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Institute for Visualization and Interactive Systems
Institute
Team
Daniel Weiskopf

Prof. Dr.

Daniel Weiskopf

Managing Director VIS, Co-Director VISUS
Visualization Research Center (VISUS) and Institute for Visualization and Interactive Systems (VIS) of the University of Stuttgart
Director Department Visualization

Contact

+49 (711) 685-88602
+49 (711) 685-88610
Email
Business card (VCF)

Allmandring 19
70569 Stuttgart
Germany
Room: 01.002

Office Hours

By appointment

Publications

Publications:

2021
1. Burch, Michael ; Huang, Weidong ; Wakefield, Mathew ; Purchase, Helen C. ; Weiskopf, Daniel ; Hua, Jie: The State of the Art in Empirical User Evaluation of Graph Visualizations. In: IEEE Access, IEEE Access. Bd. 9 (2021), S. 4173–4198
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  @article{9309216, abstract = {While graph drawing focuses more on the aesthetic representation of node-link diagrams, graph visualization takes into account other visual metaphors making them useful for graph exploration tasks in information visualization and visual analytics. Although there are aesthetic graph drawing criteria that describe how a graph should be presented to make it faster and more reliably explorable, many controlled and uncontrolled empirical user studies flourished over the past years. The goal of them is to uncover how well the human user performs graph-specific tasks, in many cases compared to previously designed graph visualizations. Due to the fact that many parameters in a graph dataset as well as the visual representation of them might be varied and many user studies have been conducted in this space, a state-of-the-art survey is needed to understand evaluation results and findings to inform the future design, research, and application of graph visualizations. In this article, we classify the present literature on the topmost level into graph interpretation, graph memorability, and graph creation where the users with their tasks stand in focus of the evaluation, not the computational aspects. As another outcome of this work, we identify the white spots in this field and sketch ideas for future research directions.}, author = {Burch, Michael and Huang, Weidong and Wakefield, Mathew and Purchase, Helen C. and Weiskopf, Daniel and Hua, Jie}, doi = {10.1109/ACCESS.2020.3047616}, journal = {IEEE Access}, pages = {4173-4198}, title = {The State of the Art in Empirical User Evaluation of Graph Visualizations}, url = {https://ieeexplore.ieee.org/abstract/document/9309216}, volume = 9, year = 2021 }
  Link
  https://ieeexplore.ieee.org/abstract/document/9309216
2. Zhou, L. ; Johnson, C. R. ; Weiskopf, D.: Data-Driven Space-Filling Curves. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 27 (2021), Nr. 2, S. 1591–1600
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  @article{9222374, abstract = {We propose a data-driven space-filling curve method for 2D and 3D visualization. Our flexible curve traverses the data elements in the spatial domain in a way that the resulting linearization better preserves features in space compared to existing methods. We achieve such data coherency by calculating a Hamiltonian path that approximately minimizes an objective function that describes the similarity of data values and location coherency in a neighborhood. Our extended variant even supports multiscale data via quadtrees and octrees. Our method is useful in many areas of visualization including multivariate or comparative visualization ensemble visualization of 2D and 3D data on regular grids or multiscale visual analysis of particle simulations. The effectiveness of our method is evaluated with numerical comparisons to existing techniques and through examples of ensemble and multivariate datasets.}, author = {{Zhou}, L. and {Johnson}, C. R. and {Weiskopf}, D.}, doi = {10.1109/TVCG.2020.3030473}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = 2, pages = {1591-1600}, title = {Data-Driven Space-Filling Curves}, url = {https://doi.org/10.1109/TVCG.2020.3030473}, volume = 27, year = 2021 }
  Link
  https://doi.org/10.1109/TVCG.2020.3030473
3. Munz, Tanja ; Väth, Dirk ; Kuznecov, Paul ; Vu, Thang ; Weiskopf, Daniel: Visual-Interactive Neural Machine Translation. In: Graphics Interface 2021, Graphics Interface 2021, 2021
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  @inproceedings{gi2021nmtvis, author = {Munz, Tanja and Väth, Dirk and Kuznecov, Paul and Vu, Thang and Weiskopf, Daniel}, booktitle = {Graphics Interface 2021}, title = {Visual-Interactive Neural Machine Translation}, url = {https://openreview.net/forum?id=DQHaCvN9xd}, year = 2021 }
  Link
  https://openreview.net/forum?id=DQHaCvN9xd
4. Hägele, David ; Abdelaal, Moataz ; Oguz, Ozgur S. ; Toussaint, Marc ; Weiskopf, Daniel: Visual analytics for nonlinear programming in robot motion planning. In: Journal of Visualization, Journal of Visualization. (2021)
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  @article{hagele2021visual, abstract = {Nonlinear programming is a complex methodology where a problem is mathematically expressed in terms of optimality while imposing constraints on feasibility. Such problems are formulated by humans and solved by optimization algorithms. We support domain experts in their challenging tasks of understanding and troubleshooting optimization runs of intricate and high-dimensional nonlinear programs through a visual analytics system. The system was designed for our collaborators’ robot motion planning problems, but is domain agnostic in most parts of the visualizations. It allows for an exploration of the iterative solving process of a nonlinear program through several linked views of the computational process. We give insights into this design study, demonstrate our system for selected real-world cases, and discuss the extension of visualization and visual analytics methods for nonlinear programming.}, author = {Hägele, David and Abdelaal, Moataz and Oguz, Ozgur S. and Toussaint, Marc and Weiskopf, Daniel}, doi = {10.1007/s12650-021-00786-8}, issn = {18758975}, journal = {Journal of Visualization}, refid = {Hägele2021}, title = {Visual analytics for nonlinear programming in robot motion planning}, url = {https://doi.org/10.1007/s12650-021-00786-8}, year = 2021 }
  Link
  https://doi.org/10.1007/s12650-021-00786-8
5. Garcia, Rafael ; Munz, Tanja ; Weiskopf, Daniel: Visual analytics tool for the interpretation of hidden states in recurrent neural networks. In: Visual Computing for Industry, Biomedicine, and Art, Visual Computing for Industry, Biomedicine, and Art. Bd. 4 (2021), Nr. 24
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  @article{vciba2021hiddenStates, abstract = {In this paper, we introduce a visual analytics approach aimed at helping machine learning experts analyze the hidden states of layers in recurrent neural networks. Our technique allows the user to interactively inspect how hidden states store and process information throughout the feeding of an input sequence into the network. The technique can help answer questions, such as which parts of the input data have a higher impact on the prediction and how the model correlates each hidden state configuration with a certain output. Our visual analytics approach comprises several components: First, our input visualization shows the input sequence and how it relates to the output (using color coding). In addition, hidden states are visualized through a nonlinear projection into a 2-D visualization space using t-distributed stochastic neighbor embedding to understand the shape of the space of the hidden states. Trajectories are also employed to show the details of the evolution of the hidden state configurations. Finally, a time-multi-class heatmap matrix visualizes the evolution of the expected predictions for multi-class classifiers, and a histogram indicates the distances between the hidden states within the original space. The different visualizations are shown simultaneously in multiple views and support brushing-and-linking to facilitate the analysis of the classifications and debugging for misclassified input sequences. To demonstrate the capability of our approach, we discuss two typical use cases for long short-term memory models applied to two widely used natural language processing datasets.}, author = {Garcia, Rafael and Munz, Tanja and Weiskopf, Daniel}, doi = {10.1186/s42492-021-00090-0}, issn = {25244442}, journal = {Visual Computing for Industry, Biomedicine, and Art}, number = 24, refid = {Garcia2021}, title = {Visual analytics tool for the interpretation of hidden states in recurrent neural networks}, url = {https://doi.org/10.1186/s42492-021-00090-0}, volume = 4, year = 2021 }
  Link
  https://doi.org/10.1186/s42492-021-00090-0
6. Armanious, Karim ; Abdulatif, Sherif ; Shi, Wenbin ; Salian, Shashank ; Küstner, Thomas ; Weiskopf, Daniel ; Hepp, Tobias ; Gatidis, Sergios ; u. a.: Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation. In: IEEE Transactions on Medical Imaging, IEEE Transactions on Medical Imaging. Bd. 40 (2021), Nr. 7, S. 1778–1791
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  @article{9380560, abstract = {The concept of biological age (BA) - although important in clinical practice - is hard to grasp mainly due to the lack of a clearly defined reference standard. For specific applications, especially in pediatrics, medical image data are used for BA estimation in a routine clinical context. Beyond this young age group, BA estimation is mostly restricted to whole-body assessment using non-imaging indicators such as blood biomarkers, genetic and cellular data. However, various organ systems may exhibit different aging characteristics due to lifestyle and genetic factors. Thus, a whole-body assessment of the BA does not reflect the deviations of aging behavior between organs. To this end, we propose a new imaging-based framework for organ-specific BA estimation. In this initial study we focus mainly on brain MRI. As a first step, we introduce a chronological age (CA) estimation framework using deep convolutional neural networks (Age-Net). We quantitatively assess the performance of this framework in comparison to existing state-of-the-art CA estimation approaches. Furthermore, we expand upon Age-Net with a novel iterative data-cleaning algorithm to segregate atypical-aging patients (BA ≉ CA) from the given population. We hypothesize that the remaining population should approximate the true BA behavior. We apply the proposed methodology on a brain magnetic resonance image (MRI) dataset containing healthy individuals as well as Alzheimer’s patients with different dementia ratings. We demonstrate the correlation between the predicted BAs and the expected cognitive deterioration in Alzheimer’s patients. A statistical and visualization-based analysis has provided evidence regarding the potential and current challenges of the proposed methodology.}, author = {Armanious, Karim and Abdulatif, Sherif and Shi, Wenbin and Salian, Shashank and Küstner, Thomas and Weiskopf, Daniel and Hepp, Tobias and Gatidis, Sergios and Yang, Bin}, doi = {10.1109/TMI.2021.3066857}, issn = {1558-254X}, journal = {IEEE Transactions on Medical Imaging}, number = 7, pages = {1778-1791}, title = {Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation}, url = {https://ieeexplore.ieee.org/document/9380560/}, volume = 40, year = 2021 }
  Link
  https://ieeexplore.ieee.org/document/9380560/
7. Bian, R. ; Xue, Y. ; Zhou, L. ; Zhang, J. ; Chen, B. ; Weiskopf, D. ; Wang, Y.: Implicit Multidimensional Projection of Local Subspaces. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 27 (2021), Nr. 2, S. 1558–1568
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  @article{9222353, abstract = {We propose a visualization method to understand the effect of multidimensional projection on local subspaces, using implicit function differentiation. Here, we understand the local subspace as the multidimensional local neighborhood of data points. Existing methods focus on the projection of multidimensional data points, and the neighborhood information is ignored. Our method is able to analyze the shape and directional information of the local subspace to gain more insights into the global structure of the data through the perception of local structures. Local subspaces are fitted by multidimensional ellipses that are spanned by basis vectors. An accurate and efficient vector transformation method is proposed based on analytical differentiation of multidimensional projections formulated as implicit functions. The results are visualized as glyphs and analyzed using a full set of specifically-designed interactions supported in our efficient web-based visualization tool. The usefulness of our method is demonstrated using various multi- and high-dimensional benchmark datasets. Our implicit differentiation vector transformation is evaluated through numerical comparisons; the overall method is evaluated through exploration examples and use cases.}, author = {{Bian}, R. and {Xue}, Y. and {Zhou}, L. and {Zhang}, J. and {Chen}, B. and {Weiskopf}, D. and {Wang}, Y.}, doi = {10.1109/TVCG.2020.3030368}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = 2, pages = {1558-1568}, title = {Implicit Multidimensional Projection of Local Subspaces}, url = {https://doi.org/10.1109/TVCG.2020.3030368}, volume = 27, year = 2021 }
  Link
  https://doi.org/10.1109/TVCG.2020.3030368
8. Knippers, Jan ; Kropp, Cordula ; Menges, Achim ; Sawodny, Oliver ; Weiskopf, Daniel: Integratives computerbasiertes Planen und Bauen: Architektur digital neu denken. In: Bautechnik, Bautechnik. Bd. 98, Wiley (2021), Nr. 3, S. 194--207
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  @article{Knippers_2021, author = {Knippers, Jan and Kropp, Cordula and Menges, Achim and Sawodny, Oliver and Weiskopf, Daniel}, doi = {10.1002/bate.202000106}, journal = {Bautechnik}, month = feb, number = 3, pages = {194--207}, publisher = {Wiley}, title = {Integratives computerbasiertes Planen und Bauen: Architektur digital neu denken}, url = {https://doi.org/10.1002%2Fbate.202000106}, volume = 98, year = 2021 }
  Link
  https://doi.org/10.1002%2Fbate.202000106
2020
1. Brich, Nicolas ; Schulz, Christoph ; Peter, Jörg ; Klingert, Wilfried ; Schenk, Martin ; Weiskopf, Daniel ; Krone, Michael: Visual Analysis of Multivariate Intensive Care Surveillance Data. In: Kozlíková, B. ; Krone, M. ; Smit, N. ; Nieselt, K. ; Raidou, R. G. (Hrsg.) ; Kozlíková, B. ; Krone, M. ; Smit, N. ; Nieselt, K. ; Raidou, R. G. (Hrsg.): Eurographics Workshop on Visual Computing for Biology and Medicine, Eurographics Workshop on Visual Computing for Biology and Medicine : The Eurographics Association, 2020 — ISBN 978-3-03868-109-0
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  @inproceedings{Nicolas2020Visual, author = {Brich, Nicolas and Schulz, Christoph and Peter, Jörg and Klingert, Wilfried and Schenk, Martin and Weiskopf, Daniel and Krone, Michael}, booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine}, doi = {10.2312/vcbm.20201174}, editor = {Kozlíková, Barbora and Krone, Michael and Smit, Noeska and Nieselt, Kay and Raidou, Renata Georgia}, isbn = {978-3-03868-109-0}, issn = {2070-5786}, publisher = {The Eurographics Association}, title = {Visual Analysis of Multivariate Intensive Care Surveillance Data}, year = 2020 }
2. Kumar, Ayush ; Mohanty, Debesh ; Kurzhals, Kuno ; Beck, Fabian ; Weiskopf, Daniel ; Mueller, Klaus: Demo of the EyeSAC System for Visual Synchronization, Cleaning, and Annotation of Eye Movement Data. In: ACM Symposium on Eye Tracking Research and Applications, ACM Symposium on Eye Tracking Research and Applications. Stuttgart, Germany : Association for Computing Machinery, 2020 — ISBN 9781450371353
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  @inproceedings{10.1145/3379157.3391988, abstract = {Eye movement data analysis plays an important role in examining human cognitive processes and perceptions. Such analysis at times needs data recording from additional sources too during experiments. In this paper, we study a pair programming based collaboration using two eye trackers, stimulus recording, and an external camera recording. To analyze the collected data, we introduce the EyeSAC system that synchronizes the data from different sources and that removes the noisy and missing gazes from eye tracking data with the help of visual feedback from the external recording. The synchronized and cleaned data is further annotated using our system and then exported for further analysis.}, address = {New York, NY, USA}, articleno = {4}, author = {Kumar, Ayush and Mohanty, Debesh and Kurzhals, Kuno and Beck, Fabian and Weiskopf, Daniel and Mueller, Klaus}, booktitle = {ACM Symposium on Eye Tracking Research and Applications}, doi = {10.1145/3379157.3391988}, isbn = {9781450371353}, location = {Stuttgart, Germany}, numpages = {3}, publisher = {Association for Computing Machinery}, series = {ETRA '20 Adjunct}, title = {Demo of the EyeSAC System for Visual Synchronization, Cleaning, and Annotation of Eye Movement Data}, url = {https://doi.org/10.1145/3379157.3391988}, year = 2020 }
  Link
  https://doi.org/10.1145/3379157.3391988
3. Weiskopf, Daniel: Vis4Vis: Visualization for (Empirical) Visualization Research. In: Chen, M. ; Hauser, H. ; Rheingans, P. ; Scheuermann, G. (Hrsg.) ; Chen, M. ; Hauser, H. ; Rheingans, P. ; Scheuermann, G. (Hrsg.): Foundations of Data Visualization, Foundations of Data Visualization : Springer International Publishing, 2020 — ISBN 978-3-030-34444-3, S. 209--224
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  @inbook{Weiskopf2020, abstract = {Appropriate evaluation is a key component in visualization research. It is typically based on empirical studies that assess visualization components or complete systems. While such studies often include the user of the visualization, empirical research is not necessarily restricted to user studies but may also address the technical performance of a visualization system such as its computational speed or memory consumption. Any such empirical experiment faces the issue that the underlying visualization is becoming increasingly sophisticated, leading to an increasingly difficult evaluation in complex environments. Therefore, many of the established methods of empirical studies can no longer capture the full complexity of the evaluation. One promising solution is the use of data-rich observations that we can acquire during studies to obtain more reliable interpretations of empirical research. For example, we have been witnessing an increasing availability and use of physiological sensor information from eye tracking, electrodermal activity sensors, electroencephalography, etc. Other examples are various kinds of logs of user activities such as mouse, keyboard, or touch interaction. Such data-rich empirical studies promise to be especially useful for studies in the wild and similar scenarios outside of the controlled laboratory environment. However, with the growing availability of large, complex, time-dependent, heterogeneous, and unstructured observational data, we are facing the new challenge of how we can analyze such data. This challenge can be addressed by establishing the subfield of visualization for visualization (Vis4Vis): visualization as a means of analyzing and communicating data from empirical studies to advance visualization research.}, author = {Weiskopf, Daniel}, booktitle = {Foundations of Data Visualization}, doi = {10.1007/978-3-030-34444-3_10}, editor = {Chen, Min and Hauser, Helwig and Rheingans, Penny and Scheuermann, Gerik}, isbn = {978-3-030-34444-3}, pages = {209--224}, publisher = {Springer International Publishing}, title = {Vis4Vis: Visualization for (Empirical) Visualization Research}, url = {https://doi.org/10.1007/978-3-030-34444-3_10}, year = 2020 }
  Link
  https://doi.org/10.1007/978-3-030-34444-3_10
4. Kurzhals, Kuno ; Burch, Michael ; Weiskopf, Daniel: What We See and What We Get from Visualization: Eye Tracking Beyond Gaze Distributions and Scanpaths. In: CoRR, CoRR. Bd. abs/2009.14515 (2020)
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  @article{DBLP:journals/corr/abs-2009-14515, abstract = {Technical progress in hardware and software enables us to record gaze data in everyday situations and over long time spans. Among a multitude of research opportunities, this technology enables visualization researchers to catch a glimpse behind performance measures and into the perceptual and cognitive processes of people using visualization techniques. The majority of eye tracking studies performed for visualization research is limited to the analysis of gaze distributions and aggregated statistics, thus only covering a small portion of insights that can be derived from gaze data. We argue that incorporating theories and methodology from psychology and cognitive science will benefit the design and evaluation of eye tracking experiments for visualization. This position paper outlines our experiences with eye tracking in visualization and states the benefits that an interdisciplinary research field on visualization psychology might bring for better understanding how people interpret visualizations.}, archiveprefix = {arXiv}, author = {Kurzhals, Kuno and Burch, Michael and Weiskopf, Daniel}, bibsource = {dblp computer science bibliography, https://dblp.org}, eprint = {2009.14515}, journal = {CoRR}, title = {What We See and What We Get from Visualization: Eye Tracking Beyond Gaze Distributions and Scanpaths}, url = {https://arxiv.org/abs/2009.14515}, volume = {abs/2009.14515}, year = 2020 }
  Link
  https://arxiv.org/abs/2009.14515
5. Merino, Leonel ; Sotomayor-Gómez, Boris ; Yu, Xingyao ; Salgado, Ronie ; Bergel, Alexandre ; Sedlmair, Michael ; Weiskopf, Daniel: Toward Agile Situated Visualization: An Exploratory User Study. In: Proceedings of the CHI Conference on Human Factors in Computing Systems-Extended Abstracts (CHI-EA), Proceedings of the CHI Conference on Human Factors in Computing Systems-Extended Abstracts (CHI-EA), 2020 — ISBN 9781450368193, S. LBW087:1–LBW087:7
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  @inproceedings{10.1145/3334480.3383017, abstract = {We introduce AVAR, a prototypical implementation of an agile situated visualization (SV) toolkit targeting liveness, integration, and expressiveness. We report on results of an exploratory study with AVAR and seven expert users. In it, participants wore a Microsoft HoloLens device and used a Bluetooth keyboard to program a visualization script for a given dataset. To support our analysis, we (i) video recorded sessions, (ii) tracked users' interactions, and (iii) collected data of participants' impressions. Our prototype confirms that agile SV is feasible. That is, liveness boosted participants' engagement when programming an SV, and so, the sessions were highly interactive and participants were willing to spend much time using our toolkit (i.e., median ≥ 1.5 hours). Participants used our integrated toolkit to deal with data transformations, visual mappings, and view transformations without leaving the immersive environment. Finally, participants benefited from our expressive toolkit and employed multiple of the available features when programming an SV.}, author = {Merino, Leonel and Sotomayor-G\'{o}mez, Boris and Yu, Xingyao and Salgado, Ronie and Bergel, Alexandre and Sedlmair, Michael and Weiskopf, Daniel}, booktitle = {Proceedings of the CHI Conference on Human Factors in Computing Systems-Extended Abstracts (CHI-EA)}, doi = {10.1145/3334480.3383017}, isbn = {9781450368193}, numpages = {7}, pages = {LBW087:1–LBW087:7}, title = {Toward Agile Situated Visualization: An Exploratory User Study}, url = {https://dl.acm.org/doi/abs/10.1145/3334480.3383017}, year = 2020 }
  Link
  https://dl.acm.org/doi/abs/10.1145/3334480.3383017
6. Rodrigues, Nils ; Schulz, Christoph ; Lhuillier, Antoine ; Weiskopf, Daniel: Cluster-Flow Parallel Coordinates: Tracing Clusters Across Subspaces. In: Proceedings of the Graphics Interface Conference (GI) (forthcoming), Proceedings of the Graphics Interface Conference (GI) (forthcoming), 2020, S. 0:1-0:11
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  @inproceedings{rodrigues2020clusterflow, abstract = {We present a novel variant of parallel coordinates plots (PCPs) in which we show clusters in 2D subspaces of multivariate data and emphasize flow between them. We achieve this by duplicating and stacking individual axes vertically. On a high level, our cluster-flow layout shows how data points move from one cluster to another in different subspaces. We achieve cluster-based bundling and limit plot growth through the reduction of available vertical space for each duplicated axis. Although we introduce space between clusters, we preserve the readability of intra-cluster correlations by starting and ending with the original slopes from regular PCPs and drawing Hermite spline segments in between. Moreover, our rendering technique enables the visualization of small and large data sets alike. Cluster-flow PCPs can even propagate the uncertainty inherent to fuzzy clustering through the layout and rendering stages of our pipeline. Our layout algorithm is based on A*. It achieves an optimal result with regard to a novel set of cost functions that allow us to arrange axes horizontally (dimension ordering) and vertically (cluster ordering).}, author = {Rodrigues, Nils and Schulz, Christoph and Lhuillier, Antoine and Weiskopf, Daniel}, booktitle = {Proceedings of the Graphics Interface Conference (GI) (forthcoming)}, pages = {0:1-0:11}, title = {Cluster-Flow Parallel Coordinates: Tracing Clusters Across Subspaces}, url = {https://openreview.net/forum?id=oVHjlwLkl-}, year = 2020 }
  Link
  https://openreview.net/forum?id=oVHjlwLkl-
7. Zhou, Liang ; Rivinius, Marc ; Johnson, Chris R. ; Weiskopf, Daniel: Photographic High-Dynamic-Range Scalar Visualization. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 26 (2020), Nr. 6, S. 2156–2167
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  @article{9035636, abstract = {We propose a photographic method to show scalar values of high dynamic range (HDR) by color mapping for 2D visualization. We combine (1) tone-mapping operators that transform the data to the display range of the monitor while preserving perceptually important features, based on a systematic evaluation, and (2) simulated glares that highlight high-value regions. Simulated glares are effective for highlighting small areas (of a few pixels) that may not be visible with conventional visualizations; through a controlled perception study, we confirm that glare is preattentive. The usefulness of our overall photographic HDR visualization is validated through the feedback of expert users.}, author = {Zhou, Liang and Rivinius, Marc and Johnson, Chris R. and Weiskopf, Daniel}, doi = {10.1109/TVCG.2020.2970522}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = 6, pages = {2156-2167}, title = {Photographic High-Dynamic-Range Scalar Visualization}, url = {https://doi.org/10.1109/TVCG.2020.2970522}, volume = 26, year = 2020 }
  Link
  https://doi.org/10.1109/TVCG.2020.2970522
8. Kumar, Ayush ; Howlader, Prantik ; Garcia, Rafael ; Weiskopf, Daniel ; Mueller, Klaus: Challenges in Interpretability of Neural Networks for Eye Movement Data. In: ACM Symposium on Eye Tracking Research and Applications, ACM Symposium on Eye Tracking Research and Applications. Stuttgart, Germany : Association for Computing Machinery, 2020 — ISBN 9781450371346
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  @inproceedings{10.1145/3379156.3391361, abstract = {Many applications in eye tracking have been increasingly employing neural networks to solve machine learning tasks. In general, neural networks have achieved impressive results in many problems over the past few years, but they still suffer from the lack of interpretability due to their black-box behavior. While previous research on explainable AI has been able to provide high levels of interpretability for models in image classification and natural language processing tasks, little effort has been put into interpreting and understanding networks trained with eye movement datasets. This paper discusses the importance of developing interpretability methods specifically for these models. We characterize the main problems for interpreting neural networks with this type of data, how they differ from the problems faced in other domains, and why existing techniques are not sufficient to address all of these issues. We present preliminary experiments showing the limitations that current techniques have and how we can improve upon them. Finally, based on the evaluation of our experiments, we suggest future research directions that might lead to more interpretable and explainable neural networks for eye tracking.}, address = {New York, NY, USA}, articleno = {12}, author = {Kumar, Ayush and Howlader, Prantik and Garcia, Rafael and Weiskopf, Daniel and Mueller, Klaus}, booktitle = {ACM Symposium on Eye Tracking Research and Applications}, doi = {10.1145/3379156.3391361}, isbn = {9781450371346}, location = {Stuttgart, Germany}, numpages = {5}, publisher = {Association for Computing Machinery}, series = {ETRA '20 Short Papers}, title = {Challenges in Interpretability of Neural Networks for Eye Movement Data}, url = {https://doi.org/10.1145/3379156.3391361}, year = 2020 }
  Link
  https://doi.org/10.1145/3379156.3391361
9. Heyen, Frank ; Munz, Tanja ; Neumann, Michael ; Ortega, Daniel ; Vu, Ngoc Thang ; Weiskopf, Daniel ; Sedlmair, Michael: ClaVis: An Interactive Visual Comparison System for Classifiers. In: Proceedings of the International Conference on Advanced Visual Interfaces (AVI), Proceedings of the International Conference on Advanced Visual Interfaces (AVI) : ACM, 2020 — ISBN 9781450375351, S. 9:1-9:9
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  @inproceedings{10.1145/3399715.3399814, abstract = {We propose ClaVis, a visual analytics system for comparative analysis of classification models. ClaVis allows users to visually compare the performance and behavior of tens to hundreds of classifiers trained with different hyperparameter configurations. Our approach is plugin-based and classifier-agnostic and allows users to add their own datasets and classifier implementations. It provides multiple visualizations, including a multivariate ranking, a similarity map, a scatterplot that reveals correlations between parameters and scores, and a training history chart. We demonstrate the effectivity of our approach in multiple case studies for training classification models in the domain of natural language processing.}, author = {Heyen, Frank and Munz, Tanja and Neumann, Michael and Ortega, Daniel and Vu, Ngoc Thang and Weiskopf, Daniel and Sedlmair, Michael}, booktitle = {Proceedings of the International Conference on Advanced Visual Interfaces (AVI)}, doi = {10.1145/3399715.3399814}, isbn = {9781450375351}, pages = {9:1-9:9}, publisher = {ACM}, series = {AVI '20}, title = {ClaVis: An Interactive Visual Comparison System for Classifiers}, url = {https://doi.org/10.1145/3399715.3399814}, year = 2020 }
  Link
  https://doi.org/10.1145/3399715.3399814
10. Schatz, K. ; Müller, C. ; Gralka, P. ; Heinemann, M. ; Straub, A. ; Schulz, C. ; Braun, M. ; Rau, T. ; u. a.: 2019 IEEE Scientific Visualization Contest Winner: Visual Analysis of Structure Formation in Cosmic Evolution. In: IEEE Computer Graphics and Applications (CG&A), IEEE Computer Graphics and Applications (CG&A). (2020)
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  @article{9126163, abstract = {Simulations of cosmic evolution are a means to explain the formation of the universe as we see it today. The resulting data of such simulations comprise numerous physical quantities, which turns their analysis into a complex task. Here, we analyze such high-dimensional and time-varying particle data using various visualization techniques from the fields of particle visualization, flow visualization, volume visualization, and information visualization. Our approach employs specialized filters to extract and highlight the development of so-called active galactic nuclei and filament structures formed by the particles. Additionally, we calculate X-ray emission of the evolving structures in a pre-processing step to complement visual analysis. Our approach is integrated into a single visual analytics framework to allow for analysis of star formation at interactive frame rates. Finally, we lay out the methodological aspects of our work that led to success at the 2019 IEEE SciVis Contest.}, author = {Schatz, K. and Müller, C. and Gralka, P. and Heinemann, M. and Straub, A. and Schulz, C. and Braun, M. and Rau, T. and Becher, M. and Frey, S. and Reina, G. and Sedlmair, M. and Weiskopf, D. and Ertl, T. and Diehl, P. and Marcello, D. and Frank, J. and Müller, T.}, doi = {10.1109/MCG.2020.3004613}, journal = {IEEE Computer Graphics and Applications (CG&A)}, title = {2019 IEEE Scientific Visualization Contest Winner: Visual Analysis of Structure Formation in Cosmic Evolution}, url = {https://ieeexplore.ieee.org/document/9126163}, year = 2020 }
  Link
  https://ieeexplore.ieee.org/document/9126163
11. Merino, Leonel ; Schwarzl, Magdalena ; Kraus, Matthias ; Sedlmair, Michael ; Schmalstieg, Dieter ; Weiskopf, Daniel: Evaluating Mixed and Augmented Reality: A Systematic Literature Review (2009 -- 2019). In: IEEE International Symposium on Mixed and Augmented Reality (ISMAR), IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2020
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  @inproceedings{merino2020ismar, abstract = {We present a systematic review of 45S papers that report on evaluations in mixed and augmented reality (MR/AR) published in ISMAR, CHI, IEEE VR, and UIST over a span of 11 years (2009-2019). Our goal is to provide guidance for future evaluations of MR/AR approaches. To this end, we characterize publications by paper type (e.g., technique, design study), research topic (e.g., tracking, rendering), evaluation scenario (e.g., algorithm performance, user performance), cognitive aspects (e.g., perception, emotion), and the context in which evaluations were conducted (e.g., lab vs. in-thewild). We found a strong coupling of types, topics, and scenarios. We observe two groups: (a) technology-centric performance evaluations of algorithms that focus on improving tracking, displays, reconstruction, rendering, and calibration, and (b) human-centric studies that analyze implications of applications and design, human factors on perception, usability, decision making, emotion, and attention. Amongst the 458 papers, we identified 248 user studies that involved 5,761 participants in total, of whom only 1,619 were identified as female. We identified 43 data collection methods used to analyze 10 cognitive aspects. We found nine objective methods, and eight methods that support qualitative analysis. A majority (216/248) of user studies are conducted in a laboratory setting. Often (138/248), such studies involve participants in a static way. However, we also found a fair number (30/248) of in-the-wild studies that involve participants in a mobile fashion. We consider this paper to be relevant to academia and industry alike in presenting the state-of-the-art and guiding the steps to designing, conducting, and analyzing results of evaluations in MR/AR.}, author = {Merino, Leonel and Schwarzl, Magdalena and Kraus, Matthias and Sedlmair, Michael and Schmalstieg, Dieter and Weiskopf, Daniel}, booktitle = {IEEE International Symposium on Mixed and Augmented Reality (ISMAR)}, doi = {doi: 10.1109/ISMAR50242.2020.00069.}, title = {Evaluating Mixed and Augmented Reality: A Systematic Literature Review (2009 -- 2019)}, url = {https://ieeexplore.ieee.org/abstract/document/9284762}, year = 2020 }
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  https://ieeexplore.ieee.org/abstract/document/9284762
12. Pathmanathan, Nelusa ; Becher, Michael ; Rodrigues, Nils ; Reina, Guido ; Ertl, Thomas ; Weiskopf, Daniel ; Sedlmair, Michael: Eye vs. Head: Comparing Gaze Methods for Interaction in Augmented Reality. In: Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA). Stuttgart, Germany : ACM, 2020 — ISBN 9781450371346, S. 50:1-50:5
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  @inproceedings{10.1145/3379156.3391829, abstract = {Visualization in virtual 3D environments can provide a natural way for users to explore data. Often, arm and short head movements are required for interaction in augmented reality, which can be tiring and strenuous though. In an effort toward more user-friendly interaction, we developed a prototype that allows users to manipulate virtual objects using a combination of eye gaze and an external clicker device. Using this prototype, we performed a user study comparing four different input methods of which head gaze plus clicker was preferred by most participants.}, articleno = {50}, author = {Pathmanathan, Nelusa and Becher, Michael and Rodrigues, Nils and Reina, Guido and Ertl, Thomas and Weiskopf, Daniel and Sedlmair, Michael}, booktitle = {Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA)}, doi = {10.1145/3379156.3391829}, isbn = {9781450371346}, location = {Stuttgart, Germany}, numpages = {5}, pages = {50:1-50:5}, publisher = {ACM}, title = {Eye vs. Head: Comparing Gaze Methods for Interaction in Augmented Reality}, url = {https://doi.org/10.1145/3379156.3391829}, year = 2020 }
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  https://doi.org/10.1145/3379156.3391829
13. Munz, Tanja ; Schäfer, Noel ; Blascheck, Tanja ; Kurzhals, Kuno ; Zhang, Eugene ; Weiskopf, Daniel: Comparative Visual Gaze Analysis for Virtual Board Games. In: The 13th International Symposium on Visual Information Communication and Interaction (VINCI 2020), The 13th International Symposium on Visual Information Communication and Interaction (VINCI 2020). (2020)
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  @article{vinci2020boardGames, author = {Munz, Tanja and Schäfer, Noel and Blascheck, Tanja and Kurzhals, Kuno and Zhang, Eugene and Weiskopf, Daniel}, doi = {10.1145/3430036.3430038}, journal = {The 13th International Symposium on Visual Information Communication and Interaction (VINCI 2020)}, title = {Comparative Visual Gaze Analysis for Virtual Board Games}, year = 2020 }
14. Kurzhals, Kuno ; Rodrigues, Nils ; Koch, Maurice ; Stoll, Michael ; Bruhn, Andres ; Bulling, Andreas ; Weiskopf, Daniel: Visual Analytics and Annotation of Pervasive Eye Tracking Video. In: Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA). Stuttgart, Germany : ACM, 2020 — ISBN 9781450371339, S. 16:1-16:9
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  @inproceedings{10.1145/3379155.3391326, abstract = {We propose a new technique for visual analytics and annotation of long-term pervasive eye tracking data for which a combined analysis of gaze and egocentric video is necessary. Our approach enables two important tasks for such data for hour-long videos from individual participants: (1) efficient annotation and (2) direct interpretation of the results. Exemplary time spans can be selected by the user and are then used as a query that initiates a fuzzy search of similar time spans based on gaze and video features. In an iterative refinement loop, the query interface then provides suggestions for the importance of individual features to improve the search results. A multi-layered timeline visualization shows an overview of annotated time spans. We demonstrate the efficiency of our approach for analyzing activities in about seven hours of video in a case study and discuss feedback on our approach from novices and experts performing the annotation task.}, articleno = {16}, author = {Kurzhals, Kuno and Rodrigues, Nils and Koch, Maurice and Stoll, Michael and Bruhn, Andres and Bulling, Andreas and Weiskopf, Daniel}, booktitle = {Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA)}, doi = {10.1145/3379155.3391326}, isbn = {9781450371339}, location = {Stuttgart, Germany}, numpages = {9}, pages = {16:1-16:9}, publisher = {ACM}, title = {Visual Analytics and Annotation of Pervasive Eye Tracking Video}, url = {https://doi.org/10.1145/3379155.3391326}, year = 2020 }
  Link
  https://doi.org/10.1145/3379155.3391326
15. Garcia, Rafael ; Weiskopf, Daniel: Inner-Process Visualization of Hidden States in Recurrent Neural Networks. In: Proceedings of the 13th International Symposium on Visual Information Communication and Interaction, Proceedings of the 13th International Symposium on Visual Information Communication and Interaction. Eindhoven, Netherlands : Association for Computing Machinery, 2020 — ISBN 9781450387507
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  @inproceedings{10.1145/3430036.3430047, abstract = {In this paper, we introduce a visualization technique aimed to help machine learning experts to analyze the hidden states of layers in recurrent neural networks (RNNs). Our technique allows the user to visually inspect how hidden states store and process information throughout the feeding of an input sequence into the network. It can answer questions such as which parts of the input data had a higher impact on the prediction and how the model correlates each hidden state configuration with a certain output. Our visualization comprises several components: our input visualization shows the input sequence and how it relates to the output (using color coding); hidden states are visualized by nonlinear projection to 2-D visualization space via t-SNE in order to understand the shape of the space of hidden states; time curves are employed to show the details of the evolution of hidden state configurations; and a time-multi-class heatmap matrix visualizes the evolution of expected predictions for multi-class classifiers. To demonstrate the capability of our approach, we discuss two typical use cases for long short-term memory (LSTM) models applied to two widely used natural language processing (NLP) datasets.}, address = {New York, NY, USA}, articleno = {20}, author = {Garcia, Rafael and Weiskopf, Daniel}, booktitle = {Proceedings of the 13th International Symposium on Visual Information Communication and Interaction}, doi = {10.1145/3430036.3430047}, isbn = {9781450387507}, location = {Eindhoven, Netherlands}, numpages = {5}, publisher = {Association for Computing Machinery}, series = {VINCI '20}, title = {Inner-Process Visualization of Hidden States in Recurrent Neural Networks}, url = {https://doi.org/10.1145/3430036.3430047}, year = 2020 }
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  https://doi.org/10.1145/3430036.3430047
16. Balestrucci, Priscilla ; Angerbauer, Katrin ; Morariu, Cristina ; Welsch, Robin ; Chuang, Lewis L ; Weiskopf, Daniel ; Ernst, Marc O ; Sedlmair, Michael: Pipelines Bent, Pipelines Broken: Interdisciplinary Self-Reflection on the Impact of COVID-19 on Current and Future Research (Position Paper). In: 2020 IEEE Workshop on Evaluation and Beyond-Methodological Approaches to Visualization (BELIV), 2020 IEEE Workshop on Evaluation and Beyond-Methodological Approaches to Visualization (BELIV) : IEEE, 2020, S. 11--18
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  @inproceedings{balestrucci2020pipelines, abstract = {Among the many changes brought about by the COVID-19 pandemic, one of the most pressing for scientific research concerns user testing. For the researchers who conduct studies with human participants, the requirements for social distancing have created a need for reflecting on methodologies that previously seemed relatively straightforward. It has become clear from the emerging literature on the topic and from first-hand experiences of researchers that the restrictions due to the pandemic affect every aspect of the research pipeline. The current paper offers an initial reflection on user-based research, drawing on the authors' own experiences and on the results of a survey that was conducted among researchers in different disciplines, primarily psychology, human-computer interaction (HCI), and visualization communities. While this sampling of researchers is by no means comprehensive, the multi-disciplinary approach and the consideration of different aspects of the research pipeline allow us to examine current and future challenges for user-based research. Through an exploration of these issues, this paper also invites others in the VIS-as well as in the wider-research community, to reflect on and discuss the ways in which the current crisis might also present new and previously unexplored opportunities.}, author = {Balestrucci, Priscilla and Angerbauer, Katrin and Morariu, Cristina and Welsch, Robin and Chuang, Lewis L and Weiskopf, Daniel and Ernst, Marc O and Sedlmair, Michael}, booktitle = {2020 IEEE Workshop on Evaluation and Beyond-Methodological Approaches to Visualization (BELIV)}, doi = {10.1109/BELIV51497.2020.00009}, organization = {IEEE}, pages = {11--18}, title = {Pipelines Bent, Pipelines Broken: Interdisciplinary Self-Reflection on the Impact of COVID-19 on Current and Future Research (Position Paper)}, url = {https://ieeexplore.ieee.org/abstract/document/9307759}, year = 2020 }
  Link
  https://ieeexplore.ieee.org/abstract/document/9307759
17. Sondag, Max ; Meulemans, Wouter ; Schulz, Christoph ; Verbeek, Kevin ; Weiskopf, Daniel ; Speckmann, Bettina: Uncertainty Treemaps. In: Proceedings of the IEEE Pacific Visualization Symposium (PacificVis), Proceedings of the IEEE Pacific Visualization Symposium (PacificVis), 2020, S. 111–120
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  @inproceedings{sondag2020uncertainty, abstract = {Rectangular treemaps visualize hierarchical numerical data by recursively partitioning an input rectangle into smaller rectangles whose areas match the data. Numerical data often has uncertainty associated with it. To visualize uncertainty in a rectangular treemap, we identify two conflicting key requirements: (i) to assess the data value of a node in the hierarchy, the area of its rectangle should directly match its data value, and (ii) to facilitate comparison between data and uncertainty, uncertainty should be encoded using the same visual variable as the data, that is, area. We present Uncertainty Treemaps, which meet both requirements simultaneously by introducing the concept of hierarchical uncertainty masks. First, we define a new cost function that measures the quality of Uncertainty Treemaps. Then, we show how to adapt existing treemapping algorithms to support uncertainty masks. Finally, we demonstrate the usefulness and quality of our technique through an expert review and a computational experiment on real-world datasets.}, author = {Sondag, Max and Meulemans, Wouter and Schulz, Christoph and Verbeek, Kevin and Weiskopf, Daniel and Speckmann, Bettina}, booktitle = {Proceedings of the IEEE Pacific Visualization Symposium (PacificVis)}, doi = {10.1109/PacificVis48177.2020.7614}, pages = {111-120}, title = {Uncertainty Treemaps}, url = {https://ieeexplore.ieee.org/document/9086235}, year = 2020 }
  Link
  https://ieeexplore.ieee.org/document/9086235
18. Öney, Seyda ; Rodrigues, Nils ; Becher, Michael ; Reina, Guido ; Ertl, Thomas ; Sedlmair, Michael ; Weiskopf, Daniel: Evaluation of Gaze Depth Estimation from Eye Tracking in Augmented Reality. In: Proceedings of the Symposium on Eye Tracking Research & Applications-Short Paper (ETRA-SP), Proceedings of the Symposium on Eye Tracking Research & Applications-Short Paper (ETRA-SP) : ACM, 2020, S. 49:1-49:5
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  @inproceedings{oney_evaluation_2020, abstract = {Gaze tracking in 3D has the potential to improve interaction with objects and visualizations in augmented reality. However, previous research showed that subjective perception of distance varies between real and virtual surroundings. We wanted to determine whether objectively measured 3D gaze depth through eye tracking also exhibits differences between entirely real and augmented environments. To this end, we conducted an experiment (N = 25) in which we used Microsoft HoloLens with a binocular eye tracking add-on from Pupil Labs. Participants performed a task that required them to look at stationary real and virtual objects while wearing a HoloLens device. We were not able to find significant differences in the gaze depth measured by eye tracking. Finally, we discuss our findings and their implications for gaze interaction in immersive analytics, and the quality of the collected gaze data.}, author = {Öney, Seyda and Rodrigues, Nils and Becher, Michael and Reina, Guido and Ertl, Thomas and Sedlmair, Michael and Weiskopf, Daniel}, booktitle = {Proceedings of the Symposium on Eye Tracking Research & Applications-Short Paper (ETRA-SP)}, doi = {10.1145/3379156.3391835}, pages = {49:1-49:5}, publisher = {ACM}, title = {Evaluation of Gaze Depth Estimation from Eye Tracking in Augmented Reality}, url = {https://doi.org/10.1145/3379156.3391835}, year = 2020 }
  Link
  https://doi.org/10.1145/3379156.3391835
19. Hägele, David ; Abdelaal, Moataz ; Oguz, Ozgur S. ; Toussaint, Marc ; Weiskopf, Daniel: Visualization of Nonlinear Programming for Robot Motion Planning. In: Proceedings of the 13th International Symposium on Visual Information Communication and Interaction, Proceedings of the 13th International Symposium on Visual Information Communication and Interaction. Eindhoven, Netherlands : Association for Computing Machinery, 2020 — ISBN 9781450387507
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  @inproceedings{haegele2020nonlinear, abstract = {Nonlinear programming targets nonlinear optimization with constraints, which is a generic yet complex methodology involving humans for problem modeling and algorithms for problem solving. We address the particularly hard challenge of supporting domain experts in handling, understanding, and trouble-shooting high-dimensional optimization with a large number of constraints. Leveraging visual analytics, users are supported in exploring the computation process of nonlinear constraint optimization. Our system was designed for robot motion planning problems and developed in tight collaboration with domain experts in nonlinear programming and robotics. We report on the experiences from this design study, illustrate the usefulness for relevant example cases, and discuss the extension to visual analytics for nonlinear programming in general.}, address = {New York, NY, USA}, articleno = {10}, author = {Hägele, David and Abdelaal, Moataz and Oguz, Ozgur S. and Toussaint, Marc and Weiskopf, Daniel}, booktitle = {Proceedings of the 13th International Symposium on Visual Information Communication and Interaction}, doi = {10.1145/3430036.3430050}, isbn = {9781450387507}, location = {Eindhoven, Netherlands}, numpages = {8}, publisher = {Association for Computing Machinery}, series = {VINCI '20}, title = {Visualization of Nonlinear Programming for Robot Motion Planning}, url = {https://doi.org/10.1145/3430036.3430050}, year = 2020 }
  Link
  https://doi.org/10.1145/3430036.3430050
2019
1. Munz, Tanja ; Chuang, Lewis L. ; Pannasch, Sebastian ; Weiskopf, Daniel: VisME: Visual microsaccades explorer. In: Journal of Eye Movement Research, Journal of Eye Movement Research. Bd. 12 (2019), Nr. 6
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  @article{munz2019visme, abstractnote = {<p>This work presents a visual analytics approach to explore microsaccade distributions in high-frequency eye tracking data. Research studies often apply filter algorithms and parameter values for microsaccade detection. Even when the same algorithms are employed, different parameter values might be adopted across different studies. In this paper, we present a visual analytics system (VisME) to promote reproducibility in the data analysis of microsaccades. It allows users to interactively vary the parametric values for microsaccade filters and evaluate the resulting influence on microsaccade behavior across individuals and on a group level. In particular, we exploit brushing-and-linking techniques that allow the microsaccadic properties of space, time, and movement direction to be extracted, visualized, and compared across multiple views. We demonstrate in a case study the use of our visual analytics system on data sets collected from natural scene viewing and show in a qualitative usability study the usefulness of this approach for eye tracking researchers. We believe that interactive tools such as VisME will promote greater transparency in eye movement research by providing researchers with the ability to easily understand complex eye tracking data sets; such tools can also serve as teaching systems. VisME is provided as open source software.</p&gt;}, author = {Munz, Tanja and Chuang, Lewis L. and Pannasch, Sebastian and Weiskopf, Daniel}, doi = {10.16910/jemr.12.6.5}, journal = {Journal of Eye Movement Research}, month = {Dec.}, number = 6, title = {VisME: Visual microsaccades explorer}, url = {https://bop.unibe.ch/JEMR/article/view/JEMR.12.6.5}, volume = 12, year = 2019 }
  Link
  https://bop.unibe.ch/JEMR/article/view/JEMR.12.6.5
2. Görtler, Jochen ; Spicker, Marc ; Schulz, Christoph ; Weiskopf, Daniel ; Deussen, Oliver: Stippling of 2D Scalar Fields. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 25 (2019), Nr. 6, S. 2193–2204
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  @article{journals/tvcg/GortlerSSWD19, abstract = {We propose a technique to represent two-dimensional data using stipples. While stippling is often regarded as an illustrative method, we argue that it is worth investigating its suitability for the visualization domain. For this purpose, we generalize the Linde-Buzo-Gray stippling algorithm for information visualization purposes to encode continuous and discrete 2D data. Our proposed modifications provide more control over the resulting distribution of stipples for encoding additional information into the representation, such as contours. We show different approaches to depict contours in stipple drawings based on locally adjusting the stipple distribution. Combining stipple-based gradients and contours allows for simultaneous assessment of the overall structure of the data while preserving important local details. We discuss the applicability of our technique using datasets from different domains and conduct observation-validating studies to assess the perception of stippled representations}, author = {Görtler, Jochen and Spicker, Marc and Schulz, Christoph and Weiskopf, Daniel and Deussen, Oliver}, doi = {10.1109/TVCG.2019.2903945}, ee = {https://doi.org/10.1109/TVCG.2019.2903945}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = 6, pages = {2193-2204}, title = {Stippling of 2D Scalar Fields}, url = {https://ieeexplore.ieee.org/document/8667696}, volume = 25, year = 2019 }
  Link
  https://ieeexplore.ieee.org/document/8667696
3. Wang, Yunhai ; Wang, Zeyu ; Fu, Chi-Wing ; Schmauder, Hansjörg ; Deussen, Oliver ; Weiskopf, Daniel: Image-Based Aspect Ratio Selection. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 25 (2019), Nr. 1, S. 840–849
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  @article{journals/tvcg/WangWFSDW19, abstract = {Selecting a good aspect ratio is crucial for effective 2D diagrams. There are several aspect ratio selection methods for function plots and line charts, but only few can handle general, discrete diagrams such as 2D scatter plots. However, these methods either lack a perceptual foundation or heavily rely on intermediate isoline representations, which depend on choosing the right isovalues and are time-consuming to compute. This paper introduces a general image-based approach for selecting aspect ratios for a wide variety of 2D diagrams, ranging from scatter plots and density function plots to line charts. Our approach is derived from Federer's co-area formula and a line integral representation that enable us to directly construct image-based versions of existing selection methods using density fields. In contrast to previous methods, our approach bypasses isoline computation, so it is faster to compute, while following the perceptual foundation to select aspect ratios. Furthermore, this approach is complemented by an anisotropic kernel density estimation to construct density fields, allowing us to more faithfully characterize data patterns, such as the subgroups in scatterplots or dense regions in time series. We demonstrate the effectiveness of our approach by quantitatively comparing to previous methods and revisiting a prior user study. Finally, we present extensions for ROI banking, multi-scale banking, and the application to image data.}, author = {Wang, Yunhai and Wang, Zeyu and Fu, Chi-Wing and Schmauder, Hansjörg and Deussen, Oliver and Weiskopf, Daniel}, doi = {10.1109/TVCG.2018.2865266}, ee = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2018.2865266}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = 1, pages = {840-849}, title = {Image-Based Aspect Ratio Selection.}, url = {https://ieeexplore.ieee.org/document/8440843}, volume = 25, year = 2019 }
  Link
  https://ieeexplore.ieee.org/document/8440843
4. Schatz, Karsten ; Müller, Christoph ; Gralka, Patrick ; Heinemann, Moritz ; Straub, Alexander ; Schulz, Christoph ; Braun, Matthias ; Rau, Tobias ; u. a.: Visual Analysis of Structure Formation in Cosmic Evolution. In: Proceedings of the IEEE Scientific Visualization Conference (SciVis), Proceedings of the IEEE Scientific Visualization Conference (SciVis), 2019, S. 33–41
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  @inproceedings{schatz2019visual, abstract = {The IEEE SciVis 2019 Contest targets the visual analysis of structure formation in the cosmic evolution of the universe from when the universe was five million years old up to now. In our submission, we analyze high-dimensional data to get an overview, then investigate the impact of Active Galactic Nuclei (AGNs) using various visualization techniques, for instance, an adapted filament filtering method for detailed analysis and particle flow in the vicinity of filaments. Based on feedback from domain scientists on these initial visualizations, we also analyzed X-ray emissions and star formation areas. The conversion of star-forming gas to stars and the resulting increasing molecular weight of the particles could be observed.}, author = {Schatz, Karsten and Müller, Christoph and Gralka, Patrick and Heinemann, Moritz and Straub, Alexander and Schulz, Christoph and Braun, Matthias and Rau, Tobias and Becher, Michael and Diehl, Patrick and Marcello, Dominic and Frank, Juhan and Müller, Thomas and Frey, Steffen and Reina, Guido and Weiskopf, Daniel and Ertl, Thomas}, booktitle = {Proceedings of the IEEE Scientific Visualization Conference (SciVis)}, doi = {10.1109/scivis47405.2019.8968855}, pages = {33-41}, title = {Visual Analysis of Structure Formation in Cosmic Evolution}, url = {https://ieeexplore.ieee.org/abstract/document/8968855}, year = 2019 }
  Link
  https://ieeexplore.ieee.org/abstract/document/8968855
5. Bruder, Valentin ; Schulz, Christoph ; Bauer, Ruben ; Frey, Steffen ; Weiskopf, Daniel ; Ertl, Thomas: Voronoi-Based Foveated Volume Rendering. In: Johansson, J. ; Sadlo, F. ; Marai, G. E. (Hrsg.) ; Johansson, J. ; Sadlo, F. ; Marai, G. E. (Hrsg.): Proceedings of the Eurographics Conference on Visualization - Short Papers (EuroVis), Proceedings of the Eurographics Conference on Visualization - Short Papers (EuroVis) : Eurographics Association, 2019 — ISBN 978-3-03868-090-1, S. 67–71
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  @inproceedings{conf/vissym/BruderSBFWE19, abstract = {Foveal vision is located in the center of the field of view with a rich impression of detail and color, whereas peripheral visionoccurs on the side with more fuzzy and colorless perception. This visual acuity fall-off can be used to achieve higher frame ratesby adapting rendering quality to the human visual system. Volume raycasting has unique characteristics, preventing a directtransfer of many traditional foveated rendering techniques. We present an approach that utilizes the visual acuity fall-off toaccelerate volume rendering based on Linde-Buzo-Gray sampling and natural neighbor interpolation. First, we measure gazeusing a stationary 1200 Hz eye-tracking system. Then, we adapt our sampling and reconstruction strategy to that gaze. Finally,we apply a temporal smoothing filter to attenuate undersampling artifacts since peripheral vision is particularly sensitive tocontrast changes and movement. Our approach substantially improves rendering performance with barely perceptible changes invisual quality. We demonstrate the usefulness of our approach through performance measurements on various data se}, author = {Bruder, Valentin and Schulz, Christoph and Bauer, Ruben and Frey, Steffen and Weiskopf, Daniel and Ertl, Thomas}, booktitle = {Proceedings of the Eurographics Conference on Visualization - Short Papers (EuroVis)}, doi = {10.2312/evs.20191172}, editor = {Johansson, Jimmy and Sadlo, Filip and Marai, G. Elisabeta}, ee = {https://doi.org/10.2312/evs.20191172}, isbn = {978-3-03868-090-1}, pages = {67-71}, publisher = {Eurographics Association}, title = {Voronoi-Based Foveated Volume Rendering}, url = {https://doi.org/10.2312/evs.20191172}, year = 2019 }
  Link
  https://doi.org/10.2312/evs.20191172
6. Munz, Tanja ; Burch, Michael ; van Benthem, Toon ; Poels, Yoeri ; Beck, Fabian ; Weiskopf, Daniel: Overlap-Free Drawing of Generalized Pythagoras Trees for Hierarchy Visualization. In: 2019 IEEE Visualization Conference (VIS), 2019 IEEE Visualization Conference (VIS), 2019, S. 251–255
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  @inproceedings{8933606, abstract = {Generalized Pythagoras trees were developed for visualizing hierarchical data, producing organic, fractal-like representations. However, the drawback of the original layout algorithm is visual overlap of tree branches. To avoid such overlap, we introduce an adapted drawing algorithm using ellipses instead of circles to recursively place tree nodes representing the subhierarchies. Our technique is demonstrated by resolving overlap in diverse real-world and generated datasets, while comparing the results to the original approach.}, author = {Munz, Tanja and Burch, Michael and van Benthem, Toon and Poels, Yoeri and Beck, Fabian and Weiskopf, Daniel}, booktitle = {2019 IEEE Visualization Conference (VIS)}, doi = {10.1109/VISUAL.2019.8933606}, month = oct, pages = {251-255}, title = {Overlap-Free Drawing of Generalized Pythagoras Trees for Hierarchy Visualization}, url = {https://ieeexplore.ieee.org/document/8933606/}, year = 2019 }
  Link
  https://ieeexplore.ieee.org/document/8933606/
7. Bruder, Valentin ; Kurzhals, Kuno ; Frey, Steffen ; Weiskopf, Daniel ; Ertl, Thomas: Space-Time Volume Visualization of Gaze and Stimulus. In: Krejtz, K. ; Sharif, B. (Hrsg.) ; Krejtz, K. ; Sharif, B. (Hrsg.): Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA) : ACM, 2019 — ISBN 978-1-4503-6709-7, S. 12:1-12:9
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  @inproceedings{conf/etra/BruderKFWE19, abstract = {We present a method for the spatio-temporal analysis of gaze data from multiple participants in the context of a video stimulus. For such data, an overview of the recorded patterns is important to identify common viewing behavior (such as attentional synchrony) and outliers. We adopt the approach of space-time cube visualization, which extends the spatial dimensions of the stimulus by time as the third dimension. Previous work mainly handled eye tracking data in the space-time cube as point cloud, providing no information about the stimulus context. This paper presents a novel visualization technique that combines gaze data, a dynamic stimulus, and optical flow with volume rendering to derive an overview of the data with contextual information. With specifically designed transfer functions, we emphasize different data aspects, making the visualization suitable for explorative analysis and for illustrative support of statistical findings alike.}, author = {Bruder, Valentin and Kurzhals, Kuno and Frey, Steffen and Weiskopf, Daniel and Ertl, Thomas}, booktitle = {Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA)}, doi = {10.1145/3314111.3319812}, editor = {Krejtz, Krzysztof and Sharif, Bonita}, ee = {https://doi.org/10.1145/3314111.3319812}, isbn = {978-1-4503-6709-7}, pages = {12:1-12:9}, publisher = {ACM}, title = {Space-Time Volume Visualization of Gaze and Stimulus}, url = {https://doi.org/10.1145/3314111.3319812}, year = 2019 }
  Link
  https://doi.org/10.1145/3314111.3319812
8. Netzel, Rudolf ; Rodrigues, Nils ; Haug, Anja ; Weiskopf, Daniel: Compensation of Simultaneous Orientation Contrast in Superimposed Textures. In: Kerren, A. ; Hurter, C. ; Braz, J. (Hrsg.) ; Kerren, A. ; Hurter, C. ; Braz, J. (Hrsg.): Proceedings of the Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), Proceedings of the Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP). Bd. 3: IVAPP : SciTePress, 2019 — ISBN 978-989-758-354-4, S. 48–57
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  @inproceedings{conf/grapp/NetzelRHW19, author = {Netzel, Rudolf and Rodrigues, Nils and Haug, Anja and Weiskopf, Daniel}, booktitle = {Proceedings of the Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)}, doi = {10.5220/0007356800480057}, editor = {Kerren, Andreas and Hurter, Christophe and Braz, José}, ee = {https://doi.org/10.5220/0007356800480057}, isbn = {978-989-758-354-4}, pages = {48-57}, publisher = {SciTePress}, title = {Compensation of Simultaneous Orientation Contrast in Superimposed Textures}, url = {http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007356800480057}, volume = {3: IVAPP}, year = 2019 }
  Link
  http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007356800480057
9. Schulz, Christoph ; Rodrigues, Nils ; Amann, Marco ; Baumgartner, Daniel ; Mielke, Arman ; Baumann, Christian ; Sedlmair, Michael ; Weiskopf, Daniel: A Framework for Pervasive Visual Deficiency Simulation. In: Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019, S. 1852–1857
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  @inproceedings{schulz2019framework, abstract = {We present a framework for rapid prototyping of pervasive visual deficiency simulation in the context of graphical interfaces, virtual reality, and augmented reality. Our framework facilitates the emulation of various visual deficiencies for a wide range of applications, which allows users with normal vision to experience combinations of conditions such as myopia, hyperopia, presbyopia, cataract, nyctalopia, protanopia, deuteranopia, tritanopia, and achromatopsia. Our framework provides an infrastructure to encourage researchers to evaluate visualization and other display techniques regarding visual deficiencies, and opens up the field of visual disease simulation to a broader audience. The benefits of our framework are easy integration, configuration, fast prototyping, and portability to new emerging hardware. To demonstrate the applicability of our framework, we showcase a desktop application and an Android application that transform commodity hardware into glasses for visual deficiency simulation. We expect that this work promotes a greater understanding of visual impairments, leads to better product design for the visually impaired, and forms a basis for research to compensate for these impairments as everyday help}, author = {Schulz, Christoph and Rodrigues, Nils and Amann, Marco and Baumgartner, Daniel and Mielke, Arman and Baumann, Christian and Sedlmair, Michael and Weiskopf, Daniel}, booktitle = {Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces (VR)}, doi = {10.1109/VR44988.2019.9044164}, pages = {1852-1857}, title = {A Framework for Pervasive Visual Deficiency Simulation}, url = {https://ieeexplore.ieee.org/document/9044164}, year = 2019 }
  Link
  https://ieeexplore.ieee.org/document/9044164
10. Silva, Nelson ; Blascheck, Tanja ; Jianu, Radu ; Rodrigues, Nils ; Weiskopf, Daniel ; Raubal, Martin ; Schreck, Tobias: Eye Tracking Support for Visual Analytics Systems: Foundations, Current Applications, and Research Challenges. In: Krejtz, K. ; Sharif, B. (Hrsg.) ; Krejtz, K. ; Sharif, B. (Hrsg.): Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA) : ACM, 2019 — ISBN 978-1-4503-6709-7, S. 11:1-11:9
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  @inproceedings{conf/etra/SilvaBJRWRS19, abstract = {Visual analytics (VA) research provides helpful solutions for interactive visual data analysis when exploring large and complex datasets. Due to recent advances in eye tracking technology, promising opportunities arise to extend these traditional VA approaches. Therefore, we discuss foundations for eye tracking support in VA systems. We first review and discuss the structure and range of typical VA systems. Based on a widely used VA model, we present five comprehensive examples that cover a wide range of usage scenarios. Then, we demonstrate that the VA model can be used to systematically explore how concrete VA systems could be extended with eye tracking, to create supportive and adaptive analytics systems. This allows us to identify general research and application opportunities, and classify them into research themes. In a call for action, we map the road for future research to broaden the use of eye tracking and advance visual analytics.}, author = {Silva, Nelson and Blascheck, Tanja and Jianu, Radu and Rodrigues, Nils and Weiskopf, Daniel and Raubal, Martin and Schreck, Tobias}, booktitle = {Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA)}, crossref = {conf/etra/2019}, doi = {10.1145/3314111.3319919}, editor = {Krejtz, Krzysztof and Sharif, Bonita}, ee = {https://doi.org/10.1145/3314111.3319919}, isbn = {978-1-4503-6709-7}, pages = {11:1-11:9}, publisher = {ACM}, title = {Eye Tracking Support for Visual Analytics Systems: Foundations, Current Applications, and Research Challenges}, url = {https://doi.org/10.1145/3314111.3319919}, year = 2019 }
  Link
  https://doi.org/10.1145/3314111.3319919
11. Reinhardt, Stefan ; Krake, Tim ; Eberhardt, Bernhard ; Weiskopf, Daniel: Consistent shepard interpolation for SPH-based fluid animation. In: ACM Trans. Graph., ACM Trans. Graph. Bd. 38, Association for Computing Machinery (ACM) (2019), Nr. 6, S. 189:1-189:11
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  @article{Reinhardt_2019, abstract = {We present a novel technique to correct errors introduced by the discretization of a fluid body when animating it with smoothed particle hydrodynamics (SPH). Our approach is based on the Shepard correction, which reduces the interpolation errors from irregularly spaced data. With Shepard correction, the smoothing kernel function is normalized using the weighted sum of the kernel function values in the neighborhood. To compute the correction factor, densities of neighboring particles are needed, which themselves are computed with the uncorrected kernel. This results in an inconsistent formulation and an error-prone correction of the kernel. As a consequence, the density computation may be inaccurate, thus the pressure forces are erroneous and may cause instabilities in the simulation process.We present a consistent formulation by using the corrected densities to compute the exact kernel correction factor and, thereby, increase the accuracy of the simulation. Employing our method, a smooth density distribution is achieved, i.e., the noise in the density field is reduced by orders of magnitude. To show that our method is independent of the SPH variant, we evaluate our technique on weakly compressible SPH and on divergence-free SPH. Incorporating the corrected density into the correction process, the problem cannot be stated explicitly anymore. We propose an efficient and easy-to-implement algorithm to solve the implicit problem by applying the power method. Additionally, we demonstrate how our model can be applied to improve the density distribution on rigid bodies when using a well-known rigid-fluid coupling approach.}, author = {Reinhardt, Stefan and Krake, Tim and Eberhardt, Bernhard and Weiskopf, Daniel}, doi = {10.1145/3355089.3356503}, issn = {0730-0301}, journal = {ACM Trans. Graph.}, month = nov, number = 6, pages = {189:1-189:11}, publisher = {Association for Computing Machinery ({ACM})}, title = {Consistent shepard interpolation for SPH-based fluid animation.}, url = {http://doi.acm.org/10.1145/3355089.3356503}, volume = 38, year = 2019 }
  Link
  http://doi.acm.org/10.1145/3355089.3356503
12. Zhou, Liang ; Netzel, Rudolf ; Weiskopf, Daniel ; Johnson, Chris R.: Spectral Visualization Sharpening. In: Neyret, S. ; Kokkinara, E. ; González-Franco, M. ; Hoyet, L. ; Cunningham, D. W. ; Swidrak, J. (Hrsg.) ; Neyret, S. ; Kokkinara, E. ; González-Franco, M. ; Hoyet, L. ; Cunningham, D. W. ; Swidrak, J. (Hrsg.): Proceedings of the ACM Symposium on Applied Perception (SAP), Proceedings of the ACM Symposium on Applied Perception (SAP) : ACM, 2019 — ISBN 978-1-4503-6890-2, S. 18:1-18:9
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  @inproceedings{conf/apgv/0001NWJ19, abstract = {In this paper, we propose a perceptually-guided visualization sharpening technique. We analyze the spectral behavior of an established comprehensive perceptual model to arrive at our approximated model based on an adapted weighting of the bandpass images from a Gaussian pyramid. The main benefit of this approximated model is its controllability and predictability for sharpening color-mapped visualizations. Our method can be integrated into any visualization tool as it adopts generic image-based post-processing, and it is intuitive and easy to use as viewing distance is the only parameter. Using highly diverse datasets, we show the usefulness of our method across a wide range of typical visualizations.}, author = {Zhou, Liang and Netzel, Rudolf and Weiskopf, Daniel and Johnson, Chris R.}, booktitle = {Proceedings of the ACM Symposium on Applied Perception (SAP)}, crossref = {conf/apgv/2019}, doi = {10.1145/3343036.3343133}, editor = {Neyret, Solène and Kokkinara, Elena and González-Franco, Mar and Hoyet, Ludovic and Cunningham, Douglas W. and Swidrak, Justyna}, ee = {https://doi.org/10.1145/3343036.3343133}, isbn = {978-1-4503-6890-2}, pages = {18:1-18:9}, publisher = {ACM}, title = {Spectral Visualization Sharpening.}, url = {https://doi.org/10.1145/3343036.3343133}, year = 2019 }
  Link
  https://doi.org/10.1145/3343036.3343133
13. Bruder, Valentin ; Lahmar, Houssem Ben ; Hlawatsch, Marcel ; Frey, Steffen ; Burch, Michael ; Weiskopf, Daniel ; Herschel, Melanie ; Ertl, Thomas: Volume-Based Large Dynamic Graph Analysis Supported by Evolution Provenance. In: Multimedia Tools and Applications, Multimedia Tools and Applications. Bd. 78 (2019), Nr. 23, S. 32939–32965
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  @article{journals/mta/BruderLHFBWHE19, abstract = {We present an approach for the visualization and interactive analysis of dynamic graphs that contain a large number of time steps. A specific focus is put on the support of analyzing temporal aspects in the data. Central to our approach is a static, volumetric representation of the dynamic graph based on the concept of space-time cubes that we create by stacking the adjacency matrices of all time steps. The use of GPU-accelerated volume rendering techniques allows us to render this representation interactively. We identified four classes of analytics methods as being important for the analysis of large and complex graph data, which we discuss in detail: data views, aggregation and filtering, comparison, and evolution provenance. Implementations of the respective methods are presented in an integrated application, enabling interactive exploration and analysis of large graphs. We demonstrate the applicability, usefulness, and scalability of our approach by presenting two examples for analyzing dynamic graphs. Furthermore, we let visualization experts evaluate our analytics approach.}, author = {Bruder, Valentin and Lahmar, Houssem Ben and Hlawatsch, Marcel and Frey, Steffen and Burch, Michael and Weiskopf, Daniel and Herschel, Melanie and Ertl, Thomas}, doi = {10.1007/s11042-019-07878-6}, ee = {https://doi.org/10.1007/s11042-019-07878-6}, journal = {Multimedia Tools and Applications}, number = 23, pages = {32939-32965}, title = {Volume-Based Large Dynamic Graph Analysis Supported by Evolution Provenance}, url = {https://doi.org/10.1007/s11042-019-07878-6}, volume = 78, year = 2019 }
  Link
  https://doi.org/10.1007/s11042-019-07878-6
14. Zhou, Liang ; Weiskopf, Daniel: Multivariate Visualization of Particle Data. In: The European Physical Journal (Special Topics), The European Physical Journal (Special Topics). Bd. 227: Particle Methods in Natural Science and Engineering (2019), Nr. 14, S. 1741--1756
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  @article{zhou2019multivariate, author = {Zhou, Liang and Weiskopf, Daniel}, journal = {The European Physical Journal (Special Topics)}, number = 14, pages = {1741--1756}, title = {Multivariate Visualization of Particle Data.}, volume = {227: Particle Methods in Natural Science and Engineering}, year = 2019 }
2018
1. Görtler, Jochen ; Schulz, Christoph ; Deussen, Oliver ; Weiskopf, Daniel: Bubble Treemaps for Uncertainty Visualization. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 24 (2018), Nr. 1, S. 719–728
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  @article{Goertler2018Bubble, abstract = {We present a novel type of circular treemap, where we intentionally allocate extra space for additional visual variables. With this extended visual design space, we encode hierarchically structured data along with their uncertainties in a combined diagram. We introduce a hierarchical and force-based circle-packing algorithm to compute Bubble Treemaps, where each node is visualized using nested contour arcs. Bubble Treemaps do not require any color or shading, which offers additional design choices. We explore uncertainty visualization as an application of our treemaps using standard error and Monte Carlo-based statistical models. To this end, we discuss how uncertainty propagates within hierarchies. Furthermore, we show the effectiveness of our visualization using three different examples: the package structure of Flare, the S&P 500 index, and the US consumer expenditure survey}, author = {Görtler, Jochen and Schulz, Christoph and Deussen, Oliver and Weiskopf, Daniel}, doi = {10.1109/TVCG.2017.2743959}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = 1, pages = {719-728}, title = {Bubble Treemaps for Uncertainty Visualization}, url = {http://dx.doi.org/10.1109/TVCG.2017.2743959}, volume = 24, year = 2018 }
  Link
  http://dx.doi.org/10.1109/TVCG.2017.2743959
2. Müller, Christoph ; Krone, Michael ; Huber, Markus ; Biener, Verena ; Herr, Dominik ; Koch, Steffen ; Reina, Guido ; Weiskopf, Daniel ; u. a.: Interactive Molecular Graphics for Augmented Reality Using HoloLens. In: Schreiber, F. ; Hofestädt, R. (Hrsg.) Journal of Integrative Bioinformatics, Journal of Integrative Bioinformatics. (2018)
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  @article{mueller2018interactive, author = {Müller, Christoph and Krone, Michael and Huber, Markus and Biener, Verena and Herr, Dominik and Koch, Steffen and Reina, Guido and Weiskopf, Daniel and Ertl, Thomas}, doi = {10.1515/jib-2018-0005}, editor = {Schreiber, Falk and Hofestädt, Ralf}, journal = {Journal of Integrative Bioinformatics}, title = {Interactive Molecular Graphics for Augmented Reality Using HoloLens}, year = 2018 }
3. Goertler, Jochen ; Schulz, Christoph ; Deussen, Oliver ; Weiskopf, Daniel: Bubble Treemaps for Uncertainty Visualization. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. (2018)
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  @article{Goertler2018Bubble, author = {Goertler, Jochen and Schulz, Christoph and Deussen, Oliver and Weiskopf, Daniel}, journal = {IEEE Transactions on Visualization and Computer Graphics}, privnote = {uid:2408}, title = {Bubble Treemaps for Uncertainty Visualization}, url = {http://dx.doi.org/10.1109/TVCG.2017.2743959}, year = 2018 }
  Link
  http://dx.doi.org/10.1109/TVCG.2017.2743959
4. Schulz, Christoph ; Schatz, Karsten ; Krone, Michael ; Braun, Matthias ; Ertl, Thomas ; Weiskopf, Daniel: Uncertainty Visualization for Secondary Structures of Proteins. In: Proceedings of the IEEE Pacific Visualization Symposium (PacificVis), Proceedings of the IEEE Pacific Visualization Symposium (PacificVis) : IEEE, 2018, S. 96–105
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  @inproceedings{Schulz2018Uncertainty, abstract = {We present a technique that conveys the uncertainty in the secondary structure of proteins-an abstraction model based on atomic coordinates. While protein data inherently contains uncertainty due to the acquisition method or the simulation algorithm, we argue that it is also worth investigating uncertainty induced by analysis algorithms that precede visualization. Our technique helps researchers investigate differences between multiple secondary structure assignment methods. We modify established algorithms for fuzzy classification and introduce a discrepancy-based approach to project an ensemble of sequences to a single importance-weighted sequence. In 2D, we depict the aggregated secondary structure assignments based on the per-residue deviation in a collapsible sequence diagram. In 3D, we extend the ribbon diagram using visual variables such as transparency, wave form, frequency, or amplitude to facilitate qualitative analysis of uncertainty. We evaluated the effectiveness and acceptance of our technique through expert reviews using two example applications: the combined assignment against established algorithms and time-dependent structural changes originating from simulated protein dynamics.}, author = {Schulz, Christoph and Schatz, Karsten and Krone, Michael and Braun, Matthias and Ertl, Thomas and Weiskopf, Daniel}, booktitle = {Proceedings of the IEEE Pacific Visualization Symposium (PacificVis)}, doi = {10.1109/PacificVis.2018.00020}, pages = {96-105}, publisher = {IEEE}, title = {Uncertainty Visualization for Secondary Structures of Proteins}, url = {https://ieeexplore.ieee.org/document/8365980}, year = 2018 }
  Link
  https://ieeexplore.ieee.org/document/8365980
5. Rodrigues, Nils ; Weiskopf, Daniel: Nonlinear Dot Plots. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 24 (2018), Nr. 1, S. 616–625
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  @article{888e7816f6314cbeb56a29b239b290f7, abstract = {Conventional dot plots use a constant dot size and are typically applied to show the frequency distribution of small data sets. Unfortunately, they are not designed for a high dynamic range of frequencies. We address this problem by introducing nonlinear dot plots. Adopting the idea of nonlinear scaling from logarithmic bar charts, our plots allow for dots of varying size so that columns with a large number of samples are reduced in height. For the construction of these diagrams, we introduce an efficient two-way sweep algorithm that leads to a dense and symmetrical layout. We compensate aliasing artifacts at high dot densities by a specifically designed low-pass filtering method. Examples of nonlinear dot plots are compared to conventional dot plots as well as linear and logarithmic histograms. Finally, we include feedback from an expert review.}, author = {Rodrigues, Nils and Weiskopf, Daniel}, doi = {10.1109/TVCG.2017.2744018}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = 1, pages = {616-625}, title = {Nonlinear Dot Plots}, url = {http://dx.doi.org/10.1109/TVCG.2017.2744018}, volume = 24, year = 2018 }
  Link
  http://dx.doi.org/10.1109/TVCG.2017.2744018
6. Bruder, Valentin ; Hlawatsch, Marcel ; Frey, Steffen ; Burch, Michael ; Weiskopf, Daniel ; Ertl, Thomas: Volume-Based Large Dynamic Graph Analytics. In: Banissi, E. ; Francese, R. ; Bannatyne, M. W. McK. ; Wyeld, T. G. ; Sarfraz, M. ; Pires, J. M. ; Ursyn, A. ; Bouali, F. ; u. a. (Hrsg.) ; Banissi, E. ; Francese, R. ; Bannatyne, M. W. McK. ; Wyeld, T. G. ; Sarfraz, M. ; Pires, J. M. ; Ursyn, A. ; Bouali, F. ; u. a. (Hrsg.): Proceedings of the International Conference Information Visualisation (IV), Proceedings of the International Conference Information Visualisation (IV) : IEEE, 2018 — ISBN 978-1-5386-7202-0, S. 210–219
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  @inproceedings{conf/iv/BruderHFBWE18, abstract = {We present an approach for interactively analyzing large dynamic graphs consisting of several thousand time steps with a particular focus on temporal aspects. we employ a static representation of the time-varying graph based on the concept of space-time cubes, i.e., we create a volumetric representation of the graph by stacking the adjacency matrices of each of its time steps. To achieve an efficient analysis of complex data, we discuss three classes of analytics methods of particular importance in this context: data views, aggregation and filtering, and comparison. For these classes, we present a GPU-based implementation of respective analysis methods that enable the interactive analysis of large graphs. We demonstrate the utility as well as the scalability of our approach by presenting application examples for analyzing different time-varying data sets.}, author = {Bruder, Valentin and Hlawatsch, Marcel and Frey, Steffen and Burch, Michael and Weiskopf, Daniel and Ertl, Thomas}, booktitle = {Proceedings of the International Conference Information Visualisation (IV)}, crossref = {conf/iv/2018}, doi = {10.1109/iV.2018.00045}, editor = {Banissi, Ebad and Francese, Rita and Bannatyne, Mark W. McK. and Wyeld, Theodor G. and Sarfraz, Muhammad and Pires, João Moura and Ursyn, Anna and Bouali, Fatma and Datia, Nuno and Venturini, Gilles and Polese, Giuseppe and Deufemia, Vincenzo and Mascio, Tania Di and Temperini, Marco and Sciarrone, Filippo and Malandrino, Delfina and Zaccagnino, Rocco and Díaz, Paloma and Papadopoulo, Fragkiskos and Anta, Antonio Fernández and Cuzzocrea, Alfredo and Risi, Michele and Erra, Ugo and Rossano, Veronica}, ee = {http://doi.ieeecomputersociety.org/10.1109/iV.2018.00045}, isbn = {978-1-5386-7202-0}, pages = {210-219}, publisher = {IEEE}, title = {Volume-Based Large Dynamic Graph Analytics}, url = {https://ieeexplore.ieee.org/document/8564163}, year = 2018 }
  Link
  https://ieeexplore.ieee.org/document/8564163
7. Schulz, Christoph ; Zeyfang, Adrian ; van Garderen, Mereke ; Ben Lahmar, Houssem ; Herschel, Melanie ; Weiskopf, Daniel: Simultaneous Visual Analysis of Multiple Software Hierarchies. In: Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT), Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT) : IEEE, 2018, S. 87–95
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  @inproceedings{Schulz2018Simultaneous, abstract = {We propose a tree visualization technique for comparison of structures and attributes across multiple hierarchies. Many software systems are structured hierarchically by design. For example, developers subdivide source code into libraries, modules, and functions. This design propagates to software configuration and business processes, rendering software hierarchies even more important. Often these structural elements are attributed with reference counts, code quality metrics, and the like. Throughout the entire software life cycle, these hierarchies are reviewed, integrated, debugged, and changed many times by different people so that the identity of a structural element and its attributes is not clearly traceable. We argue that pairwise comparison of similar trees is a tedious task due to the lack of overview, especially when applied to a large number of hierarchies. Therefore, we strive to visualize multiple similar trees as a whole by merging them into one supertree. To merge structures and combine attributes from different trees, we leverage the Jaccard similarity and solve a matching problem while keeping track of the origin of a structure element and its attributes. Our visualization approach allows users to inspect these supertrees using node-link diagrams and indented tree plots. The nodes in these plots depict aggregated attributes and, using word-sized line plots, detailed data. We demonstrate the usefulness of our method by exploring the evolution of software repositories and debugging data processing pipelines using provenance data.}, author = {Schulz, Christoph and Zeyfang, Adrian and van Garderen, Mereke and {Ben Lahmar}, Houssem and Herschel, Melanie and Weiskopf, Daniel}, booktitle = {Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT)}, doi = {10.1109/VISSOFT.2018.00017}, pages = {87-95}, publisher = {IEEE}, title = {Simultaneous Visual Analysis of Multiple Software Hierarchies}, url = {https://ieeexplore.ieee.org/document/8530134/}, year = 2018 }
  Link
  https://ieeexplore.ieee.org/document/8530134/
8. Rodrigues, Nils ; Netzel, Rudolf ; Spalink, Joachim ; Weiskopf, Daniel: Multiscale Scanpath Visualization and Filtering. In: Chuang, L. L. ; Burch, M. ; Kurzhals, K. (Hrsg.) ; Chuang, L. L. ; Burch, M. ; Kurzhals, K. (Hrsg.): Proceedings of the Symposium on Eye Tracking and Visualization (ETVIS), Proceedings of the Symposium on Eye Tracking and Visualization (ETVIS) : ACM, 2018, S. 2:1-2:5
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  @inproceedings{conf/etra/RodriguesNSW18, abstract = {The analysis of eye-tracking data can be very useful when evaluating controlled user studies. To support the analysis in a fast and easy fashion, we have developed a web-based framework for a visual inspection of eye-tracking data and a comparison of scanpaths based on filtering of fixations and similarity measures. Concerning the first part, we introduce a multiscale aggregation of fixations and saccades based on a spatial partitioning that reduces visual clutter of overlaid scanpaths without changing the overall impression of large-scale eye movements. The multiscale technique abstracts the individual scanpaths and allows an analyst to visually identify clusters or patterns inherent to the gaze data without the need for lengthy precomputations. For the second part, we introduce an approach where analysts can remove fixations from a pair of scanpaths in order to increase the similarity between them. This can be useful to discover and understand reasons for dissimilarity between scanpaths, data cleansing, and outlier detection. Our implementation uses the MultiMatch algorithm to predict similarities after the removal of individual fixations. Finally, we demonstrate the usefulness of our techniques in a use case with scanpaths that were recorded in a study with metro maps.}, author = {Rodrigues, Nils and Netzel, Rudolf and Spalink, Joachim and Weiskopf, Daniel}, booktitle = {Proceedings of the Symposium on Eye Tracking and Visualization (ETVIS)}, doi = {10.1145/3205929.3205931}, editor = {Chuang, Lewis L. and Burch, Michael and Kurzhals, Kuno}, ee = {https://doi.org/10.1145/3205929.3205931}, pages = {2:1-2:5}, publisher = {ACM}, title = {Multiscale Scanpath Visualization and Filtering}, url = {https://dl.acm.org/doi/10.1145/3205929.3205931}, year = 2018 }
  Link
  https://dl.acm.org/doi/10.1145/3205929.3205931
2017
1. Netzel, Rudolf ; Hlawatsch, Marcel ; Burch, Michael ; Balakrishnan, Sanjeev ; Schmauder, Hansjörg ; Weiskopf, Daniel: An Evaluation of Visual Search Support in Maps. In: IEEE (Hrsg.) IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 23 (2017), Nr. 1
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  @article{cee19e8b01594f79a9b592fbfcb1db2d, author = {Netzel, Rudolf and Hlawatsch, Marcel and Burch, Michael and Balakrishnan, Sanjeev and Schmauder, Hansjörg and Weiskopf, Daniel}, editor = {IEEE}, journal = { IEEE Transactions on Visualization and Computer Graphics}, number = 1, privnote = {uid:2327}, title = {An Evaluation of Visual Search Support in Maps}, url = {http://dx.doi.org/10.1109/TVCG.2016.2598898}, volume = 23, year = 2017 }
  Link
  http://dx.doi.org/10.1109/TVCG.2016.2598898
2. Kurzhals, Kuno ; Hlawatsch, Marcel ; Seeger, Christof ; Weiskopf, Daniel: Visual Analytics for Mobile Eye Tracking. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 23 (2017), Nr. 1
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  @article{91efa54ef17f4bbab662f394a586520f, author = {Kurzhals, Kuno and Hlawatsch, Marcel and Seeger, Christof and Weiskopf, Daniel}, journal = { IEEE Transactions on Visualization and Computer Graphics}, number = 1, privnote = {uid:2382}, title = {Visual Analytics for Mobile Eye Tracking}, url = {http://dx.doi.org/10.1109/TVCG.2016.2598695}, volume = 23, year = 2017 }
  Link
  http://dx.doi.org/10.1109/TVCG.2016.2598695
3. Zhou, Liang ; Weiskopf, Daniel: Indexed-Points Parallel Coordinates Visualization of Multivariate Correlations. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 24 (2017), Nr. 6, S. 1997–2010
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  @article{cd22552d34e84f5581469806ce70e00d, author = {Zhou, Liang and Weiskopf, Daniel}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = 6, pages = {1997-2010}, title = {Indexed-Points Parallel Coordinates Visualization of Multivariate Correlations}, url = {http://dx.doi.org/10.1109/TVCG.2017.2698041}, volume = 24, year = 2017 }
  Link
  http://dx.doi.org/10.1109/TVCG.2017.2698041
4. Blascheck, Tanja ; Kurzhals, Kuno ; Raschke, Michael ; Burch, Michael ; Weiskopf, Daniel ; Ertl, Thomas: Visualization of Eye Tracking Data: A Taxonomy and Survey. In: Computer Graphics Forum, Computer Graphics Forum. (2017)
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  BibTeX
  @article{13482de5dc6345f782fced6978f08197, author = {Blascheck, Tanja and Kurzhals, Kuno and Raschke, Michael and Burch, Michael and Weiskopf, Daniel and Ertl, Thomas}, journal = {Computer Graphics Forum}, privnote = {uid:2367}, title = {Visualization of Eye Tracking Data: A Taxonomy and Survey}, url = {http://dx.doi.org/DOI: 10.1111/cgf.13079}, year = 2017 }
  Link
  http://dx.doi.org/DOI: 10.1111/cgf.13079
5. Kurzhals, Kuno ; Çetinkaya, Emine ; Hu, Yongtao ; Wang, Wenping ; Weiskopf, Daniel: Close to the Action: Eye-tracking Evaluation of Speaker-following Subtitles. In: ACM (Hrsg.) ; ACM (Hrsg.): Proceedings of the CHI Conference on Human Factors in Computing Systems, Proceedings of the CHI Conference on Human Factors in Computing Systems, 2017, S. 6559–6568
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  BibTeX
  @inproceedings{2ef4024423b04da094a66b42aec94e6f, abstract = {The incorporation of subtitles in multimedia content plays an important role in communicating spoken content. For example, subtitles in the respective language are often preferred to expensive audio translation of foreign movies. The traditional representation of subtitles displays text centered at the bottom of the screen. This layout can lead to large distances between text and relevant image content, causing eye strain and even that we miss visual content. As a recent alternative, the technique of speaker-following subtitles places subtitle text in speech bubbles close to the current speaker. We conducted a controlled eye-tracking laboratory study (n = 40) to compare the regular approach (center-bottom subtitles) with content-sensitive, speaker-following subtitles. We compared different dialog-heavy video clips with the two layouts. Our results show that speaker-following subtitles lead to higher fixation counts on relevant image regions and reduce saccade length, which is an important factor for eye strain.}, author = {Kurzhals, Kuno and Çetinkaya, Emine and Hu, Yongtao and Wang, Wenping and Weiskopf, Daniel}, booktitle = {Proceedings of the CHI Conference on Human Factors in Computing Systems}, doi = {https://doi.org/10.1145/3025453.3025772}, editor = {ACM}, pages = {6559-6568}, title = {Close to the Action: Eye-tracking Evaluation of Speaker-following Subtitles}, url = {https://dl.acm.org/doi/10.1145/3025453.3025772}, year = 2017 }
  Link
  https://dl.acm.org/doi/10.1145/3025453.3025772
6. Reinhardt, Stefan ; Huber, Markus ; Dumitrescu, Otilia ; Krone, Michael ; Eberhardt, Bernhard ; Weiskopf, Daniel: Visual Debugging of SPH Simulations. In: International Conference on Information Visualisation (IV), International Conference on Information Visualisation (IV). Bd. 21, 2017, S. 117–126
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  BibTeX
  @inproceedings{reinhardtsphiv2017, author = {Reinhardt, Stefan and Huber, Markus and Dumitrescu, Otilia and Krone, Michael and Eberhardt, Bernhard and Weiskopf, Daniel}, booktitle = {International Conference on Information Visualisation (IV)}, pages = {117-126}, title = {Visual Debugging of SPH Simulations}, url = {http://dx.doi.org/10.1109/iV.2017.20}, volume = 21, year = 2017 }
  Link
  http://dx.doi.org/10.1109/iV.2017.20
7. Reinhardt, Stefan ; Huber, Markus ; Eberhardt, Bernhard ; Weiskopf, Daniel: Fully Asynchronous SPH Simulation. In: Association, T. E. (Hrsg.) ; Association, T. E. (Hrsg.): Eurographics/ACM SIGGRAPH Symposium on Computer Animation, Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2017
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  BibTeX
  @inproceedings{9565d2270df14a41a43e2a5a1f8ba849, author = {Reinhardt, Stefan and Huber, Markus and Eberhardt, Bernhard and Weiskopf, Daniel}, booktitle = {Eurographics/ACM SIGGRAPH Symposium on Computer Animation}, editor = {Association, The Eurographics}, privnote = {uid:2388}, title = {Fully Asynchronous SPH Simulation}, url = {http://dx.doi.org/10.1145/3099564.3099571}, year = 2017 }
  Link
  http://dx.doi.org/10.1145/3099564.3099571
8. Schulz, Christoph ; Nocaj, Arlind ; Goertler, Jochen ; Deussen, Oliver ; Brandes, Ulrik ; Weiskopf, Daniel: Probabilistic Graph Layout for Uncertain Network Visualization. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 23 (2017), Nr. 1
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  BibTeX
  @article{Schulz2016ProbabilisticGraphLayout, author = {Schulz, Christoph and Nocaj, Arlind and Goertler, Jochen and Deussen, Oliver and Brandes, Ulrik and Weiskopf, Daniel}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = 1, privnote = {uid:2281}, title = {Probabilistic Graph Layout for Uncertain Network Visualization}, url = {http://dx.doi.org/10.1109/TVCG.2016.2598919}, volume = 23, year = 2017 }
  Link
  http://dx.doi.org/10.1109/TVCG.2016.2598919
9. Srulijes, Karin ; Schulz, Christoph ; Mack, David J. ; Jarosch, Rafael ; Klenk, Jochen ; Schwickert, Lars ; Schwenk, Michael ; Maetzler, Walter ; u. a.: Visualization of Eye-Head Coordination While Walking in Healthy Subjects and Patients with Neurodegenerative Diseases. In: Poster (reviewed) presented on Symposium of the International Society of Posture and Gait Research (ISPGR), Poster (reviewed) presented on Symposium of the International Society of Posture and Gait Research (ISPGR). (2017)
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  BibTeX
  @article{srulijes2017visualization, author = {Srulijes, Karin and Schulz, Christoph and Mack, David J. and Jarosch, Rafael and Klenk, Jochen and Schwickert, Lars and Schwenk, Michael and Maetzler, Walter and Weiskopf, Daniel and Becker, Clemens}, booktitle = {Poster (reviewed) presented on Symposium of the International Society of Posture and Gait Research (ISPGR)}, eventtitle = {Symposium of the International Society of Posture and Gait Research (ISPGR)}, title = {Visualization of Eye-Head Coordination While Walking in Healthy Subjects and Patients with Neurodegenerative Diseases}, year = 2017 }
10. Sacha, Dominik ; Zhang, Leishi ; Sedlmair, Michael ; Lee, John A. ; Peltonen, Jaakko ; Weiskopf, Daniel ; North, Stephen C. ; Keim, Daniel A.: Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 23 (2017), Nr. 1, S. 241–250
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  BibTeX
  @article{sacha2017visual, affiliation = {Sacha, D (Reprint Author), Univ Konstanz, Constance, Germany. Sacha, Dominik; Keim, Daniel A., Univ Konstanz, Constance, Germany. Zhang, Leishi, Middlesex Univ, London N17 8HR, England. Sedlmair, Michael, Univ Vienna, A-1010 Vienna, Austria. Lee, John A., Catholic Univ Louvain, ISSS, IREC, MIRO, Louvain, Belgium. Lee, John A., Belgian FRS FNRS, Brussels, Belgium. Peltonen, Jaakko, Aalto Univ, Helsinki Inst Informat Technol, Espoo, Finland. Peltonen, Jaakko, Univ Tampere, Tampere, Finland. Weiskopf, Daniel, Univ Stuttgart, VISUS, Stuttgart, Germany. North, Stephen C., Infovisible LLC, Oldwick, NJ USA.}, author = {Sacha, Dominik and Zhang, Leishi and Sedlmair, Michael and Lee, John A. and Peltonen, Jaakko and Weiskopf, Daniel and North, Stephen C. and Keim, Daniel A.}, da = {2018-08-07}, doi = {10.1109/TVCG.2016.2598495}, eissn = {1941-0506}, issn = {1077-2626}, journal = {IEEE Transactions on Visualization and Computer Graphics}, language = {English}, number = 1, pages = {241-250}, research-areas = {Computer Science}, title = {Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis}, unique-id = {ISI:000395537600027}, volume = 23, year = 2017 }
11. Beck, Fabian ; Blascheck, Tanja ; Ertl, Thomas ; Weiskopf, Daniel: Word-Sized Eye Tracking Visualizations. In: Burch, M. ; Chuang, L. ; Fisher, B. ; Schmidt, A. ; Weiskopf, D. (Hrsg.) ; Burch, M. ; Chuang, L. ; Fisher, B. ; Schmidt, A. ; Weiskopf, D. (Hrsg.): Eye Tracking and Visualization: Foundations, Techniques, and Applications. ETVIS 2015, Eye Tracking and Visualization: Foundations, Techniques, and Applications. ETVIS 2015 : Springer, 2017
  - BibTeX
  BibTeX
  @inbook{ad6c5954be51477ab9df8cc1912fbdc3, author = {Beck, Fabian and Blascheck, Tanja and Ertl, Thomas and Weiskopf, Daniel}, booktitle = {Eye Tracking and Visualization: Foundations, Techniques, and Applications. ETVIS 2015}, editor = {Burch, Michael and Chuang, Lewis and Fisher, Brian and Schmidt, Albrecht and Weiskopf, Daniel}, privnote = {uid:2227}, publisher = {Springer}, title = {Word-Sized Eye Tracking Visualizations}, year = 2017 }
12. Kurzhals, Kuno ; Stoll, Michael ; Bruhn, Andrés ; Weiskopf, Daniel: FlowBrush: Optical Flow Art. In: Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering (EXPRESSIVE, co-located with SIGGRAPH)., Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering (EXPRESSIVE, co-located with SIGGRAPH)., 2017, S. 1:1-1:9
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  BibTeX
  @inproceedings{2bad9342c3f945cb9d85414321e0e374, abstract = {The depiction of motion in static representations has a long tradition in art and science alike. Often, motion is depicted by spatio-temporal summarizations that try to preserve as much information of the original dynamic content as possible. In our approach to depicting motion, we remove the spatial constraints and generate new content steered by the temporal changes in motion. Applying particle steering in combination with the dynamic color palette of the video content, we can create a wide range of different image styles. With recorded videos, or by live interaction with a webcam, one can influence the resulting image. We provide a set of intuitive parameters to affect the style of the result, the final image content depends on the video input. Based on a collection of results gathered from test users, we discuss example styles that can be achieved with FlowBrush. In general, our approach provides an open sandbox for creative people to generate aesthetic images from any video content they apply.}, author = {Kurzhals, Kuno and Stoll, Michael and Bruhn, Andrés and Weiskopf, Daniel}, booktitle = {Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering (EXPRESSIVE, co-located with SIGGRAPH).}, doi = {10.1145/3092912.3092914}, pages = {1:1-1:9}, title = {FlowBrush: Optical Flow Art}, url = {https://dl.acm.org/doi/10.1145/3092912.3092914}, year = 2017 }
  Link
  https://dl.acm.org/doi/10.1145/3092912.3092914
13. Huber, Markus ; Eberhardt, Bernhard ; Weiskopf, Daniel: Cloth Animation Retrieval Using a Motion-shape Signature. In: IEEE Computer Graphics and Applications, IEEE Computer Graphics and Applications. (2017)
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  @article{02c10d98873742bd8244ae591709b489, author = {Huber, Markus and Eberhardt, Bernhard and Weiskopf, Daniel}, journal = {IEEE Computer Graphics and Applications}, privnote = {uid:2410}, title = {Cloth Animation Retrieval Using a Motion-shape Signature}, year = 2017 }
14. Rodrigues, Nils ; Netzel, Rudolf ; Ullah, Kazi Riaz ; Burch, Michael ; Schultz, Alexander ; Burger, Bruno ; Weiskopf, Daniel: Visualization of Time Series Data with Spatial Context: Communicating the Energy Production of Power Plants. In: Proceedings of the ACM Symposium on Visual Information Communication and Interaction (VINCI), Proceedings of the ACM Symposium on Visual Information Communication and Interaction (VINCI), 2017, S. 37–44
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  BibTeX
  @inproceedings{508aec6171ff4459a91346c2fa5f8214, abstract = {Visualizing time series data with a spatial context is a problem that appears more and more often, since small and lightweight GPS devices allow us to enrich the time series data with position information. One example is the visualization of the energy output of power plants. We present a web-based application that aims to provide information about the energy production of a specified region, along with location information about the power plants. The application is intended to be used as a solid data basis for political discussions, nudging, and story telling about the German energy transition to renewables, called "Energiewende". It was therefore designed to be intuitive, easy to use, and provide information for a broad spectrum of users that do not need any domain-specific knowledge. Users are able to select different categories of power plants and look up their positions on an overview map. Glyphs indicate their exact positions and a selection mechanism allows users to compare the power output on different time scales using stacked area charts or ThemeRivers. As an evaluation of the application, we have collected web access statistics and conducted an online survey with respect to the intuitiveness, usability, and informativeness.}, author = {Rodrigues, Nils and Netzel, Rudolf and Ullah, Kazi Riaz and Burch, Michael and Schultz, Alexander and Burger, Bruno and Weiskopf, Daniel}, booktitle = {Proceedings of the ACM Symposium on Visual Information Communication and Interaction (VINCI)}, doi = {https://doi.org/10.1145/3105971.3105982}, pages = {37-44}, title = {Visualization of Time Series Data with Spatial Context: Communicating the Energy Production of Power Plants}, url = {https://dl.acm.org/doi/10.1145/3105971.3105982}, year = 2017 }
  Link
  https://dl.acm.org/doi/10.1145/3105971.3105982
15. Rodrigues, Nils ; Weiskopf, Daniel: Nonlinear Dot Plots. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 2018 (2017)
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  BibTeX
  @article{9ff15069de89495e99cdd4cef875aa1a, author = {Rodrigues, Nils and Weiskopf, Daniel}, journal = {IEEE Transactions on Visualization and Computer Graphics}, privnote = {uid:2406}, title = {Nonlinear Dot Plots}, url = {http://dx.doi.org/10.1109/TVCG.2017.2744018}, volume = 2018, year = 2017 }
  Link
  http://dx.doi.org/10.1109/TVCG.2017.2744018
16. Rodrigues, Nils ; Burch, Michael ; Di Silvestro, Lorenzo ; Weiskopf, Daniel: A Visual Analytics Approach for Word Relevances in Multiple Texts. In: Proceedings of the International Conference on Information Visualisation (IV), Proceedings of the International Conference on Information Visualisation (IV) : IEEE, 2017, S. 1–7
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  @inproceedings{rodrigues2017vaforwordrelevances, abstract = {We investigate the problem of analyzing word frequencies in multiple text sources with the aim to give an overview of word-based similarities in several texts as a starting point for further analysis. To reach this goal, we designed a visual analytics approach composed of typical stages and processes, combining algorithmic analysis, visualization techniques, the human users with their perceptual abilities, as well as interaction methods for both the data analysis and the visualization component. By our algorithmic analysis, we first generate a multivariate dataset where words build the cases and the individual text sources the attributes. Real-valued relevances express the significances of each word in each of the text sources. From the visualization perspective, we describe how this multivariate dataset can be visualized to generate, confirm, rebuild, refine, or reject hypotheses with the goal to derive meaning, knowledge, and insights from several text sources. We discuss benefits and drawbacks of the visualization approaches when analyzing word relevances in multiple texts.}, author = {Rodrigues, Nils and Burch, Michael and Di Silvestro, Lorenzo and Weiskopf, Daniel}, booktitle = {Proceedings of the International Conference on Information Visualisation (IV)}, doi = {10.1109/iV.2017.62}, pages = {1-7}, publisher = {IEEE}, title = {A Visual Analytics Approach for Word Relevances in Multiple Texts}, url = {https://ieeexplore.ieee.org/document/8107940}, year = 2017 }
  Link
  https://ieeexplore.ieee.org/document/8107940
17. Gralka, Patrick ; Schulz, Christoph ; Reina, Guido ; Weiskopf, Daniel ; Ertl, Thomas: Visual Exploration of Memory Traces and Call Stacks. In: Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT), Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT) : IEEE, 2017, S. 54–63
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  @inproceedings{Gralka2017Visual, abstract = {Analysis of software performance typically takes into account clock cycles and memory consumption at each sampling point in time. Although this is a valid strategy, we argue that it is also worth investigating data and control flow structures, as observed using memory traces and call stacks, because of their importance for performance engineering. In this work, we present a visual approach to memory profiling that supports analysis of memory layout, access patterns, and aliasing in correlation to program execution. Our method leverages language-agnostic dynamic code instrumentation to minimize the impact of tracing on performance, i.e., the application remains usable on commodity hardware. The profiled data is then clustered and visualized using a density-based scatter plot. If debug symbols are available, the scatter plot is augmented by a flame graph to ease linking to the high-level source code. Our visualization helps software engineers to identify runtime behavior by relating memory addresses to instruction execution. We demonstrate our approach using a set of examples revealing different memory access patterns and discuss their influence on software performance.}, author = {Gralka, Patrick and Schulz, Christoph and Reina, Guido and Weiskopf, Daniel and Ertl, Thomas}, booktitle = {Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT)}, doi = {10.1109/VISSOFT.2017.15}, pages = {54-63}, publisher = {IEEE}, title = {Visual Exploration of Memory Traces and Call Stacks}, url = {https://dx.doi.org/10.1109/VISSOFT.2017.15}, year = 2017 }
  Link
  https://dx.doi.org/10.1109/VISSOFT.2017.15
18. Netzel, Rudolf ; Vuong, Jenny ; Engelke, Ulrich ; O’Donoghue, Seán I. ; Weiskopf, Daniel ; Heinrich, Julian: Comparative Eye-tracking Evaluation of Scatterplots and Parallel Coordinates. In: Visual Informatics, Visual Informatics. Bd. 1 (2017), Nr. 2, S. 118–131
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  BibTeX
  @article{journals/vi/NetzelVEOWH17, abstract = {We investigate task performance and reading characteristics for scatterplots (Cartesian coordinates) and parallel coordinates. In a controlled eye-tracking study, we asked 24 participants to assess the relative distance of points in multidimensional space, depending on the diagram type (parallel coordinates or a horizontal collection of scatterplots), the number of data dimensions (2, 4, 6, or 8), and the relative distance between points (15%, 20%, or 25%). For a given reference point and two target points, we instructed participants to choose the target point that was closer to the reference point in multidimensional space. We present a visual scanning model that describes different strategies to solve this retrieval task for both diagram types, and propose corresponding hypotheses that we test using task completion time, accuracy, and gaze positions as dependent variables. Our results show that scatterplots outperform parallel coordinates significantly in 2 dimensions, however, the task was solved more quickly and more accurately with parallel coordinates in 8 dimensions. The eye-tracking data further shows significant differences between Cartesian and parallel coordinates, as well as between different numbers of dimensions. For parallel coordinates, there is a clear trend toward shorter fixations and longer saccades with increasing number of dimensions. Using an area-of-interest (AOI) based approach, we identify different reading strategies for each diagram type: For parallel coordinates, the participants’ gaze frequently jumped back and forth between pairs of axes, while axes were rarely focused on when viewing Cartesian coordinates. We further found that participants’ attention is biased: toward the center of the whole plotfor parallel coordinates and skewed to the center/left side for Cartesian coordinates. We anticipate that these results may support the design of more effective visualizations for multidimensional data.}, author = {Netzel, Rudolf and Vuong, Jenny and Engelke, Ulrich and O'Donoghue, Seán I. and Weiskopf, Daniel and Heinrich, Julian}, doi = {10.1016/j.visinf.2017.11.001}, ee = {https://doi.org/10.1016/j.visinf.2017.11.001}, journal = {Visual Informatics}, number = 2, pages = {118-131}, title = {Comparative Eye-tracking Evaluation of Scatterplots and Parallel Coordinates}, url = {https://doi.org/10.1016/j.visinf.2017.11.001}, volume = 1, year = 2017 }
  Link
  https://doi.org/10.1016/j.visinf.2017.11.001
19. Burch, Michael ; Hlawatsch, Marcel ; Weiskopf, Daniel: Visualizing a Sequence of a Thousand Graphs (or Even More). In: Computer Graphics Forum, Computer Graphics Forum. Bd. 36 (2017), Nr. 3
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  @article{Burch17Eurovis, author = {Burch, Michael and Hlawatsch, Marcel and Weiskopf, Daniel}, journal = {Computer Graphics Forum}, number = 3, privnote = {uid:2384}, title = {Visualizing a Sequence of a Thousand Graphs (or Even More)}, url = {http://dx.doi.org/10.1111/cgf.13185}, volume = 36, year = 2017 }
  Link
  http://dx.doi.org/10.1111/cgf.13185
20. Kratt, Julian ; Eisenkeil, Ferdinand ; Spicker, Marc ; Wang, Yunhai ; Weiskopf, Daniel ; Deussen, Oliver: Structure-aware Stylization of Mountainous Terrains. In: Hullin, M. ; Klein, R. ; Schultz, T. ; Yao, A. (Hrsg.) ; Hullin, M. ; Klein, R. ; Schultz, T. ; Yao, A. (Hrsg.): Vision, Modeling & Visualization, Vision, Modeling & Visualization : The Eurographics Association, 2017 — ISBN 978-3-03868-049-9
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  BibTeX
  @inbook{vmv.20171255, author = {Kratt, Julian and Eisenkeil, Ferdinand and Spicker, Marc and Wang, Yunhai and Weiskopf, Daniel and Deussen, Oliver}, booktitle = {Vision, Modeling & Visualization}, doi = {10.2312/vmv.20171255}, editor = {Hullin, Matthias and Klein, Reinhard and Schultz, Thomas and Yao, Angela}, isbn = {978-3-03868-049-9}, publisher = {The Eurographics Association}, title = {Structure-aware Stylization of Mountainous Terrains}, url = {https://diglib.eg.org/handle/10.2312/vmv20171255}, year = 2017 }
  Link
  https://diglib.eg.org/handle/10.2312/vmv20171255
21. Schulz, Christoph ; Burch, Michael ; Beck, Fabian ; Weiskopf, Daniel: Visual Data Cleansing of Low-Level Eye Tracking Data. In: Burch, M. ; Chuang, L. ; Fisher, B. ; Schmidt, A. ; Weiskopf, D. (Hrsg.) ; Burch, M. ; Chuang, L. ; Fisher, B. ; Schmidt, A. ; Weiskopf, D. (Hrsg.): Eye Tracking and Visualization: Foundations, Techniques, and Applications. ETVIS 2015, Eye Tracking and Visualization: Foundations, Techniques, and Applications. ETVIS 2015 : Springer International Publishing, 2017
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  - Link
  BibTeX
  @inbook{Schulz2017VDA, author = {Schulz, Christoph and Burch, Michael and Beck, Fabian and Weiskopf, Daniel}, booktitle = {Eye Tracking and Visualization: Foundations, Techniques, and Applications. ETVIS 2015}, editor = {Burch, Michael and Chuang, Lewis and Fisher, Brian and Schmidt, Albrecht and Weiskopf, Daniel}, privnote = {uid:2246}, publisher = {Springer International Publishing}, title = {Visual Data Cleansing of Low-Level Eye Tracking Data}, url = {http://dx.doi.org/10.1007/978-3-319-47024-5_12}, year = 2017 }
  Link
  http://dx.doi.org/10.1007/978-3-319-47024-5_12
22. Schulz, Christoph ; Rodrigues, Nils ; Damarla, Krishna ; Henicke, Andreas ; Weiskopf, Daniel: Visual Exploration of Mainframe Workloads. In: Proceedings of the SIGGRAPH Asia Symposium on Visualization, Proceedings of the SIGGRAPH Asia Symposium on Visualization : ACM, 2017, S. 4:1-4:7
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  BibTeX
  @inproceedings{Schulz2017Visual, abstract = {We present a visual analytics approach to support the workload management process for z/OS mainframes at IBM. This process typically requires the analysis of records consisting of 100 to 150 performance-related metrics, sampled over time. We aim at replacing the previous spreadsheet-based workflow with an easier, faster, and more scalable one regarding measurement periods and collected performance metrics. To achieve this goal, we collaborate with a developer embedded at IBM in a formative process. Based on that experience, we discuss the application background and formulate requirements to support decision making based on performance data for large-scale systems. Our visual approach helps analysts find outliers, patterns, and relations between performance metrics by data exploration through various visualizations. We demonstrate the usefulness and applicability of line plots, scatter plots, scatter plot matrices, parallel coordinates, and correlation matrices for workload management. Finally, we evaluate our approach in a qualitative user study with IBM domain experts.}, author = {Schulz, Christoph and Rodrigues, Nils and Damarla, Krishna and Henicke, Andreas and Weiskopf, Daniel}, booktitle = {Proceedings of the SIGGRAPH Asia Symposium on Visualization}, pages = {4:1-4:7}, publisher = {ACM}, title = {Visual Exploration of Mainframe Workloads}, url = {http://dx.doi.org/10.1145/3139295.3139312}, venue = {Article No. 4}, year = 2017 }
  Link
  http://dx.doi.org/10.1145/3139295.3139312
2016
1. Sacha, Dominik ; Sedlmair, Michael ; Zhang, Leishi ; Lee, John Aldo ; Weiskopf, Daniel ; North, Stephen C. ; Keim, Daniel A.: Human-Centered Machine Learning Through Interactive Visualization: Review and Open Challenges. In: Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2016
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  BibTeX
  @inproceedings{conf/esann/SachaSZLWNK16, author = {Sacha, Dominik and Sedlmair, Michael and Zhang, Leishi and Lee, John Aldo and Weiskopf, Daniel and North, Stephen C. and Keim, Daniel A.}, booktitle = {Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)}, crossref = {conf/esann/2016}, ee = {http://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2016-166.pdf}, title = {Human-Centered Machine Learning Through Interactive Visualization: Review and Open Challenges.}, url = {http://dblp.uni-trier.de/db/conf/esann/esann2016.html#SachaSZLWNK16}, year = 2016 }
  Link
  http://dblp.uni-trier.de/db/conf/esann/esann2016.html#SachaSZLWNK16
2. Netzel, Rudolf ; Weiskopf, Daniel: Hilbert Attention Maps for Visualizing Spatiotemporal Gaze Data. In: 2016, E. (Hrsg.) ; 2016, E. (Hrsg.): Proceedings of the Symposium on Eye Tracking and Visualization (ETVIS), Proceedings of the Symposium on Eye Tracking and Visualization (ETVIS), 2016, S. 21–25
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  BibTeX
  @inproceedings{8f1c1c0fd2ca4873996297fec4e45553, abstract = {Attention maps-often in the form of heatmaps-are a common visualization approach to obtaining an overview of the spatial distribution of gaze data from eye tracking experiments. However, attention maps are not designed to let us easily analyze the temporal information of gaze data: they completely ignore temporal information by aggregating over time, or they use animation to build a sequence of attention maps. To overcome this issue, we introduce Hilbert attention maps: a 2D static visualization of the spatiotemporal distribution of gaze points. The visualization is based on the projection of the 2D spatial domain onto a space-filling Hilbert curve that is used as one axis of our new attention map; the other axis represents time. We visualize Hilbert attention maps either as dot displays or heatmaps. This 2D visualization works for data from individual participants or large groups of participants, it supports static and dynamic stimuli alike, and it does not require any preprocessing or definition of areas of interest. We demonstrate how our visualization allows analysts to identify spatiotemporal patterns of visual reading behavior, including attentional synchrony and smooth pursuit.}, author = {Netzel, Rudolf and Weiskopf, Daniel}, booktitle = {Proceedings of the Symposium on Eye Tracking and Visualization (ETVIS)}, doi = {10.1109/ETVIS.2016.7851160}, editor = {2016, ETVIS}, pages = {21-25}, title = {Hilbert Attention Maps for Visualizing Spatiotemporal Gaze Data}, url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7851160}, year = 2016 }
  Link
  https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7851160
3. Vehlow, Corinna ; Beck, Fabian ; Weiskopf, Daniel: Visualizing Group Structures in Graphs: a Survey. In: Computer Graphics Forum, Computer Graphics Forum. (2016)
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  @article{c926e54bbe424b209a0e460c0b550808, author = {Vehlow, Corinna and Beck, Fabian and Weiskopf, Daniel}, journal = {Computer Graphics Forum}, privnote = {uid:2220}, title = {Visualizing Group Structures in Graphs: a Survey}, url = {http://dx.doi.org/10.1111/cgf.12872}, year = 2016 }
  Link
  http://dx.doi.org/10.1111/cgf.12872
4. Kurzhals, Kuno ; Hlawatsch, Marcel ; Burch, Michael ; Weiskopf, Daniel: Fixation-Image Charts. In: ACM (Hrsg.) ; ACM (Hrsg.): Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA). Bd. 1 : ACM, 2016, S. 11–18
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  BibTeX
  @inproceedings{fa59d5154950416f95cd24068d77e555, abstract = {We facilitate the comparative visual analysis of eye tracking data from multiple participants with a visualization that represents the temporal changes of viewing behavior. Common approaches to visually analyze eye tracking data either occlude or ignore the underlying visual stimulus, impairing the interpretation of displayed measures. We introduce fixation-image charts: a new technique to display the temporal changes of fixations in the context of the stimulus without visual overlap between participants. Fixation durations, the distance and direction of saccades between consecutive fixations, as well as the stimulus context can be interpreted in one visual representation. Our technique is not limited to static stimuli, but can be applied to dynamic stimuli as well. Using fixation metrics and the visual similarity of stimulus regions, we complement our visualization technique with an interactive filter concept that allows for the identification of interesting fixation sequences without the time-consuming annotation of areas of interest. We demonstrate how our technique can be applied to different types of stimuli to perform a range of analysis tasks. Furthermore, we discuss advantages and shortcomings derived from a preliminary user study.}, author = {Kurzhals, Kuno and Hlawatsch, Marcel and Burch, Michael and Weiskopf, Daniel}, booktitle = {Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA)}, editor = {ACM}, pages = {11-18}, publisher = {ACM}, title = {Fixation-Image Charts}, url = {http://dx.doi.org/10.1145/2857491.2857507}, volume = 1, year = 2016 }
  Link
  http://dx.doi.org/10.1145/2857491.2857507
5. Sancho-Chavarria, Lilliana ; Beck, Fabian ; Mata-Montero, Erick ; Weiskopf, Daniel: Visual Comparison of Biological Taxonomies: A Task Characterization. In: EuroVis 2016 Posters, EuroVis 2016 Posters, 2016. — Rezensiertes Poster
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  @inproceedings{084da4efc1924de8a9fc9dd94b349ac2, author = {Sancho-Chavarria, Lilliana and Beck, Fabian and Mata-Montero, Erick and Weiskopf, Daniel}, booktitle = {EuroVis 2016 Posters}, note = {Rezensiertes Poster}, privnote = {uid:2254}, title = {Visual Comparison of Biological Taxonomies: A Task Characterization}, year = 2016 }
6. Blascheck, Tanja ; Kurzhals, Kuno ; Raschke, Michael ; Strohmaier, Stefan ; Weiskopf, Daniel ; Ertl, Thomas: AOI Hierarchies for Visual Exploration of Fixation Sequences. In: Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA ’16, Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA ’16, 2016
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  BibTeX
  @inproceedings{548feb0e41cf4592b1f37e7d9eeb6265, author = {Blascheck, Tanja and Kurzhals, Kuno and Raschke, Michael and Strohmaier, Stefan and Weiskopf, Daniel and Ertl, Thomas}, booktitle = {Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA '16}, privnote = {uid:2160}, title = {AOI Hierarchies for Visual Exploration of Fixation Sequences}, year = 2016 }
7. Schulz, Christoph ; Nocaj, Arlind ; El-Assady, Mennatallah ; Frey, Steffen ; Hlawatsch, Marcel ; Hund, Michael ; Karch, Grzegorz Karol ; Netzel, Rudolf ; u. a.: Generative Data Models for Validation and Evaluation of Visualization Techniques. In: Proceedings of the Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV), Proceedings of the Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV) : ACM, 2016, S. 112–124
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  BibTeX
  @inproceedings{2016SchulzGenerativeDataModels, abstract = {We argue that there is a need for substantially more research on the use of generative data models in the validation and evaluation of visualization techniques. For example, user studies will require the display of representative and uncon-founded visual stimuli, while algorithms will need functional coverage and assessable benchmarks. However, data is often collected in a semi-automatic fashion or entirely hand-picked, which obscures the view of generality, impairs availability, and potentially violates privacy. There are some sub-domains of visualization that use synthetic data in the sense of generative data models, whereas others work with real-world-based data sets and simulations. Depending on the visualization domain, many generative data models are "side projects" as part of an ad-hoc validation of a techniques paper and thus neither reusable nor general-purpose. We review existing work on popular data collections and generative data models in visualization to discuss the opportunities and consequences for technique validation, evaluation, and experiment design. We distill handling and future directions, and discuss how we can engineer generative data models and how visualization research could benefit from more and better use of generative data models.}, author = {Schulz, Christoph and Nocaj, Arlind and El-Assady, Mennatallah and Frey, Steffen and Hlawatsch, Marcel and Hund, Michael and Karch, Grzegorz Karol and Netzel, Rudolf and Schätzle, Christin and Butt, Miriam and Keim, Daniel A. and Ertl, Thomas and Brandes, Ulrik and Weiskopf, Daniel}, booktitle = {Proceedings of the Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV)}, doi = {10.1145/2993901.2993907}, pages = {112-124}, publisher = {ACM}, title = {Generative Data Models for Validation and Evaluation of Visualization Techniques}, url = {http://dx.doi.org/10.1145/2993901.2993907}, year = 2016 }
  Link
  http://dx.doi.org/10.1145/2993901.2993907
8. Weiskopf, D. ; Burch, M. ; Chuang, L. L. ; Fischer, B. ; Schmidt, A.: Eye Tracking and Visualization: Foundations, Techniques, and Applications. Berlin, Heidelberg : Springer, 2016
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  BibTeX
  @book{weiskopf2016tracking, abstract = {This book discusses research, methods, and recent developments in the interdisciplinary field that spans research in visualization, eye tracking, human-computer interaction, and psychology. It presents extended versions of papers from the First Workshop on Eye Tracking and Visualization (ETVIS), which was organized as a workshop of the IEEE VIS Conference 2015. Topics include visualization and visual analytics of eye-tracking data, metrics and cognitive models, eye-tracking experiments in the context of visualization interfaces, and eye tracking in 3D and immersive environments. The extended ETVIS papers are complemented by a chapter offering an overview of visualization approaches for analyzing eye-tracking data and a chapter that discusses electrooculography (EOG) as an alternative of acquiring information about eye movements. Covering scientific visualization, information visualization, and visual analytics, this book is a valuable resource for eye-tracking researchers within the visualization community.}, address = {Berlin, Heidelberg}, author = {Weiskopf, D. and Burch, M. and Chuang, L. L. and Fischer, B. and Schmidt, A.}, doi = {10.1007/978-3-319-47024-5_7}, publisher = {Springer}, title = {Eye Tracking and Visualization: Foundations, Techniques, and Applications}, url = {https://www.springer.com/de/book/9783319470238}, year = 2016 }
  Link
  https://www.springer.com/de/book/9783319470238
9. Blascheck, Tanja ; Beck, Fabian ; Baltes, Sebastian ; Ertl, Thomas ; Weiskopf, Daniel: Visual Analysis and Coding of Data-rich User Behavior. In: Andrienko, G. L. ; Liu, S. ; Stasko, J. T. (Hrsg.) ; Andrienko, G. L. ; Liu, S. ; Stasko, J. T. (Hrsg.): Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST), Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST) : IEEE, 2016 — ISBN 978-1-5090-5661-3, S. 141–150
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  @inproceedings{conf/ieeevast/BlascheckBBEW16, abstract = {Investigating user behavior involves abstracting low-level events to higher-level concepts. This requires an analyst to study individual user activities, assign codes which categorize behavior, and develop a consistent classification scheme. To better support this reasoning process of an analyst, we suggest a novel visual analytics approach which integrates rich user data including transcripts, videos, eye movement data, and interaction logs. Word-sized visualizations embedded into a tabular representation provide a space-efficient and detailed overview of user activities. An analyst assigns codes, grouped into code categories, as part of an interactive process. Filtering and searching helps to select specific activities and focus an analysis. A comparison visualization summarizes results of coding and reveals relationships between codes. Editing features support efficient assignment, refinement, and aggregation of codes. We demonstrate the practical applicability and usefulness of our approach in a case study and describe expert feedback.}, author = {Blascheck, Tanja and Beck, Fabian and Baltes, Sebastian and Ertl, Thomas and Weiskopf, Daniel}, booktitle = {Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST)}, doi = {10.1109/VAST.2016.7883520}, editor = {Andrienko, Gennady L. and Liu, Shixia and Stasko, John T.}, ee = {http://doi.ieeecomputersociety.org/10.1109/VAST.2016.7883520}, isbn = {978-1-5090-5661-3}, pages = {141-150}, publisher = {IEEE}, title = {Visual Analysis and Coding of Data-rich User Behavior}, url = {https://ieeexplore.ieee.org/document/7883520}, year = 2016 }
  Link
  https://ieeexplore.ieee.org/document/7883520
10. Morgenroth, Dieter ; Weiskopf, Daniel ; Eberhardt, Bernhard: Direct raytracing of a closed-form fluid meniscus. In: The Visual Computer, The Visual Computer. Bd. 32 (2016), Nr. 6
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  @article{7a41603b0e654d6795732f4e142a9066, author = {Morgenroth, Dieter and Weiskopf, Daniel and Eberhardt, Bernhard}, journal = {The Visual Computer}, number = 6, privnote = {uid:2385}, title = {Direct raytracing of a closed-form fluid meniscus}, url = {http://dx.doi.org/10.1007/s00371-016-1258-4}, volume = 32, year = 2016 }
  Link
  http://dx.doi.org/10.1007/s00371-016-1258-4
11. Burch, Michael ; Weiskopf, Daniel: Lyrics Word Clouds. In: International Conference on Information Visualisation, International Conference on Information Visualisation, 2016
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  @inproceedings{6fe68b1d6d4a41efbb78f0cffce71bf6, author = {Burch, Michael and Weiskopf, Daniel}, booktitle = {International Conference on Information Visualisation}, privnote = {uid:2262}, title = {Lyrics Word Clouds}, year = 2016 }
12. Kurzhals, Kuno ; Hlawatsch, Marcel ; Heimerl, Florian ; Burch, Michael ; Ertl, Thomas ; Weiskopf, Daniel: Gaze Stripes: Image-based Visualization of Eye Tracking Data. In: IEEE (Hrsg.) IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 22 (2016), Nr. 1, S. 1005–1014
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  BibTeX
  @article{5b12d7ad277a4f55bcd6bd7f5dea5c72, abstract = {We present a new visualization approach for displaying eye tracking data from multiple participants. We aim to show the spatio-temporal data of the gaze points in the context of the underlying image or video stimulus without occlusion. Our technique, denoted as gaze stripes, does not require the explicit definition of areas of interest but directly uses the image data around the gaze points, similar to thumbnails for images. A gaze stripe consists of a sequence of such gaze point images, oriented along a horizontal timeline. By displaying multiple aligned gaze stripes, it is possible to analyze and compare the viewing behavior of the participants over time. Since the analysis is carried out directly on the image data, expensive post-processing or manual annotation are not required. Therefore, not only patterns and outliers in the participants' scanpaths can be detected, but the context of the stimulus is available as well. Furthermore, our approach is especially well suited for dynamic stimuli due to the non-aggregated temporal mapping. Complementary views, i.e., markers, notes, screenshots, histograms, and results from automatic clustering, can be added to the visualization to display analysis results. We illustrate the usefulness of our technique on static and dynamic stimuli. Furthermore, we discuss the limitations and scalability of our approach in comparison to established visualization techniques.}, author = {Kurzhals, Kuno and Hlawatsch, Marcel and Heimerl, Florian and Burch, Michael and Ertl, Thomas and Weiskopf, Daniel}, doi = {10.1109/TVCG.2015.2468091}, editor = {IEEE}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = 1, pages = {1005-1014}, title = {Gaze Stripes: Image-based Visualization of Eye Tracking Data}, url = {http://dx.doi.org/10.1109/TVCG.2015.2468091}, volume = 22, year = 2016 }
  Link
  http://dx.doi.org/10.1109/TVCG.2015.2468091
13. Netzel, Rudolf ; Burch, Michael ; Weiskopf, Daniel: Interactive Scanpath-oriented Annotation of Fixations. In: ACM (Hrsg.) Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA). (2016), S. 183–187
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  @article{NetzelETRA2016, abstract = {In this short paper, we present a lightweight application for the interactive annotation of eye tracking data for both static and dynamic stimuli. The main functionality is the annotation of fixations that takes into account the scanpath and stimulus. Our visual interface allows the annotator to work through a sequence of fixations, while it shows the context of the scanpath in the form of previous and subsequent fixations. The context of the stimulus is included as visual overlay. Our application supports the automatic initial labeling according to areas of interest (AOIs), but is not dependent on AOIs. The software is easily configurable, supports user-defined annotation schemes, and fits in existing workflows of eye tracking experiments and the evaluation thereof by providing import and export functionalities for data files.}, author = {Netzel, Rudolf and Burch, Michael and Weiskopf, Daniel}, doi = {10.1145/2857491.2857498}, editor = {ACM}, journal = {Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA)}, pages = {183-187}, title = {Interactive Scanpath-oriented Annotation of Fixations}, url = {http://dx.doi.org/10.1145/2857491.2857498}, year = 2016 }
  Link
  http://dx.doi.org/10.1145/2857491.2857498
14. Beck, Fabian ; Acurana, Yasett ; Blascheck, Tanja ; Netzel, Rudolf ; Weiskopf, Daniel: An Expert Evaluation of Word-Sized Visualizations for Analyzing Eye Movement Data. In: 2016, E. (Hrsg.) ; 2016, E. (Hrsg.): , 2016
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  @inproceedings{8064b63fc0864863a53ff1c28c856f7e, author = {Beck, Fabian and Acurana, Yasett and Blascheck, Tanja and Netzel, Rudolf and Weiskopf, Daniel}, editor = {2016, ETVIS}, privnote = {uid:2286}, title = {An Expert Evaluation of Word-Sized Visualizations for Analyzing Eye Movement Data}, year = 2016 }
15. Burch, Michael ; Netzel, Rudolf ; Weiskopf, Daniel: How Map Design Can Benefit From Eye Tracking. In: BCS/SoC Mapping Conference, BCS/SoC Mapping Conference, 2016
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  BibTeX
  @inproceedings{afa99fa1d4e94e268915757d88ea5153, author = {Burch, Michael and Netzel, Rudolf and Weiskopf, Daniel}, booktitle = {BCS/SoC Mapping Conference}, privnote = {uid:2264}, title = {How Map Design Can Benefit From Eye Tracking}, year = 2016 }
16. Kurzhals, Kuno ; John, Markus ; Heimerl, Florian ; Kuznecov, Paul ; Weiskopf, Daniel: Visual Movie Analytics. In: IEEE Transactions on Multimedia, IEEE Transactions on Multimedia. Bd. 18, IEEE Transactions on Multimedia (2016), Nr. 11
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  @article{14c0eef755884876814d9d911b6ca218, author = {Kurzhals, Kuno and John, Markus and Heimerl, Florian and Kuznecov, Paul and Weiskopf, Daniel}, journal = {IEEE Transactions on Multimedia}, number = 11, privnote = {uid:2373}, publisher = {IEEE Transactions on Multimedia}, title = {Visual Movie Analytics}, url = {http://dx.doi.org/10.1109/TMM.2016.2614184}, volume = 18, year = 2016 }
  Link
  http://dx.doi.org/10.1109/TMM.2016.2614184
17. Beck, Fabian ; Melcher, Jan ; Weiskopf, Daniel: Identifying Modularization Patterns by Visual Comparison of Multiple Hierarchies. In: Proceedings of the 2016 IEEE 24th International Conference on Program Comprehension (ICPC), Proceedings of the 2016 IEEE 24th International Conference on Program Comprehension (ICPC) : IEEE, 2016
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  BibTeX
  @inproceedings{1694d075737d4b2b930a0e0cd88f4239, author = {Beck, Fabian and Melcher, Jan and Weiskopf, Daniel}, booktitle = {Proceedings of the 2016 IEEE 24th International Conference on Program Comprehension (ICPC)}, privnote = {uid:2205}, publisher = {IEEE}, title = {Identifying Modularization Patterns by Visual Comparison of Multiple Hierarchies}, url = {http://dx.doi.org/10.1109/ICPC.2016.7503712}, year = 2016 }
  Link
  http://dx.doi.org/10.1109/ICPC.2016.7503712
18. Kurzhals, Kuno ; Weiskopf, Daniel: Visualizing Eye Tracking Data with Gaze-Guided Slit-Scans. In: IEEE (Hrsg.) ; IEEE (Hrsg.): IEEE Second Workshop on Eye Tracking and Visualization (ETVIS), IEEE Second Workshop on Eye Tracking and Visualization (ETVIS), 2016
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  BibTeX
  @inproceedings{49d7c274d40e4638846af9854ef90312, author = {Kurzhals, Kuno and Weiskopf, Daniel}, booktitle = {IEEE Second Workshop on Eye Tracking and Visualization (ETVIS) }, editor = {IEEE}, privnote = {uid:2381}, title = {Visualizing Eye Tracking Data with Gaze-Guided Slit-Scans}, url = {http://dx.doi.org/10.1109/ETVIS.2016.7851165}, year = 2016 }
  Link
  http://dx.doi.org/10.1109/ETVIS.2016.7851165
19. Beck, Fabian ; Burch, Michael ; Weiskopf, Daniel: A Matrix-Based Visual Comparison of Time Series Sports Data. In: Eurographics (Hrsg.) ; Eurographics (Hrsg.): Vision, Modeling & Visualization (VMV 2016), Vision, Modeling & Visualization (VMV 2016), 2016
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  BibTeX
  @inproceedings{e51001fc5029485fb26d2d4f6813a60a, author = {Beck, Fabian and Burch, Michael and Weiskopf, Daniel}, booktitle = {Vision, Modeling & Visualization (VMV 2016)}, editor = {Eurographics}, privnote = {uid:2310}, title = {A Matrix-Based Visual Comparison of Time Series Sports Data}, url = {http://dx.doi.org/10.2312/vmv.20161342}, year = 2016 }
  Link
  http://dx.doi.org/10.2312/vmv.20161342
20. Kumar, Ayush ; Netzel, Rudolf ; Burch, Michael ; Weiskopf, Daniel ; Mueller, Klaus: Multi-Similarity Matrices of Eye Movement Data. In: 2016, E. (Hrsg.) ; 2016, E. (Hrsg.): Proceedings of the Symposium on Eye Tracking and Visualization (ETVIS), Proceedings of the Symposium on Eye Tracking and Visualization (ETVIS), 2016, S. 26–30
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  @inproceedings{8d5448ddd0994f0b9fd28dbc4bd62399, author = {Kumar, Ayush and Netzel, Rudolf and Burch, Michael and Weiskopf, Daniel and Mueller, Klaus}, booktitle = {Proceedings of the Symposium on Eye Tracking and Visualization (ETVIS)}, doi = {10.1109/ETVIS.2016.7851161}, editor = {2016, ETVIS}, pages = {26-30}, title = {Multi-Similarity Matrices of Eye Movement Data}, url = {https://ieeexplore.ieee.org/document/7851161}, year = 2016 }
  Link
  https://ieeexplore.ieee.org/document/7851161
21. Netzel, Rudolf ; Burch, Michael ; Weiskopf, Daniel: User Performance and Reading Strategies for Metro Maps: An Eye Tracking Study. In: Spatial Cognition and Computation, Special Issue: Eye Tracking for Spatial Research, Spatial Cognition and Computation, Special Issue: Eye Tracking for Spatial Research., Taylor & Francis (2016)
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  @article{ff91b49505474a09b9c3dbe7bd4dc313, abstract = {We conducted a controlled empirical eye tracking study with 40 participants using schematic metro maps. The study focused on two aspects: determining different reading strategies and assessing user performance. We considered the following factors: color encoding (color vs. gray-scale), map complexity (three levels), and task difficulty (three levels). There was one type of task: find a route from a start to a target location and state the number of transfers that have to be performed. To identify reading strategies, we annotated fixations of scanpaths, computed a transition matrix of each annotated scanpath, and used these matrices as input to cluster scanpaths into groups of similar behavior. We show how these reading strategies relate to the geodesic structure of the scanpaths' fixations projected onto the geodesic line that connects start and target locations. The analysis of the eye tracking data is complemented by statistical inference working on two eye tracking metrics (average fixation duration and saccade length). User performance was evaluated with a statistical analysis of task correctness and completion time. Our study shows that the design factors have a significant impact on user task performance. Also, we were able to identify typical reading strategies like directly finding a path from start to target location. Often, participants check the correctness of their result multiple times by moving back and forth between start and target. Our findings also indicate that the choice of reading strategies does not depend on whether color or gray-scale encoding is used.}, author = {Netzel, Rudolf and Burch, Michael and Weiskopf, Daniel}, doi = {http://dx.doi.org/10.1080/13875868.2016.1226839}, journal = {Spatial Cognition and Computation, Special Issue: Eye Tracking for Spatial Research}, publisher = {Taylor & Francis}, title = {User Performance and Reading Strategies for Metro Maps: An Eye Tracking Study}, url = {https://www.tandfonline.com/doi/full/10.1080/13875868.2016.1226839}, year = 2016 }
  Link
  https://www.tandfonline.com/doi/full/10.1080/13875868.2016.1226839
22. Kurzhals, Kuno ; Fisher, Brian ; Burch, Michael ; Weiskopf, Daniel: Eye Tracking Evaluation of Visual Analytics. In: Information Visualization, Information Visualization. Bd. 15 (2016), Nr. 4, S. 340–358
  - BibTeX
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  BibTeX
  @article{09b6f08ca4a443e9a9e0ec67a2a75fef, abstract = {The application of eye tracking for the evaluation of humans’ viewing behavior is a common approach in psy-chological research. So far, the use of this technique for the evaluation of visual analytics and visualization isless prominent. We investigate recent scientific publications from the main visualization and visual analyticsconferences and journals, as well as related research fields that include an evaluation by eye tracking.Furthermore, we provide an overview of evaluation goals that can be achieved by eye tracking and state-of-the-art analysis techniques for eye tracking data. Ideally, visual analytics leads to a mixed-initiative cognitivesystem where the mechanism of distribution is the interaction of the user with the visualization environment.Therefore, we also include a discussion of cognitive approaches and models to include the user in the evalua-tion process. Based on our review of the current use of eye tracking evaluation in our field and the cognitivetheory, we propose directions for future research on evaluation methodology, leading to the grand challengeof developing an evaluation approach to the mixed-initiative cognitive system of visual analytics.}, author = {Kurzhals, Kuno and Fisher, Brian and Burch, Michael and Weiskopf, Daniel}, doi = {10.1177/1473871615609787}, journal = {Information Visualization}, number = 4, pages = {340-358}, title = {Eye Tracking Evaluation of Visual Analytics}, url = {https://doi.org/10.1177/1473871615609787}, volume = 15, year = 2016 }
  Link
  https://doi.org/10.1177/1473871615609787
23. Burch, Michael ; Woods, Robin ; Netzel, Rudolf ; Weiskopf, Daniel: The Challenges of Designing Metro Maps. In: Proceedings of the Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), Proceedings of the Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP). Bd. 2: IVAPP : SciTePress, 2016
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  BibTeX
  @inproceedings{bd990abca9be420db5e2ed9f82206492, abstract = {Metro maps can be regarded as a particular version of information visualization. The goal is to produce readable and effective map designs. In this paper, we combine the expertise of design experts and visualization researchers to achieve this goal. The aesthetic design of the maps should play a major role as the intention of the designer is to make them attractive for the human viewer in order to use the designs in a way that is the most efficient. The designs should invoke accurate actions by the user—in the case of a metro map, the user would be making journeys. We provide two views on metro map designs: one from a designer point of view and one from a visualization expert point of view. The focus of this work is to find a combination of both worlds from which the designer as well as the visualizer can benefit. To reach this goal we first describe the designer’s work when designing metro maps, then we take a look at how a visualizer measures performance from an end user perspective by tracking people’s eyes when working with the formerly designed maps while answering a route finding task. }, author = {Burch, Michael and Woods, Robin and Netzel, Rudolf and Weiskopf, Daniel}, doi = {10.5220/0005679601950202}, journal = {Proceedings of the Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)}, publisher = {SciTePress}, title = {The Challenges of Designing Metro Maps}, url = {http://dblp.uni-trier.de/db/conf/grapp/ivapp2016.html#BurchWNW16}, volume = {2: IVAPP}, year = 2016 }
  Link
  http://dblp.uni-trier.de/db/conf/grapp/ivapp2016.html#BurchWNW16
2015
1. Kurzhals, Kuno ; Burch, Michael ; Pfeiffer, Thies ; Weiskopf, Daniel: Eye Tracking in Computer-based Visualization. In: IEEE (Hrsg.) Computing in Science & Engineering, Computing in Science & Engineering. Bd. 17 (2015), Nr. 5, S. 64–71
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  BibTeX
  @article{2f2cf3e3e9634d7491ce170d074870d8, abstract = {The authors describe the creation of a tridimensional fly-through animation across the largest map of galaxies to date. This project represented a challenge: creating a scientifically accurate representation of the galaxy distribution that was aesthetically pleasing. The animation shows almost half a million galaxies as the viewer travels through the vast intergalactic regions, giving a glimpse of the sheer size of the universe.}, author = {Kurzhals, Kuno and Burch, Michael and Pfeiffer, Thies and Weiskopf, Daniel}, doi = {10.1109/MCSE.2015.93}, editor = {IEEE}, journal = {Computing in Science & Engineering}, number = 5, pages = {64-71}, title = {Eye Tracking in Computer-based Visualization}, url = {http://dx.doi.org/10.1109/MCSE.2015.93}, volume = 17, year = 2015 }
  Link
  http://dx.doi.org/10.1109/MCSE.2015.93
2. Schulz, Christoph ; Burch, Michael ; Weiskopf, Daniel: Visual Data Cleansing of Eye Tracking Data. In: Proceedings of the Symposium on Eye Tracking and Visualization (ETVIS), Proceedings of the Symposium on Eye Tracking and Visualization (ETVIS), 2015. — Rezensiertes Abstract
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  BibTeX
  @inproceedings{Schulz2015Visual, abstract = {Analysis and visualization of eye movement data from eye tracking studies typically take into account gazes, fixations,and saccades of both eyes filtered and fused into a combined eye. Although this is a valid strategy, we argue that it is also worthinvestigating low-level eye tracking data prior to high-level analysis, since today’s eye tracking systems measure and infer data fromboth eyes separately. In this work, we present an approach that supports visual analysis and cleansing of low-level time-varying datafor a wide range of eye tracking experiments. The visualization helps researchers get insights into the quality in terms of uncertainty—not only for both eyes in combination but each eye individually. Furthermore, we discuss uncertainty originating from eye tracking,how to reveal it for visualization and illustrate its usefulness using our approach by applying it to eye movement data formerly recordedwith a Tobii T60XL stationary eye tracker using a prototypical implementation.}, author = {Schulz, Christoph and Burch, Michael and Weiskopf, Daniel}, booktitle = {Proceedings of the Symposium on Eye Tracking and Visualization (ETVIS)}, note = {Rezensiertes Abstract}, title = {Visual Data Cleansing of Eye Tracking Data}, url = {http://etvis.visus.uni-stuttgart.de/etvis2015/papers/etvis15_schulz.pdf}, year = 2015 }
  Link
  http://etvis.visus.uni-stuttgart.de/etvis2015/papers/etvis15_schulz.pdf
3. Burch, Michael ; Weiskopf, Daniel: Flip-Book Visualization of Dynamic Graphs. In: International Journal of Software and Informatics (IJSI), International Journal of Software and Informatics (IJSI). (2015)
  - BibTeX
  BibTeX
  @article{04c83d00cc974af4b1ec25140b2a435b, author = {Burch, Michael and Weiskopf, Daniel}, journal = {International Journal of Software and Informatics (IJSI)}, privnote = {uid:2248}, title = {Flip-Book Visualization of Dynamic Graphs}, year = 2015 }
4. Kurzhals, Kuno ; Fisher, Brian ; Burch, Michael ; Weiskopf, Daniel: Eye Tracking Evaluation of Visual Analytics. In: Information Visualization, Information Visualization. (2015)
  - BibTeX
  - Link
  BibTeX
  @article{45247cd9e7134c5a9ddfa29eac37fe11, author = {Kurzhals, Kuno and Fisher, Brian and Burch, Michael and Weiskopf, Daniel}, journal = {Information Visualization}, privnote = {uid:2270}, title = {Eye Tracking Evaluation of Visual Analytics}, url = {http://dx.doi.org/10.1177/1473871615609787}, year = 2015 }
  Link
  http://dx.doi.org/10.1177/1473871615609787
5. Burch, Michael ; Munz, Tanja ; Weiskopf, Daniel: Edge-stacked Timelines for Visualizing Dynamic Weighted Digraphs. In: Braz, J. ; Kerren, A. ; Linsen, L. (Hrsg.) ; Braz, J. ; Kerren, A. ; Linsen, L. (Hrsg.): Proceedings of the 6th International Conference on Information Visualization Theory and Applications (IVAPP), Proceedings of the 6th International Conference on Information Visualization Theory and Applications (IVAPP) : SciTePress, 2015 — ISBN 978-989-758-088-8, S. 93–100
  - BibTeX
  BibTeX
  @inproceedings{burch2015edgestacked, address = {Setúbal}, author = {Burch, Michael and Munz, Tanja and Weiskopf, Daniel}, booktitle = {Proceedings of the 6th International Conference on Information Visualization Theory and Applications (IVAPP)}, doi = {10.5220/0005259200930100}, editor = {Braz, José and Kerren, Andreas and Linsen, Lars}, eventdate = {2015-03-11/2015-03-14}, eventtitle = {6th International Conference on Information Visualization Theory and Applications (IVAPP)}, isbn = {978-989-758-088-8}, pages = {93-100}, publisher = {SciTePress}, title = {Edge-stacked Timelines for Visualizing Dynamic Weighted Digraphs}, venue = {Berlin, Germany}, year = 2015 }
2013
1. Morgenroth, Dieter ; Weiskopf, Daniel ; Eberhardt, Bernhard: Distributed VFX Architecture for SPH Simulation. In: Journal of WSCG, Journal of WSCG. Bd. 3, 2013
  - BibTeX
  BibTeX
  @inproceedings{4cf155ccad614d64991fed813d6bc744, author = {Morgenroth, Dieter and Weiskopf, Daniel and Eberhardt, Bernhard}, booktitle = {Journal of WSCG}, number = 21, privnote = {uid:2247}, title = {Distributed VFX Architecture for SPH Simulation}, volume = 3, year = 2013 }

CV

Education
2005 Habilitation (venia legendi) in Informatik, Universität Stuttgart
2001 Dr. rer. nat. (Ph.D.) in Physik, Universität Tübingen
1997 Diplom (M.Sc.) in Physik, Universität Tübingen

Work history
06/2007 - present Professor of computer science at Universität Stuttgart
09/2005 - 05/2007 Assistant Professor, School of Computing Science at Simon Fraser University
11/2001 - 08/2005 Wissenschaftlicher Assistent at the Institute of Visualization and Interactive Systems, Universität Stuttgart

Emphasis

Projects

Projects at Universität Stuttgart: since 2007

Project "Texturbasierte Vektorfeldvisualisierung mit Methoden der Signalverarbeitung" (DFG-Einzelantrag): 2009-2012
Project " Photo-realistische, physikalisch konsistente 3D-Modellierung und interaktive Darstellung astronomischer Objekte für digitale Planetarien" (DFG-Einzelantrag zusammen mit M. Magnor): 2009-2012
Project "Scalable Visual Analytics of Video Data" within DFG Schwerpunktprogramm 1335 (Scalable Visual Analytics): 2008-2011
Project "Visualization for Integrated Simulation Systems" within Exzellenzcluster "Simulation Technology" (SimTech): 2008-2011
EU Coordination Action Project VisMaster - Mastering the Information Age (coordinators: J. Kohlhammer, D. Keim), 2008-2010
Project D5 (Aggregations- und Multiskalen-Techniken, Engl.: Aggregation and Multiscale Techniques) within Sonderforschungsbereich 716 (Dynamische Simulation von Systemen mit großen Teilchenzahlen, Engl.: Dynamic Simulation of Systems with Large Number of Particles): 2009-2010
Project C5 (Kontextbasierte mobile Visualisierung, Engl.: Context-based mobile Visualization) within Sonderforschungsbereich 627 (Umgebungsmodelle für mobile kontextbezogene Systeme (Nexus)): together with T. Ertl, 2007-2010

Project Funding at Simon Fraser University

NSERC Strategic Project: "Networked 3D Graphics and AI for Wireless Mobile Games", PI with co-PIs R.T. Vaughan and T. Möller (2006-2009)
NSERC Discovery Grant: "Scalable Interactive Visualization", PI (2006-2009)
President's Research Grant (SFU): "Texture-Based Visualization of 3D Flow", PI (2005-2007)
Start-up Grant (SFU): "Real-time Explanatory and Illustrative Visualization", PI (2005-2008)

Completed Projects at Universität Stuttgart: 2000-2005

Eliteförderprogramm für Postdoktoranden der Landesstiftung Baden-Württemberg
Project i-modanim within the program self-study online
Project C5 (Abstraction of the Augmented World Model for AR-Applications) within Sonderforschungsbereich 627 (Umgebungsmodelle für mobile kontextbezogene Systeme (Nexus))
Project D4 (Visualization of Four-Dimensional Curved Spacetimes) within Sonderforschungsbereich 382(Verfahren und Algorithmen zur Simulation physikalischer Prozesse auf Höchstleistungsrechnern)
Project D8 (Visualization on Graphics Clusters) within Sonderforschungsbereich 382 (Verfahren und Algorithmen zur Simulation physikalischer Prozesse auf Höchstleistungsrechnern)

Chairing, Conference Committees and Reviewing

Chairing

Eurographics Working Group on Parallel Graphics

Conference organization

Programm-Kommitees

2011

Eurographics
Eurographics Symposium on Parallel Graphics and Visualization
GRAPP (International Conference on Computer Graphics Theory and Applications)
IEEE VAST

2010

Afrigraph
Computational Aesthetics
Eurographics Short-Papers Track
Eurographics Symposium on Parallel Graphics and Visualization
GraphiCon
GRAPP (International Conference on Computer Graphics Theory and Applications)
IEEE Visualization
International Symposium on Visual Computing (ISVC)
Information Visualization (IV)
Vision, Modeling, and Visualization (VMV)
Volume Graphics Workshop (VG)

2009

Afrigraph
Computational Aesthetics
Eurographics
Eurographics / IEEE VGTC Symposium on Visualization (Eurovis)
GRAPP (International Conference on Computer Graphics Theory and Applications)
International Symposium on Visual Computing (ISVC)
Vision, Modeling, and Visualization (VMV)
Workshop on Concepts of Massively Multiuser Virtual Environments (CoMMVE'09)

2008

3DPVT
Computational Aesthetics
Eurographics / IEEE VGTC Symposium on Visualization (Eurovis)
GRAPP (International Conference on Computer Graphics Theory and Applications)
International Symposium on Visual Computing (ISVC)
International Workshop on Super Visualization (IWSV08) at ACM International Conference on Supercomputing
Knowledge-Assisted Visualization (KAV) at IEEE VisWeek 2008
Simulation and Visualisation (SimVis)
Vision, Modeling, and Visualization (VMV)
Volume Graphics Workshop (VG)

2007

Eurographics / IEEE VGTC Symposium on Visualization (Eurovis)
Graphics Interface
GRAPP (International Conference on Computer Graphics Theory and Applications)
IASTED Conference on Visualization, Imaging, and Image Processing
ICCS (International Conference on Computational Science): Workshop on Efficient Data Management for HPC Simulation Applications
IEEE Visualization
Knowledge-Assisted Visualization (KAV) at IEEE Visualization 2007
Simulation and Visualisation (SimVis)
Vision, Modeling, and Visualization (VMV)
Volume Graphics Workshop (VG)
WSCG Conference on Computer Graphics, Visualization, and Computer Vision

2006

Eurographics / IEEE VGTC Symposium on Visualization (Eurovis)
IASTED Conference on Visualization, Imaging, and Image Processing
IEEE Visualization
Simulation and Visualisation (SimVis)
Vision, Modeling, and Visualization (VMV)
Volume Graphics Workshop (VG)
WSCG Conference on Computer Graphics, Visualization, and Computer Vision

2005

Eurographics / IEEE VGTC Symposium on Visualization (Eurovis)
IASTED Conference on Visualization, Imaging, and Image Processing
IEEE Visualization
Simulation and Visualisation (SimVis)
Spring Conference on Computer Graphics (SCCG)
Volume Graphics Workshop (VG)
WSCG Conference on Computer Graphics, Visualization, and Computer Vision

2004

IASTED Conference on Visualization, Imaging, and Image Processing

2003

Vision, Video and Graphics Conference

Reviewing (journals, conferences, book manuscripts)

In addition to reviewing tasks as member of program committees, I have been reviewing for the following journals, conferences (as external reviewer), and publishers.

Journals

ACM Transactions on Graphics (2005)
ACM Transactions on Applied Perception (2007, 2008)
American Journal of Physics (2004, 2005, 2006)
Computer Graphics Forum (2006, 2007, 2008)
Computers and Graphics (2009)
IEEE Computer Graphics and Applications (2003, 2004, 2008)
IEEE Transactions on Image Processing (2004)
IEEE Transactions on Visualization and Computer Graphics (2003, 2004, 2005, 2006, 2007, 2008)
Int. J. Computational Science and Engineering (2007)
Journal of Image and Vision Computing (2003)
SIAM Journal on Scientific Computing (2006)

Conferences

3DPVT (3D Data Processing, Visualization, and Transmission) (2002)
ACM Interactive 3D Graphics (I3DG) (1998)
ACM SIGGRAPH (2002, 2003, 2004, 2005, 2006, 2008)
ACM SIGGRAPH Asia (2008)
BIRS Workshop on Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration (2004)
Eurographics Annual Conference (2002, 2003, 2005, 2007, 2008)
Eurographics Annual Conference Short Papers (2006)
Eurographics Rendering Workshop (2000)
Eurographics Virtual Environments (2002, 2003)
Eurographics/IEEE TCVG Symposium on Visualization (2003, 2004)
Graphics Interface (2001, 2003)
IEEE Information Visualization (InfoVis) (2007, 2008)
IEEE Pacific Visualization Symposium (PacificVis) (2008)
IEEE Visualization (2000, 2001, 2002, 2003, 2004, 2008)
IEEE/SIGGRAPH Symposium on Volume Visualization and Graphics (VolVis) (2004)
Information Visualization (IV) (2007)
MICCAI (2008)
Pacific Graphics (2005)
Simulation and Visualisation (SimVis) (2001)
SPIE VDA (2006)
VMV (Vision, Modeling, and Visualization) (2001, 2002, 2003)
Vismath (Visualization and Mathematics) (2002)

Book Manuscripts and Other Reviewing

Review Board of "Interactive Visualisation" (eds. E. Zudilova-Seinstra, T. Adriaansen, R. van Liere), Springer
Morgan Kaufmann/Elsevier (2006)

Invited Talks

2006

22.6.2006, SFU Computing Science Community Awards Evening Reception, Keynote Presentation "Computer-based visualization: today & tomorrow"

2005

4.3.2005, Industriekolloquium, SFB 627, Universität Stuttgart: Visualisierung und 3D Computergraphik auf mobilen Geräten

2004

18.8.2004, University of California, Davis: Texture-Based Flow Visualization
16.8.2004, Simon Fraser University, Vancouver: Texture-Based Flow Visualization
13.7.2004, Informatik-Kolloqium, Universität Stuttgart: Interaktive Visualisierungstechniken für PC-Graphikhardware
24.5.2004: BIRS-Workshop "Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration", Banff: Flow Visualization, Hierarchical Models, and Large Data Visualization

2003

13.11.2003, VRVis, Vienna: Texture-Based Flow Visualization
3.10.2003, Brown University: GPU-Based Interactive Visualization and Non-Photorealistic Rendering
1.10.2003, University of Utah, Salt Lake City: Texture-Based Flow Visualization
21.9.2003, ACM SIGGRAPH/Eurographics Campfire "Visualization Meets Visual Effects": Vis Rendering Techniques
11.7.2003, Graphik-Kolloquium, Universität Erlangen-Nürnberg: Strömungsvisualisierung durch Texturadvektion
25.6.2003, Arbeitskreis Astronomie, Studium Generale, Universität Stuttgart: Relativistische Visualisierung
5.6.2003, Dagstuhl Seminar "Scientific Visualization: Extracting Information and Knowledge from Scientific Data Sets", Dagstuhl: A Framework for Texture-Based Flow Visualization
9.5.2003, GRIS-Kolloqium, Universität Tübingen: Relativistische Visualisierung

2002

14.5.2002, Flow Visualization Colloquium, Universität Stuttgart: Interactive Flow Visualization on PC Graphics Hardware

2001

6.10.2001, USF2001 (Unterhaltungssoftware Forum), Frankfurt: Hardware-beschleunigte Simulation und Rendering durch Pixel Shader

2000

4.12.2000, Universität Kaiserslautern: Spezielle Relativitätstheorie und Visualisierung
10.11.2000, GRIS-Kolloquium, Universität Tübingen: Relativitätstheorie und Visualisierung

Conference Talks

2006

9.6.2006, Graphics Interface, paper talk "Cycle Shading for the Assessment and Visualization of Shape in One and Two Codimensions"

2005

28.10.2005, IEEE Visualization, paper talk "Particle and Texture Based Spatiotemporal Visualization of Time-Dependent Vector Fields"
28.10.2005, IEEE Visualization, paper talk "Visualization in the Einstein Year 2005: A Case Study on Explanatory and Illustrative Visualization of Relativity and Astrophysics"
26.10.2005, IEEE Visualization, panel discussion, panel: "The Visualization Process: The Path from Data to Insight", position statement: "Interactivity and Visual Communication"
1.6.2005, Eurovis (Eurographics / IEEE VGTC Symposium on Visualization), paper talk "Real-Time Advection and Volumetric Illumination for the Visualization of 3D Unsteady Flow"

Note: Talks for years 2004 and earlier are not listed.

Tutorials and Courses at Conferences

IEEE Visualization 2006 Tutorial 6: Texture and Feature-Based Flow Visualization
SIGGRAPH 2004 Course #28: Real-Time Volume Graphics
IEEE Visualization 2004 Tutorial: Interactive Texture-Based Flow Visualization
IEEE Visualization 2003 Tutorial 1: Interactive Visualization of Volumetric Data on Consumer PC Hardware
Eurographics 2003 Tutorial T7: Programming Graphics Hardware
SIGGRAPH 2001 Course #15: Visualizing Relativity

Daniel Weiskopf

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