Dieses Bild zeigt Michael Sedlmair

Michael Sedlmair

Herr Prof. Dr.

Professur Augmented Reality und Virtual Reality, Geschäftsführender Direktor VIS
Visualisierungsinstitut (VISUS) und Institut für Visualisierung und Interaktive Systeme (VIS) der Universität Stuttgart
Arbeitsgruppe Sedlmair

Kontakt

+49 711 685 88603
 +49 711 685 88610
Visitenkarte (VCF)

Allmandring 19
70569 Stuttgart
Deutschland
Raum: 01.010

  1. 2025

    1. S. Rau, F. Heyen, B. Brachtel, and M. Sedlmair, “MAICO: A Visualization Design Study on AI-Assisted Music Composition,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–16, Feb. 2025, doi: 10.1109/tvcg.2025.3539779.

  2. 2024

    1. A. Achberger, P. Gebhardt, and M. Sedlmair, “An Exploratory Expert-Study for Multi-Type Haptic Feedback for Automotive Virtual Reality Tasks,” IEEE Transactions on Visualization and Computer Graphics, vol. 30, Art. no. 11, Sep. 2024, doi: 10.1109/tvcg.2024.3456203.
    2. K. Angerbauer et al., “Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR,” in The 26th International ACM SIGACCESS Conference on Computers and Accessibility, New York, NY, USA: ACM, 2024, pp. 1–15. doi: 10.1145/3663548.3675601.
    3. S. Beck et al., “ChoreoVis: Planning and Assessing Formations in Dance Choreographies,” Computer Graphics Forum, vol. 43, Art. no. 3, 2024, doi: 10.1111/cgf.15104.
    4. N. Doerr, B. Lee, K. Baricova, D. Schmalstieg, and M. Sedlmair, “Visual Highlighting for Situated Brushing and Linking,” Computer Graphics Forum, vol. 43, Art. no. 3, 2024, doi: 10.1111/cgf.15105.
    5. M. M. Hamza, E. Ullah, A. Baggag, H. Bensmail, M. Sedlmair, and M. Aupetit, “ClustML: A measure of cluster pattern complexity in scatterplots learnt from human-labeled groupings,” Information Visualization, vol. 23, Art. no. 2, 2024, doi: 10.1177/14738716231220536.
    6. M. Jenadeleh et al., “An Image Quality Dataset with Triplet Comparisons for Multi-dimensional Scaling.” IEEE, pp. 278–281, 2024. doi: 10.1109/qomex61742.2024.10598258.
    7. C. Krauter, K. Angerbauer, A. Sousa Calepso, A. Achberger, S. Mayer, and M. Sedlmair, “Sitting Posture Recognition and Feedback: A Literature Review,” in CHI ’24: Proceedings of the CHI Conference on Human Factors in Computing Systems, in CHI. NY: ACM, 2024. doi: 10.1145/3613904.3642657.
    8. N. Pathmanathan et al., “Eyes on the Task: Gaze Analysis of Situated Visualization for Collaborative Tasks,” in 2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR), IEEE, 2024, pp. 785–795. doi: 10.1109/vr58804.2024.00098.
    9. C. Quijano-Chavez, N. Doerr, B. Lee, D. Schmalstieg, and M. Sedlmair, “Brushing and Linking for Situated Analytics.” IEEE, Orlando, FL, USA, pp. 597–603, Mar. 2024. doi: 10.1109/vrw62533.2024.00116.
    10. T. Rau et al., “Understanding Collaborative Learning of Molecular Structures in AR with Eye Tracking,” IEEE Computer Graphics and Applications, pp. 1–12, 2024, doi: 10.1109/mcg.2024.3503903.
    11. T. Rau, M. Sedlmair, and A. Köhn, “chARpack: The Chemistry Augmented Reality Package,” Journal of Chemical Information and Modeling, vol. 64, Art. no. 12, 2024, doi: 10.1021/acs.jcim.4c00462.
    12. L. Xiao et al., “A Systematic Review of Ability-diverse Collaboration through Ability-based Lens in HCI,” in Proceedings of the CHI Conference on Human Factors in Computing Systems, New York, NY, USA: ACM, 2024, pp. 1–21. doi: 10.1145/3613904.3641930.
    13. X. Yu, B. Lee, and M. Sedlmair, “Design Space of Visual Feedforward And Corrective Feedback in XR-Based Motion Guidance Systems,” in Proceedings of the CHI Conference on Human Factors in Computing Systems, New York, NY, USA: ACM, May 2024, pp. 1–15. doi: 10.1145/3613904.3642143.
    14. X. Yu et al., “PerSiVal: On-Body AR Visualization of Biomechanical Arm Simulations,” IEEE Computer Graphics and Applications, vol. 11, Art. no. 11, Nov. 2024, doi: 10.1109/mcg.2024.3494598.

  3. 2023

    1. R. Bauer et al., “Visual Ensemble Analysis of Fluid Flow in Porous Media across Simulation Codes and Experiment,” Transport in Porous Media, 2023, doi: 10.1007/s11242-023-02019-y#citeas.
    2. S. Beck, N. Doerr, F. Schmierer, M. Sedlmair, and S. Koch, “Visual Planning and Analysis of Latin Formation Dance Patterns,” in EuroVis 2023 - Posters, C. Gillmann, M. Krone, and S. Lenti, Eds., The Eurographics Association, 2023. doi: 10.2312/evp.20231076.
    3. K.-T. Chen et al., “Reading Strategies for Graph Visualizations That Wrap Around in Torus Topology,” in Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, in ETRA ’23. New York, NY, USA: Association for Computing Machinery, 2023. doi: 10.1145/3588015.3589841.
    4. N. Doerr, K. Angerbauer, M. Reinelt, and M. Sedlmair, “Bees, Birds and Butterflies: Investigating the Influence of Distractors on Visual Attention Guidance Techniques,” in Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, in CHI EA ’23. New York, NY, USA: Association for Computing Machinery, 2023. doi: 10.1145/3544549.3585816.
    5. J. Eirich et al., “ManuKnowVis: How to Support Different User Groups in Contextualizing and Leveraging Knowledge Repositories,” IEEE Transactions on Visualization and Computer Graphics, vol. 29, Art. no. 8, 2023, [Online]. Available: https://ieeexplore.ieee.org/document/10155238
    6. P. Gebhardt et al., “Auxiliary Means to Improve Motion Guidance Memorability in Extended Reality,” in 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE, Mar. 2023. doi: 10.1109/vrw58643.2023.00187.
    7. F. Heyen, Q. Q. Ngo, and M. Sedlmair, “Visual Overviews for Sheet Music Structure,” in Proceedings of the 24th International Society for Music Information Retrieval Conference (ISMIR) 2023, ISMIR, Dec. 2023, pp. 692–699. doi: 10.5281/zenodo.10265383.
    8. C. Morariu, A. Bibal, R. Cutura, B. Frénay, and M. Sedlmair, “Predicting User Preferences of Dimensionality Reduction Embedding Quality,” IEEE Transactions on Visualization and Computer Graphics, vol. 29, Art. no. 1, 2023, [Online]. Available: https://ieeexplore.ieee.org/document/9904619
    9. N. Pathmanathan, S. Öney, M. Becher, M. Sedlmair, D. Weiskopf, and K. Kurzhals, “Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments,” Computer Graphics Forum, vol. 42, Art. no. 3, 2023, doi: 10.1111/cgf.14838.
    10. S. Rigling, X. Yu, and M. Sedlmair, ““In Your Face!”: Visualizing Fitness Tracker Data in Augmented Reality,” in Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, 2023. doi: 10.1145/3544549.3585912.
    11. A. Sayara, B. Lee, C. Quijano-Chavez, and M. Sedlmair, “Designing Situated Dashboards: Challenges and Opportunities.” IEEE, Los Alamitos, CA, USA, pp. 97–102, Oct. 2023. doi: 10.1109/ismar-adjunct60411.2023.00028.
    12. M. Wieland, M. Sedlmair, and T.-K. Machulla, “VR, Gaze, and Visual Impairment: An Exploratory Study of the Perception of Eye Contact across Different Sensory Modalities for People with Visual Impairments in Virtual Reality,” in Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, 2023. doi: 10.1145/3544549.3585726.
    13. A.-K. Wortmeier, A. Sousa Calepso, C. Kropp, M. Sedlmair, and D. Weiskopf, “Configuring augmented reality users: analysing YouTube commercials to understand industry expectations,” Behaviour & Information Technology, vol. 0, Art. no. 0, Jan. 2023, doi: 10.1080/0144929X.2022.2163693.
    14. S. Öney, N. Pathmanathan, M. Becher, M. Sedlmair, D. Weiskopf, and K. Kurzhals, “Visual Gaze Labeling for Augmented Reality Studies,” Computer Graphics Forum, vol. 42, Art. no. 3, 2023, doi: 10.1111/cgf14837.

  4. 2022

    1. M. Abdelaal et al., “Visualization for Architecture, Engineering, and Construction: Shaping the Future of Our Built World,” IEEE Computer Graphics and Applications, vol. 42, Art. no. 2, Mar. 2022, doi: 10.1109/MCG.2022.3149837.
    2. A. Achberger, P. Arulrajah, M. Sedlmair, and K. Vidačković, “STROE: An Ungrounded String-Based Weight Simulation Device,” in IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2022, pp. 112–120.
    3. A. Achberger, F. Heyen, K. Vidačković, and M. Sedlmair, “Touching data with PropellerHand,” Journal of Visualization, 2022, doi: 10.1007/s12650-022-00859-2.
    4. K. Angerbauer et al., “Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures,” in Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, in CHI ’22. New York, NY, USA: Association for Computing Machinery, 2022. doi: 10.1145/3491102.3502133.
    5. S. Dosdall, K. Angerbauer, L. Merino, M. Sedlmair, and D. Weiskopf, “Toward In-Situ Authoring of Situated Visualization with Chorded Keyboards,” in 15th International Symposium on Visual Information Communication and Interaction, VINCI 2022, Chur, Switzerland, August 16-18, 2022, M. Burch, G. Wallner, and D. Limberger, Eds., ACM, Aug. 2022, pp. 1–5. doi: 10.1145/3554944.3554970.
    6. L. Eirich, M. Münch, D. Jäckle, M. Sedlmair, J. Bonart, and T. Schreck, “RfX: A Design Study for the Interactive Exploration of a Random Forest to Enhance Testing Procedures for Electrical Engines,” Computer Graphics Forum, p. 14, 2022, doi: 10.1111/cgf.14452.
    7. P. Fleck, A. Sousa Calepso, S. Hubenschmid, M. Sedlmair, and D. Schmalstieg, “RagRug: A Toolkit for Situated Analytics,” IEEE Transactions on Visualization and Computer Graphics, 2022, [Online]. Available: https://pubmed.ncbi.nlm.nih.gov/35254986/
    8. P. Gebhardt, X. Yu, A. Köhn, and M. Sedlmair, “MolecuSense: Using Force-Feedback Gloves for Creating and Interacting with Ball-and-Stick Molecules in VR,” in Proceedings of the 15th International Symposium on Visual Information Communication and Interaction, New York, NY, USA: ACM, 2022, pp. 1–5. doi: 10.1145/3554944.3554956.
    9. F. Heyen, D. Aygün, and M. Sedlmair, “A Web-Based MIDI Controller for Music Live Coding.” 2022. [Online]. Available: https://ismir2022program.ismir.net/lbd_379.html
    10. F. Heyen, Y. Kohler, S. Triebener, S. Rigling, and M. Sedlmair, “Immersive Visual Analysis of Cello Bow Movements.” 2022.
    11. F. Heyen, Q. Q. Ngo, K. Kurzhals, and M. Sedlmair, “Data-Driven Visual Reflection on Music Instrument Practice,” in ACM CHI Workshop on Intelligent Music Interfaces (IMI), ACM, 2022. doi: 10.48550/arxiv.2203.13320.
    12. F. Heyen and M. Sedlmair, “Augmented Reality Visualization for Musical Instrument Learning.” 2022. [Online]. Available: https://ismir2022program.ismir.net/lbd_376.html
    13. N. Hube, A. Achberger, P. Liepert, J. Vogelsang, K. Vidačković, and M. Sedlmair, “Study on the Influence of Upper Limb Representations and Haptic Feedback in Virtual Reality,” in 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022, pp. 802–807. [Online]. Available: https://ieeexplore.ieee.org/document/9974563
    14. N. Hube, K. Vidačković, and M. Sedlmair, “Using Expressive Avatars to Increase Emotion Recognition: A Pilot Study,” in Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (CHIEA′22), New York, NY, USA: Association for Computing Machinery, 2022.
    15. K. Klein, M. Sedlmair, and F. Schreiber, “Immersive Analytics: An Overview,” it - Information Technology, vol. 64, pp. 155–168, 2022, doi: 10.1515/itit-2022-0037.
    16. Q. Q. Ngo, F. L. Dennig, D. A. Keim, and M. Sedlmair, “Machine Learning Meets Visualization – Experiences and Lessons Learned,” it - Information Technology, vol. 64, pp. 169–180, 2022, doi: 10.1515/itit-2022-0034.
    17. S. Rau, F. Heyen, S. Wagner, and M. Sedlmair, “Visualization for AI-Assisted Composing,” in Proceedings of the 23rd International Society for Music Information Retrieval Conference, Bengaluru, India: ISMIR, Dec. 2022, pp. 151–159. doi: 10.5281/zenodo.7316618.
    18. G. Richer, A. Pister, M. Abdelaal, J.-D. Fekete, M. Sedlmair, and D. Weiskopf, “Scalability in Visualization,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–15, 2022.
    19. L. R. Skreinig et al., “AR Hero: Generating Interactive Augmented Reality Guitar Tutorials,” in 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE, 2022, pp. 395–401. doi: 10.1109/VRW55335.2022.0008.
    20. A. Sousa Calepso, N. Hube, N. Berenguel Senn, V. Brandt, and M. Sedlmair, “cARdLearner: Using expressive Virtual Agents when learning vocabulary in Augmented Reality,” ACM, 2022.
    21. G. Tkachev, R. Cutura, M. Sedlmair, S. Frey, and T. Ertl, “Metaphorical Visualization: Mapping Data to Familiar Concepts,” in CHI Conference on Human Factors in Computing Systems Extended Abstracts, ACM, Apr. 2022, pp. 1–10. doi: 10.1145/3491101.3516393.

  5. 2021

    1. M. M. Abbas, E. Ullah, A. Baggag, H. Bensmail, M. Sedlmair, and M. Aupetit, “ClustRank: A Visual Quality Measure Trained on Perceptual Data for Sorting Scatterplots by Cluster Patterns,” 2021. [Online]. Available: https://arxiv.org/pdf/2106.00599.pdf
    2. A. Achberger, F. Aust, D. Pohlandt, K. Vidačković, and M. Sedlmair, “STRIVE: String-Based Force Feedback for Automotive Engineering,” in ACM Symposium on User Interface Software and Technology (UIST), 2021, pp. 841–853. doi: 10.1145/3472749.3474790.
    3. A. Achberger, F. Heyen, K. Vidačković, and M. Sedlmair, “PropellerHand: A Hand-Mounted, Propeller-Based Force Feedback Device,” in International Symposium on Visual Information Communication and Interaction (VINCI), ACM, 2021, pp. 4:1–4:8. doi: 10.1145/3481549.3481563.
    4. J. Bernard, M. Hutter, M. Sedlmair, M. Zeppelzauer, and T. Munzner, “A Taxonomy of Property Measures to Unify Active Learning and Human-centered Approaches to Data Labeling,” ACM Transactions on Interactive Intelligent Systems (TiiS), vol. 11, pp. 1–42, 2021, doi: 10.1145/3439333.
    5. J. Bernard, M. Hutter, M. Zeppelzauer, M. Sedlmair, and T. Munzner, “ProSeCo: Visual analysis of class separation measures and dataset characteristics,” Computers & Graphics, vol. 96, pp. 48–60, 2021, [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0097849321000406
    6. C. Bu et al., “SineStream: Improving the Readability of Streamgraphs by Minimizing Sine Illusion Effects,” IEEE Transactions on Visualization and Computer Graphics, vol. 27, Art. no. 2, 2021, [Online]. Available: https://ieeexplore.ieee.org/document/9222035
    7. J. Chen et al., “VIS30K: A collection of figures and tables from IEEE visualization conference publications,” IEEE Transactions on Visualization and Computer Graphics, vol. 27, Art. no. 9, 2021, doi: 10.1109/TVCG.2021.3054916.
    8. R. Cutura, K. Angerbauer, F. Heyen, N. Hube, and M. Sedlmair, “DaRt: Generative Art using Dimensionality Reduction Algorithms,” in 2021 IEEE VIS Arts Program (VISAP), IEEE, 2021, pp. 59–72. [Online]. Available: https://ieeexplore.ieee.org/document/9622987
    9. R. Cutura, C. Morariu, Z. Cheng, Y. Wang, D. Weiskopf, and M. Sedlmair, “Hagrid — Gridify Scatterplots with Hilbert and Gosper Curves,” in The 14th International Symposium on Visual Information Communication and Interaction, in VINCI 2021. New York, NY, USA: Association for Computing Machinery, 2021, p. 1:1—1:8. doi: 10.1145/3481549.3481569.
    10. J. Eirich et al., “IRVINE: A Design Study on Analyzing Correlation Patterns of Electrical Engines,” IEEE Trans. Visualization and Computer Graphics (TVCG, Proc. VIS 2021), 2021, doi: 10.1109/TVCG.2021.3114797.
    11. N. Grossmann, J. Bernard, M. Sedlmair, and M. Waldner, “Does the Layout Really Matter? A Study on Visual Model Accuracy Estimation,” in IEEE Visualization Conference (VIS, Short Paper), 2021, pp. 61–65. [Online]. Available: https://arxiv.org/abs/2110.07188
    12. N. Hube, K. Angerbauer, D. Pohlandt, K. Vidačković, and M. Sedlmair, “VR Collaboration in Large Companies: An Interview Study on the Role of Avatars,” in IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), IEEE, 2021, pp. 139–144. doi: 10.1109/ISMAR-Adjunct54149.2021.00037.
    13. M. Kraus, K. Klein, J. Fuchs, D. A. Keim, F. Schreiber, and M. Sedlmair, “The Value of Immersive Visualization,” IEEE Computer Graphics and Applications (CG&A), vol. 41, Art. no. 4, 2021, doi: 10.1109/MCG.2021.3075258.
    14. C. Krauter, J. Vogelsang, A. Sousa Calepso, K. Angerbauer, and M. Sedlmair, “Don’t Catch It: An Interactive Virtual-Reality Environment to Learn About COVID-19 Measures Using Gamification Elements,” in Mensch und Computer, ACM, 2021, pp. 593–596. doi: 10.1145/3473856.3474031.
    15. M. Ling et al., “Document Domain Randomization for Deep Learning Document Layout Extraction,” in Document Analysis and Recognition (ICDAR), Springer International Publishing, 2021, pp. 497–513. [Online]. Available: https://arxiv.org/abs/2105.14931
    16. K. Lu et al., “Palettailor: Discriminable Colorization for Categorical Data,” IEEE Transactions on Visualization & Computer Graphics, vol. 27, Art. no. 2, Feb. 2021, [Online]. Available: https://ieeexplore.ieee.org/document/9222351
    17. C. Morariu, A. Bibal, R. Cutura, B. Frénay, and M. Sedlmair, “DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection Quality,” 2021. [Online]. Available: https://arxiv.org/abs/2105.09275
    18. S. Rau, F. Heyen, and M. Sedlmair, “Visual Support for Human-AI Co-Composition,” in Extended Abstracts for the Late-Breaking Demo Session of the 22nd Int. Society for Music Information Retrieval Conf. (ISMIR), ISMIR, Nov. 2021. [Online]. Available: https://archives.ismir.net/ismir2021/latebreaking/000014.pdf
    19. G. J. Rijken et al., “Illegible Semantics: Exploring the Design Space of Metal Logos,” in IEEE VIS alt.VIS Workshop, 2021. [Online]. Available: https://arxiv.org/abs/2109.01688
    20. K. Schatz et al., “2019 IEEE Scientific Visualization Contest Winner: Visual Analysis of Structure Formation in Cosmic Evolution,” IEEE Computer Graphics and Applications, vol. 41, Art. no. 6, 2021, doi: 10.1109/MCG.2020.3004613.
    21. M. Waldner, T. Geymayer, D. Schmalstieg, and M. Sedlmair, “Linking unstructured evidence to structured observations,” Information Visualization, vol. 20, Art. no. 1, Jan. 2021, doi: 10.1177/1473871620986249.

  6. 2020

    1. A. Achberger, R. Cutura, O. Türksoy, and M. Sedlmair, “Caarvida: Visual Analytics for Test Drive Videos,” in Proceedings of the International Conference on Advanced Visual Interfaces, 2020, pp. 1–9. doi: 10.1145/3399715.3399862.
    2. P. Balestrucci et al., “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), IEEE, 2020, pp. 11–18. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/9307759
    3. J. Bernard, M. Hutter, M. Zeppelzauer, M. Sedlmair, and T. Munzner, “SepEx: Visual Analysis of Class Separation Measures,” in Proceedings of the International Workshop on Visual Analytics (EuroVA), C. Turkay and K. Vrotsou, Eds., The Eurographics Association, 2020, pp. 1–5. doi: 10.2312/eurova.20201079.
    4. N. Boukhelifa et al., “Challenges in Evaluating Interactive Visual Machine Learning Systems,” IEEE Computer Graphics and Applications, vol. 40, Art. no. 6, 2020, [Online]. Available: https://ieeexplore.ieee.org/document/9238590
    5. F. Heyen et al., “ClaVis: An Interactive Visual Comparison System for Classifiers,” in Proceedings of the International Conference on Advanced Visual Interfaces (AVI), in AVI ’20. New York, NY, USA: Association for Computing Machinery, 2020, pp. 9:1–9:9. doi: 10.1145/3399715.3399814.
    6. N. Hube, O. Lenz, L. Engeln, R. Groh, and M. Sedlmair, “Comparing Methods for Mapping Facial Expressions to Enhance Immersive Collaboration with Signs of Emotion,” in IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), IEEE, 2020, pp. 30–35.
    7. M. Kraus et al., “Assessing 2D and 3D Heatmaps for Comparative Analysis: An Empirical Study,” in Proceedings of the CHI Conference on Human Factors in Computing Systems, 2020, pp. 546:1–546:14. doi: 10.1145/3313831.3376675.
    8. M. Kraus et al., “A Comparative Study of Orientation Support Tools in Virtual Reality Environments with Virtual Teleportation,” in 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2020, pp. 227–238. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/9284697
    9. K. Kurzhals, F. Göbel, K. Angerbauer, M. Sedlmair, and M. Raubal, “A View on the Viewer: Gaze-Adaptive Captions for Videos,” in Proceedings of the CHI Conference on Human Factors in Computing Systems, 2020, pp. 139:1–139:12. doi: 10.1145/3313831.3376266.
    10. L. Merino, M. Schwarzl, M. Kraus, M. Sedlmair, D. Schmalstieg, and D. Weiskopf, “Evaluating Mixed and Augmented Reality: A Systematic Literature Review (2009 – 2019),” in IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2020. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/9284762
    11. L. Merino et al., “Toward Agile Situated Visualization: An Exploratory User Study,” in Proceedings of the CHI Conference on Human Factors in Computing Systems-Extended Abstracts (CHI-EA), 2020, pp. LBW087:1–LBW087:7. doi: 10.1145/3334480.3383017.
    12. N. Pathmanathan et al., “Eye vs. Head: Comparing Gaze Methods for Interaction in Augmented Reality,” in Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), ACM, 2020, pp. 50:1–50:5. doi: 10.1145/3379156.3391829.
    13. A. Streichert, K. Angerbauer, M. Schwarzl, and M. Sedlmair, “Comparing Input Modalities for Shape Drawing Tasks,” in Proceedings of the Symposium on Eye Tracking Research & Applications-Short Papers (ETRA-SP), in ETRA ’20 Short Papers. ACM, 2020, pp. 1–5. doi: 10.1145/3379156.3391830.
    14. M. Weiß, K. Angerbauer, A. Voit, M. Schwarzl, M. Sedlmair, and S. Mayer, “Revisited: Comparison of Empirical Methods to Evaluate Visualizations Supporting Crafting and Assembly Purposes,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–10, 2020, [Online]. Available: https://ieeexplore.ieee.org/document/9225008
    15. X. Yu, K. Angerbauer, P. Mohr, D. Kalkofen, and M. Sedlmair, “Perspective Matters: Design Implications for Motion Guidance in Mixed Reality,” in 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), IEEE, 2020, pp. 577–587. doi: 10.1109/ismar50242.2020.00085.
    16. S. Öney et al., “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), ACM, 2020, pp. 49:1–49:5. doi: 10.1145/3379156.3391835.

  7. 2019

    1. M. M. Abbas, M. Aupetit, M. Sedlmair, and H. Bensmail, “ClustMe: A Visual Quality Measure for Ranking Monochrome Scatterplots based on Cluster Patterns.,” Comput. Graph. Forum, vol. 38, Art. no. 3, 2019, [Online]. Available: http://dblp.uni-trier.de/db/journals/cgf/cgf38.html#AbbasASB19
    2. M. Aupetit, M. Sedlmair, M. M. Abbas, A. Baggag, and H. Bensmail, “Toward Perception-based Evaluation of Clustering Techniques for Visual Analytics,” in Proceedings of the IEEE Visualization Conference (VIS), IEEE, 2019, pp. 141–145. [Online]. Available: https://ieeexplore.ieee.org/document/8933620
    3. J. Bernard, M. Hutter, C. Ritter, M. Lehmann, M. Sedlmair, and M. Zeppelzauer, “Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling,” in Proceedings of the International Workshop on Visual Analytics (EuroVA), T. von Landesberger and C. Turkay, Eds., Eurographics Association, 2019, pp. 1–5. doi: 10.2312/eurova.20191116.
    4. U. Brandes and M. Sedlmair, “Network Visualization,” in Network Science: An Aerial View, F. Biagini, G. Kauermann, and T. Meyer-Brandis, Eds., Cham: Springer International Publishing, 2019, pp. 5–21. doi: 10.1007/978-3-030-26814-5_2.
    5. C. Schulz et al., “A Framework for Pervasive Visual Deficiency Simulation,” in Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019, pp. 1852–1857. [Online]. Available: https://ieeexplore.ieee.org/document/9044164
    6. S. Sippl, M. Sedlmair, and M. Waldner, “Collecting and Structuring Information in the Information Collage,” Technical Report, CoRR, pp. 1–21, 2019, [Online]. Available: https://arxiv.org/abs/1909.00608
    7. F. Sperrle, J. Bernard, M. Sedlmair, D. A. Keim, and M. El-Assady, “Speculative Execution for Guided Visual Analytics,” Workshop forWorkshop for Machine Learning from User Interaction for Visualization and Analytics at IEEE VIS, 2018, 2019, [Online]. Available: http://dblp.uni-trier.de/db/journals/corr/corr1908.html#abs-1908-02627
    8. C. Stoiber et al., “netflower: Dynamic Network Visualization for Data Journalists.,” Comput. Graph. Forum, vol. 38, Art. no. 3, 2019, [Online]. Available: http://dblp.uni-trier.de/db/journals/cgf/cgf38.html#StoiberRGGGSEA19
    9. Y. Wang et al., “Optimizing Color Assignment for Perception of Class Separability in Multiclass Scatterplots,” IEEE Transactions on Visualization and Computer Graphics, vol. 25, Art. no. 1, 2019.
    10. Y. Wang et al., “Structure-aware Fisheye Views for Efficient Large Graph Exploration,” IEEE Transactions on Visualization and Computer Graphics, vol. 25, Art. no. 1, 2019, [Online]. Available: http://dblp.uni-trier.de/db/journals/tvcg/tvcg25.html#WangWZSFSCD19
    11. Y. Wang et al., “Improving the Robustness of Scagnostics,” IEEE Transactions on Visualization and Computer Graphics, vol. 26, Art. no. 1, 2019, [Online]. Available: https://ieeexplore.ieee.org/document/8807247
    12. M. Zhao, H. Qu, and M. Sedlmair, “Neighborhood Perception in Bar Charts.,” in Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), S. A. Brewster, G. Fitzpatrick, A. L. Cox, and V. Kostakos, Eds., ACM, 2019, p. 232. [Online]. Available: http://dblp.uni-trier.de/db/conf/chi/chi2019.html#ZhaoQS19

  8. 2018

    1. J. Bernard, M. Zeppelzauer, M. Lehmann, M. Müller, and M. Sedlmair, “Towards User-Centered Active Learning Algorithms,” Computer Graphics Forum, vol. 37, Art. no. 3, 2018, [Online]. Available: http://dblp.uni-trier.de/db/journals/cgf/cgf37.html#BernardZLMS18

2018

 

Leilani Battle, Marco Angelini, Carsten Binnig, Tiziana Catarci, Philipp Eichmann, Jean-Daniel Fekete, Giuseppe Santucci, Michael Sedlmair, Wesley Willett.
Evaluating Visual Data Analysis Systems: A Discussion Report.
In Proceedings of the Workshop on Human-In-the-Loop Data Analytics (HILDA'18), ACM, 2018.
pdf

Thomas Torsney-Weir, Torsten Möller, Michael Sedlmair, Mike Kirby.
Hypersliceplorer: Interactive Visualization of Shapes in Multiple Dimensions.
In Computer Graphics Forum (Proc. EuroVis 2018), 37(3): 229-240, 2018.
pdf, video

Jürgen Bernard, Marco Hutter, Markus Lehmann, Martin Müller, Matthias Zeppelzauer, Michael Sedlmair.
Learning from the Best – Visual Analysis of Quasi-Optimal Data Labeling Strategies.
EuroVis 2018 - short papers. 2018.
pdf, suppl. material (pdf)

Rene Cutura, Stefan Holzer, Michael Aupetit, Michael Sedlmair.
VisCoDeR: A Tool for Visually Comparing Dimensionality Reduction Algorithms.
In Proceedings of European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2018.
pdf, video, tool

Jürgen Bernard, Matthias Zeppelzauer, Michael Sedlmair, Wolfgang Aigner.
VIAL – A Unified Process for Visual-Interactive Labeling.
In The Visual Computer (Special Issue EuroVA), 34(9): 189-1207, 2018.
preprint

Elena Rudkowsky, Martin Haselmayer, Matthias Wastian, Marcelo Jenny, Stefan Emrich, Michael Sedlmair.
More than Bags of Words: Sentiment Analysis with Word Embeddings.
In Communication Methods and Measures, 12(2-3): 140-157, 2018.
preprint, final version on Tayolor & Francis

Yunhai Wang, Xiaowei Chu, Chen Bao, Lifeng Zhu, Oliver Deussen, Baoquan Chen, Michael Sedlmair.
EdWordle: Consistency-preserving Word Cloud Editing.
In IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 2017), 24(1): 647-656, 2018.
pdf, video

Yunhai Wang, Yanyan Wang, Yinqi Sun, Lifeng Zhu, Kecheng Lu, Chi-Wing Fu, Michael Sedlmair, Oliver Deussen, Baoquan Chen.
Revisiting Stress Majorization as a Unified Framework for Interactive Constrained Graph Visualization.
In IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 2017), 24(1): 489-499, 2018.
pdf, video

Jürgen Bernard, Marco Hutter, Matthias Zeppelzauer, Dieter Fellner, Michael Sedlmair.
Comparing Visual-Interactive Labeling with Active Learning: An Experimental Study.
In IEEE Transactions on Visualization and Computer Graphics (Proc. VAST 2017), 24(1): 298-308, 2018.
pdf, video, 30s video

2017

Michael Oppermann, Torsten Möller, Michael Sedlmair.
Bike Sharing Atlas: Visual Analysis of Bike-Sharing Networks.
In International Journal of Transportation, to appear.
pdf, video, bikesharingatlas.org

André Calero Valdez, Martina Ziefle, Michael Sedlmair.
A Framework for Studying Biases in Visualization Research.
IEEE VIS Workshop on Dealing with Cognitive Biases in Visualisations (DECISIVe 2017).
pdf

Elena Rudkowsky, Martin Haselmayer, Matthias Wastian, Marcelo Jenny, Stefan Emrich, Michael Sedlmair.
Supervised Sentiment Analysis of Parliamentary Speeches and News Reports.
67th Annual Conference of the International Communication Association (ICA), Panel on ‘ Automatic Sentiment Analysis’, 25-29 May 2017.
pdf

Marcelo Jenny, Martin Haselmayer, Elena Rudkowsky, Matthias Wastian, Stefan Emrich, Michael Sedlmair.
Incivility in Austrian parliamentary debates: A supervised sentiment analysis of parliamentary speeches.
Workshop Political Incivility in Parliament, ECPR Joint Sessions of Workshop, Nottingham, 25-30 April 2017.
pdf

Dominik Sacha, Michael Sedlmair, Leishi Zhang, John A. Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, and Daniel A. Keim.
What You See Is What You Can Change: Human-Centered Machine Learning By Interactive Visualization.
Neurocomputing, 268: 164-175, 2017.
pdf, html version

Jüregen Bernard, Eduard Dobermann, Michael Sedlmair, and Dieter Fellner.
Combining Cluster and Outlier Analysis with Visual Analytics.
In Proc. EuroVis Workshop on Visual Analytics (EuroVA), 2017.
pdf

Jüregen Bernard, Matthias Zeppelzauer, Michael Sedlmair, and Wolfgang Aigner.
A Unified Process for Visual-Interactive Labeling.
In Proc. EuroVis Workshop on Visual Analytics (EuroVA), 2017.
pdf

Thomas Torsney-Weir, Michael Sedlmair, Torsten Möller.
Sliceplorer: 1D Slices for Multi-dimensional Continuous Functions.
In Computer Graphics Forum (Proc. EuroVis 2017), 36(3): 167-177, 2017.
pdf, evaluation page, youtube video

Petra Isenberg, Florian Heimerl, Steffen Koch, Tobias Isenberg, Panpan Xu, Chad Stolper, Michael Sedlmair, Jian Chen, Torsten Möller, John Stasko.
vispubdata.org: A Metadata Collection about IEEE Visualization (VIS) Publications.
In IEEE Transactions on Visualization and Computer Graphics (TVCG), 23(9): 2199-2206, 2017.
pdf

Dominik Sacha, Leishi Zhang, Michael Sedlmair, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen North, and Daniel A. Keim.
Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis.
In IEEE Transactions on Visualization and Computer Graphics (Proc. VAST 2016), 23(1): 241-250, 2017.
pdf

Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Jian Chen, Möller Torsten.
Visualization as seen through its research paper keywords.
In IEEE Transactions on Visualization and Computer Graphics (Proc. SciVis 2016), 23(1): 771-780, 2017.
pdf, suppl. material (pdf), suppl. material (zip)

2016

Michael Sedlmair.
Design study contributions come in different guises: Seven guiding scenarios.
In Proceedings of the IEEE VIS Workshop Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV). ACM Press, 2016.
pdf

Renate Motschnig, Michael Sedlmair, Svenja Schröder, Torsten Möller.
A team-approach to putting learner-centered principles to practice in a large course on Human-Computer Interaction.
In Proceedings of IEEE Frontiers in Education Conference (FIE), 2016.
pdf

Christina Niederer, Alexander Rind, Wolfgang Aigner, Julian Ausserhofer, Robert Gutounig, Michael Sedlmair.
Visual Exploration of Media Transparency for Data Journalists: Problem Characterization and Abstraction.
In Proceedings of Forschungforum der Östereichischen Fachhochschulen (FFH), 2016.
pdf

Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Lee, Daniel Weiskopf, Stephen North, Daniel A. Keim.
Human-centered machine learning through interactive visualization: review and open challenges.
In Proceedings of European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2016.
pdf

Michaël Aupetit, Michael Sedlmair.
SepMe: 2002 New Visual Separation Measures.
In Proceedings of IEEE Pacific Visualization Symposium (PacificVis), 2016.
pdf

Hund, D. Böhm, W. Sturm, M. Sedlmair, T. Schreck, T. Ullrich, D. A. Keim, L. Majnaric, A. Holzinger.
Visual Analytics for Concept Exploration in Subspaces of Patient Groups: Making Sense of Complex Datasets with the Doctor-in-the-Loop.
Brain Informatics, 3(4): 233-247, 2016.
pdf, doi

Mohsen Kamalzadeh, Christoph Kralj, Torsten Möller, Michael Sedlmair.
TagFlip: Active Mobile Music Discovery with Social Tags.
In Proceedings of the 21st International Conference on Intelligent User Interfaces (IUI), 2016.
Best Student Paper Award.
pdf, supplemental material (zip), 30s video

2015

Thomas Torsney-Weir, Michael Sedlmair, Torsten Möller.
Decision making in uncertainty visualization.
In IEEE VIS Workshop on Visualization for Decision Making under Uncertainty (VDMU), 2015.
pdf

Michael Hund, Michael Behrisch, Ines Färber, Michael Sedlmair, Tobias Schreck, Thomas Seidl, Daniel A. Keim.
Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion.
In Proceedings of the Similarity Search and Applications Conference (SISAP).
pdf, bib

Michael Sedlmair, Michaël Aupetit
Data-driven Evaluation of Visual Quality Measures.
In Computer Graphics Forum (Proc. EuroVis 2015), 34(3): 201-210, 2015.
pdf

Svenja Simon, Sebastian Mittelstädt, Daniel A. Keim, Michael Sedlmair.
Bridging the Gap of Domain and Visualization Experts with a Liaison.
Proc. of Eurographics Conference on Visualization (EuroVis 2015, Short Paper), 2015.
pdf

2014

Matthew Brehmer, Michael Sedlmair, Stephen Ingram, Tamara Munzner
Visualizing Dimensionally-Reduced Data: Interviews with Analysts and a Characterization of Task Sequences.
In Proceedings of the VIS Workshop Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV), 2014.
pdf

Michael Sedlmair, Christoph Heinzl, Stefan Bruckner, Harald Piringer, Torsten Möller
Visual Parameter Space Analysis: A Conceptual Framework.
In IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 2014), 20(12): 2161-2170, 2014.
pdf, supplemental material, 30s video

Thomas Mühlbacher, Harald Piringer, Samuel Gratzl, Michael Sedlmair, Marc Streit
Opening the Black Box: Strategies for Increased User Involvement in Existing Algorithm Implementations.
In IEEE Transactions on Visualization and Computer Graphics (Proc. VAST 2014), 20(12): 1643-1652, 2014.
pdf, 30s video

Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Jian Chen, Torsten Möller
Toward a deeper understanding of Visualization through keyword analysis.
Technical Report, Inria Research Report Number 8580, August 2014.
pdf, TR page

2013

Miriah Meyer, Michael Sedlmair, P. Samuel Quinan, Tamara Munzner
The Nested Blocks and Guidelines Model.
In Journal of Information Visualization, Special Issue on Evaluation (BELIV), 14(3), 2015. Published online before print Dec, 2013.
pdf, paper page

Michael Sedlmair, Tamara Munzner, Melanie Tory
Empirical Guidance on Scatterplot and Dimension Reduction Technique Choices.
In IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 2013), 19(12): 2634-2643, 2013.
pdf, paper page

Tobias Isenberg, Petra Isenberg, Jian Chen, Michael Sedlmair, Torsten Möller
A Systematic Review on the Practice of Evaluating Visualization.
In IEEE Transactions on Visualization and Computer Graphics (Proc. SciVis 2013), 19(12): 2818-2827, 2013.
pdf, paper page

Steven Bergner, Michael Sedlmair, Torsten Möller, Sareh Nabi Abdolyousefi, Ahmed Saad
Paraglide: Interactive Parameter Space Partitioning for Computer Simulations
In IEEE Transactions on Visualization and Computer Graphics (TVCG), 19(9): 1499–1512, 2013.
pdf, bib

2012

Miriah Meyer, Michael Sedlmair, Tamara Munzner
The Four-Level Nested Model Revisited: Blocks and Guidelines
In Proceedings of the VisWeek Workshop Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV), 2012.
pdf, paper page

Michael Sedlmair, Miriah Meyer, Tamara Munzner
Design Study Methodology: Reflections from the Trenches and the Stacks
In IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 2012), 18(12): 2431–2440, 2012.
Honorable Mention for Best Paper Award.
pdf, paper page

Michael Sedlmair, Annika Frank, Tamara Munzner, Andreas Butz
RelEx: Visualization for Actively Changing Overlay Network Specifications
In IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 2012), 18(12): 2729–2738, 2012.
pdf, paper page

Michael Sedlmair, Matt Brehmer, Stephen Ingram, Tamara Munzner
Dimensionality Reduction in the Wild: Gaps and Guidance
UBC Computer Science Technical Report TR-2012-03, June 2012.
pdf, TR page

Michael Sedlmair, Andrada Tatu, Tamara Munzner, Melanie Tory
A Taxonomy of Visual Cluster Separation Factors
In Computer Graphics Forum (Proc. EuroVis 2012), 31(3): 1335-1344, 2012.
pdf, paper page

2011

Michael Sedlmair, Michael Schraut, Wolfgang Hintermaier
Visualisierung von Busdaten – Fehleranalyse im Forschungsprojekt AutobahnVis
In Journal of Automobil Elektronik, vol. 4: 20-23, 2011.
pdf, bib (german paper, online version available via www.all-electronics.de)

Michael Sedlmair, Petra Isenberg, Dominikus Baur, Andreas Butz
Information Visualization Evaluation in Large Companies: Challenges, Experiences and Recommendations
In Journal of Information Visualization, Special Issue on Evaluation (BELIV), 10(3): 248-266, 2011.
pdf, bib (pre-print, final version available via www.palgrave-journals.com)

Steven Bergner, Michael Sedlmair, Sareh Nabi Abdolyousefi, Ahmed Saad, Torsten Möller
Paraglide: Interactive Parameter Space Partitioning for Computer Simulations
ARXIV Technical Report arXiv:1110.5181, Oct 2011.
TR page

Michael Sedlmair, Petra Isenberg, Dominikus Baur, Michael Mauerer, Christian Pigorsch, Andreas Butz
Cardiogram: Visual Analytics for Automotive Engineers
In Proceedings of the 29th ACM International Conference on Human Factors in Computing Systems (CHI), 2011.
pdf, bib, video

2010

Michael Sedlmair
Visual Analysis of In-Car Communication Networks
PhD Thesis, Faculty of Mathematics, Computer Science and Statistics, University of Munich, 2010.
pdf, bib

Dominikus Baur, Frederik Seiffert, Michael Sedlmair, Sebastian Boring
The Streams of Our Lives: Visualizing Listening Histories in Context
In IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 2010), 16(6): 1119-1128, 2010.
pdf, bib, video

Petra Isenberg, Michael Sedlmair, Dominikus Baur, Tobias Isenberg, Andreas Butz
Collaborative Visualization on Interactive Surfaces - CoVIS '09
Technical Report, LMU-MI-2010-2, April 2010, ISSN 1862-5207: Collaborative Visualization on Interactive Surface - CoVIS '09, Workshop at Visweek 2009
pdf, bib

Dominikus Baur, Michael Sedlmair, Raphael Wimmer, Yaxi Chen, Sara Streng, Sebastian Boring, Alexander De Luca, Andreas Butz
Trends in Information Visualization
Technical Report, LMU-MI-2010-1, April 2010, ISSN 1862-5207: Media Informatics Advanced Seminar, Winter Term 2008/2009.
pdf, bib

Michael Sedlmair, Petra Isenberg, Dominikus Baur, Andreas Butz
Evaluating Information Visualization in Large Companies: Challenges, Experiences and Recommendations
Proceedings of the CHI Workshop Beyond Time and Errors: Novel Evaluation Methods for Information Visualization (BELIV), 2010.
Best Paper Award.
pdf, bib

2009

Michael Sedlmair, Christian Berhold, Daniel Herrscher, Sebastian Boring, Andreas Butz
MostVis: An Interactive Visualization Supporting Automotive Engineers in MOST Catalog Exploration
In Proceedings of the 13th International Conference on Information Visualization (IV), 2009.
pdf, bib, video

Michael Sedlmair, Benjamin Kunze, Wolfgang Hintermaier, Andreas Butz
User-centered Development of a Visual Exploration System for In-Car Communication
In Proceedings of the 9th International Symposium on Smart Graphics (SG), 2009.
pdf, bib, video

Michael Sedlmair, Kerstin Ruhland, Fabian Hennecke, Andreas Butz, Susan Bioletti, Carol O'Sullivan
Towards the Big Picture: Enriching 3D Models with Information Visualisation and Vice Versa
In Proceedings of the 9th International Symposium on Smart Graphics (SG), 2009.
pdf, bib, video

Kerstin Ruhland, Michael Sedlmair, Susan Bioletti, Carol O'Sullivan
LibViz: Data Visualisation of the Old Library
In International Journal of Architectural Computing, 7(1): 177-192, 2009.
pdf, bib, video

2008

Michael Sedlmair, Dominikus Baur, Sebastian Boring, Petra Isenberg, Marko Jurmu, Andreas Butz
Requirements for a MDE System to Support Collaborative In-Car Communication Diagnostics
International CSCW Workshop Beyond the Laboratory: Supporting Authentic Collaboration with Multiple Displays, 2008.
pdf, bib

Kerstin Ruhland, Susan Bioletti, Michael Sedlmair, Carol O'Sullivan
LibViz: Data Visualisation of the old Library
In Proceedings of the 14th International Conference on Virtual Systems and Multimedia (VSMM), 2008.
Best Paper Award.
pdf, bib

Michael Sedlmair
MSCar: Enhancing Message Sequence Charts with Interactivity for Analysing (Automotive) Communication Sequences
In Proceedings of the 2nd International Workshop on the Layout of (Software) Engineering Diagrams (LED), 2008.
pdf, bib

Michael Sedlmair, Wolfgang Hintermaier, Konrad Stocker, Thortsen Büring, Andreas Butz
A Dual-View Visualization of In-Car Communication Processes
In Proceedings of the 12th International Conference on Information Visualization (IV), 2008.
pdf, bib, video

2007

Michael Sedlmair
Methoden der Informationsvisualisierung für Kommunikationsprozesse im Fahrzeug
Diplom Thesis, Faculty of Mathematics, Computer Science and Statistics, University of Munich, 2007.

  • Mensch-Maschine- und Mensch-Daten-Interaktion
  • Augmented Reality und Virtual Reality
  • Informationsvisualisierung
  • Interaktionsdesign

Education
* 2010 Dr. rer. nat. (Ph.D.) in Computer Science, Ludwig Maximilian University of Munich (LMU)
* 1997 Diplom (MSc) in Media Informatics, Ludwig Maximilian University of Munich (LMU)

Work history
* 02/2021–present Professor (W3), Director of HCI Research Group
University of Stuttgart, Department of Computer Science, Germany
* 07/2018–02/2021 Juniorprofessor for AR/VR (W1, tenure-track)
University of Stuttgart, Department of Computer Science, Germany
* 01/2018–06/2018 Associate Professor
Jacobs University Bremen, Dept. Computer Sc. and Electrical Eng., Germany
* 01/2017–12/2017 Adjunct Professor
Shandong University, Department of Computer Science, Qingdao, China
* 01/2013–12/2017 Junior Group Leader
University of Vienna, Department of Computer Science, Austria
* 08/2010–12/2012 Postdoctoral Fellow
University of British Columbia, Department of Computer Science, Vancouver, Canada
* 08/2007–07/2010 PhD Student
BMW Group Research and Technology, Munich, Germany
* 02/2004–07/2010 Tutor for classical and electric guitar
Music school Ohrwurm, Munich, Germany

Dieses Bild zeigt Maria Schulz

Maria Schulz

 

Sekretärin VISUS

Zum Seitenanfang