Position innerhalb des Seitenbaumes

Institut für Visualisierung und Interaktive Systeme
Team
Franziska Huth

Franziska Huth

Frau M.Sc.

Wiss. Mitarbeiterin
Institut für Visualisierung und Interaktive Systeme (VIS)
Virtual Reality und Augmented Reality

Kontakt

+49 711 685 88246
+49 711 685 78246
E-Mail
Visitenkarte (VCF)

Universitätsstraße 38
70569 Stuttgart
Deutschland
Raum: 1.438

Fachgebiet

Volunteered Geographic Information Research Programme

KONTEXT(VER)ÄNDERUNGEN IN SOCIAL-MEDIA-BEITRÄGEN

Publikationen

Publikationen:

2023
1. Huth, Franziska ; Blascheck, Tanja ; Koch, Steffen ; Ertl, Thomas: Studies and design considerations for animated transitions between small-scale visualizations. In: Journal of Visualization, Journal of Visualization. (2023)
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  BibTeX
  @article{Huth2023JoV, abstract = {Small-scale visualizations can augment text, show information on mobile devices, or geographical information on a map. In such situations, there is often not enough space to show complex data with approaches like juxtaposed visualizations. To alleviate this issue, we propose the use of animated transitions between several small-scale visualizations. We discuss design considerations for animated transitions between small-scale visualizations and differences to normal-sized visualizations. Further, we present the results of two online studies on the effectiveness of those animated transitions to convey information and attribute relations, as well as the mental load of following the animated transitions. As a result, we found that animated transitions between visualizations are understandable in small scale, but performance depends on the specific task and the type of operation carried out with the animated transition.}, author = {Huth, Franziska and Blascheck, Tanja and Koch, Steffen and Ertl, Thomas}, day = 28, doi = {10.1007/s12650-023-00937-z}, issn = {1875-8975}, journal = {Journal of Visualization}, month = {08}, title = {Studies and design considerations for animated transitions between small-scale visualizations}, url = {https://doi.org/10.1007/s12650-023-00937-z}, year = 2023 }
  Link
  https://doi.org/10.1007/s12650-023-00937-z
2022
1. Huth, Franziska ; Blascheck, Tanja ; Koch, Steffen ; Ertl, Thomas: Animated Transitions for Small-Scale Visualizations. In: 15th International Symposium on Visual Information Communication and Interaction, 15th International Symposium on Visual Information Communication and Interaction. Chur, Switzerland : Association for Computing Machinery, 2022 — ISBN 9781450398060, S. 8
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  @inproceedings{10.1145/3554944.3554945, abstract = {When visualizations are used to augment text, geographical information on a map, or on mobile devices, there often is not enough space to show complex data with approaches like juxtaposed visualizations or coordinated views. To alleviate this issue, we propose the use of animated transitions between several small-scale visualizations. We discuss design considerations for animated transitions in small-scale visualizations. We further present the results of a study on the effectiveness of those animated transitions in conveying information and attribute relations, and the mental load of following the animated transitions.}, address = {New York, NY, USA}, articleno = {9}, author = {Huth, Franziska and Blascheck, Tanja and Koch, Steffen and Ertl, Thomas}, booktitle = {15th International Symposium on Visual Information Communication and Interaction}, doi = {10.1145/3554944.3554945}, isbn = {9781450398060}, location = {Chur, Switzerland}, month = {10}, numpages = {8}, pages = 8, publisher = {Association for Computing Machinery}, series = {VINCI'22}, title = {Animated Transitions for Small-Scale Visualizations}, url = {https://doi.org/10.1145/3554944.3554945}, year = 2022 }
  Link
  https://doi.org/10.1145/3554944.3554945
2. Huth, Franziska ; Kaminski, Lukas ; Grioui, Fairouz ; Blascheck, Tanja: Online Study on Reading Behavior of Data-Rich Texts with Integrated Word-Scale Visualizations. In: Postersession at the IEEE Conference on Visualization, Postersession at the IEEE Conference on Visualization, 2022. — Reviewed Poster
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  @inproceedings{Huth2022visposter, author = {Huth, Franziska and Kaminski, Lukas and Grioui, Fairouz and Blascheck, Tanja}, booktitle = {Postersession at the IEEE Conference on Visualization}, month = {10}, note = {Reviewed Poster}, title = {Online Study on Reading Behavior of Data-Rich Texts with Integrated Word-Scale Visualizations}, url = {https://osf.io/49bhw/wiki/home/}, venue = {Oklahoma City}, year = 2022 }
  Link
  https://osf.io/49bhw/wiki/home/
2021
1. Huth, Franziska ; Awad-Mohammed, Miriam ; Knittel, Johannes ; Blascheck, Tanja ; Isenberg, Petra: Online Study of Word-Sized Visualizations in Social Media. In: Byška, J. ; Jänicke, S. ; Schmidt, J. (Hrsg.) ; Byška, J. ; Jänicke, S. ; Schmidt, J. (Hrsg.): EuroVis 2021 - Posters, EuroVis 2021 - Posters : The Eurographics Association, 2021 — ISBN 978-3-03868-144-1
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  @inproceedings{p.20211069, abstract = {We report on an online study that compares three different representations to show topic diversity in social media threads: a word-sized visualization, a background color, and a text representation. Our results do not provide significant evidence that people gain knowledge about topic diversity with word-sized visualizations faster than with the other two conditions. Further, participants who were shown word-sized visualizations performed tasks with equally few or only slightly fewer errors.}, author = {Huth, Franziska and Awad-Mohammed, Miriam and Knittel, Johannes and Blascheck, Tanja and Isenberg, Petra}, booktitle = {EuroVis 2021 - Posters}, doi = {10.2312/evp.20211069}, editor = {Byška, Jan and Jänicke, Stefan and Schmidt, Johanna}, isbn = {978-3-03868-144-1}, publisher = {The Eurographics Association}, title = {Online Study of Word-Sized Visualizations in Social Media}, url = {https://doi.org/10.2312/evp.20211069}, year = 2021 }
  Link
  https://doi.org/10.2312/evp.20211069
2. Huth, Franziska ; Blascheck, Tanja ; Koch, Steffen ; Utz, Sonja ; Ertl, Thomas: Word-sized Visualizations for Exploring Discussion Diversity in Social Media. In: Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Bd. 3 IVAPP : SciTePress, 2021 — ISBN 978-989-758-488-6, S. 256–265
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  @conference{ivapp21, abstract = {In this paper, we explore the design space of word-sized visualizations—small graphics, usually the same size as a word, that visualize data in or related to a text—for displaying and exploring categories in social media feeds such as Twitter streams. Social media contributions are typically microposts, which allow us to attach word-sized visualizations to show category assignment, diversity, or development. We consider and combine word-sized visualizations made up of basic marks and visual variables, existing word-sized visualization concepts, as well as large text visualizations. In an application example we show how word-sized visualizations can evince context changes within a discussion on Twitter and reveal topic diversity.}, author = {Huth, Franziska and Blascheck, Tanja and Koch, Steffen and Utz, Sonja and Ertl, Thomas}, booktitle = {Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications}, doi = {10.5220/0010328602560265}, eventdate = {2021}, isbn = {978-989-758-488-6}, language = {english}, organization = {INSTICC}, pages = {256-265}, publisher = {SciTePress}, title = {Word-sized Visualizations for Exploring Discussion Diversity in Social Media}, url = {https://www.scitepress.org/Papers/2021/103286/103286.pdf}, volume = {3 IVAPP}, year = 2021 }
  Link
  https://www.scitepress.org/Papers/2021/103286/103286.pdf
2015
1. Doerr, Benjamin ; Doerr, Carola ; Huth, Franziska: From black-box complexity to designing new genetic algorithms. In: Theoretical Computer Science, Theoretical Computer Science. Bd. 567 (2015), S. 87–104
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  @article{DOERR201587, abstract = {Black-box complexity theory recently produced several surprisingly fast black-box optimization algorithms. In this work, we exhibit one possible reason: These black-box algorithms often profit from solutions inferior to the previous-best. In contrast, evolutionary approaches guided by the “survival of the fittest” paradigm often ignore such solutions. We use this insight to design a new crossover-based genetic algorithm. It uses mutation with a higher-than-usual mutation probability to increase the exploration speed and crossover with the parent to repair losses incurred by the more aggressive mutation. A rigorous runtime analysis proves that our algorithm for many parameter settings is asymptotically faster on the OneMax test function class than all what is known for classic evolutionary algorithms. A fitness-dependent choice of the offspring population size provably reduces the expected runtime further to linear in the dimension. Our experimental analysis on several test function classes shows advantages already for small problem sizes and broad parameter ranges. Also, a simple self-adaptive choice of these parameters gives surprisingly good results.}, author = {Doerr, Benjamin and Doerr, Carola and Huth, Franziska}, doi = {https://doi.org/10.1016/j.tcs.2014.11.028}, issn = {0304-3975}, journal = {Theoretical Computer Science}, pages = {87-104}, title = {From black-box complexity to designing new genetic algorithms.}, url = {http://www.sciencedirect.com/science/article/pii/S0304397514009451}, volume = 567, year = 2015 }
  Link
  http://www.sciencedirect.com/science/article/pii/S0304397514009451
2014
1. Schmaltz, Christian ; Peter, Pascal ; Mainberger, Markus ; Huth, Franziska ; Weickert, Joachim ; Bruhn, Andrés: Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion. In: International Journal of Computer Vision, International Journal of Computer Vision. Bd. 108 (2014), Nr. 3, S. 222–240
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  @article{journals/ijcv/SchmaltzPMEWB14, abstract = {Gali{\'{c}} et al. (Journal of Mathematical Imaging and Vision 31:255--269, 2008) have shown that compression based on edge-enhancing anisotropic diffusion (EED) can outperform the quality of JPEG for medium to high compression ratios when the interpolation points are chosen as vertices of an adaptive triangulation. However, the reasons for the good performance of EED remained unclear, and they could not outperform the more advanced JPEG 2000. The goals of the present paper are threefold: Firstly, we investigate the compression qualities of various partial differential equations. This sheds light on the favourable properties of EED in the context of image compression. Secondly, we demonstrate that it is even possible to beat the quality of JPEG 2000 with EED if one uses specific subdivisions on rectangles and several important optimisations. These amendments include improved entropy coding, brightness and diffusivity optimisation, and interpolation swapping. Thirdly, we demonstrate how to extend our approach to 3-D and shape data. Experiments on classical test images and 3-D medical data illustrate the high potential of our approach.}, author = {Schmaltz, Christian and Peter, Pascal and Mainberger, Markus and Huth, Franziska and Weickert, Joachim and Bruhn, Andrés}, doi = {10.1007/s11263-014-0702-z}, issn = {1573-1405}, journal = {International Journal of Computer Vision}, number = 3, pages = {222-240}, title = {Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion.}, url = {https://doi.org/10.1007/s11263-014-0702-z}, volume = 108, year = 2014 }
  Link
  https://doi.org/10.1007/s11263-014-0702-z
2013
1. Doerr, Benjamin ; Doerr, Carola ; Huth, Franziska: Lessons from the black-box: fast crossover-based genetic algorithms. In: Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation. Amsterdam, The Netherlands : ACM, 2013. — Best Paper Award — ISBN 978-1-4503-1963-8, S. 781–788
  - BibTeX
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  @inproceedings{Doerr:2013:LBF:2463372.2463480, abstract = {The recently active research area of black-box complexity revealed that for many optimization problems the best possible black-box optimization algorithm is significantly faster than all known evolutionary approaches. While it is not to be expected that a general-purpose heuristic competes with a problem-tailored algorithm, it still makes sense to look for the reasons for this discrepancy. In this work, we exhibit one possible reason---most optimal black-box algorithms profit also from solutions that are inferior to the previous-best one, whereas evolutionary approaches guided by the "survival of the fittest" paradigm often ignore such solutions. Trying to overcome this shortcoming, we design a simple genetic algorithm that first creates λ offspring from a single parent by mutation with a mutation probability that is k times larger than the usual one. From the best of these offspring (which often is worse than the parent) and the parent itself, we generate further offspring via a uniform crossover operator that takes bits from the winner offspring with probability 1/k only. A rigorous runtime analysis proves that our new algorithm for suitable parameter choices on the OneMax test function class is asymptotically faster (in terms of the number of fitness evaluations) than what has been shown for μ +, λ EAs. This is the first time that crossover is shown to give an advantage for the OneMax class that is larger than a constant factor. Using a fitness-dependent choice of k and λ, the optimization time can be reduced further to linear in n. Our experimental analysis on several test function classes shows advantages already for small problem sizes and broad parameter ranges. Also, a simple self-adaptive choice of these parameters gives surprisingly good results.}, acmid = {2463480}, address = {New York, NY, USA}, author = {Doerr, Benjamin and Doerr, Carola and Huth, Franziska}, booktitle = {Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation}, doi = {10.1145/2463372.2463480}, isbn = {978-1-4503-1963-8}, location = {Amsterdam, The Netherlands}, note = {Best Paper Award}, numpages = {8}, pages = {781-788}, publisher = {ACM}, series = {GECCO '13}, title = {Lessons from the black-box: fast crossover-based genetic algorithms.}, url = {http://doi.acm.org/10.1145/2463372.2463480}, year = 2013 }
  Link
  http://doi.acm.org/10.1145/2463372.2463480

Lehre

since 04/2021: Visualisierungskolloquium , University of Stuttgart, Germany
10/2019--02/2020: Theoretical and Methodological Foundations of Visual Computing, University of Stuttgart, Germany
04/2019--09/2019: Scientific Visualisation, University of Stuttgart, Germany

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https://orcid.org/0000-0003-1393-5641

Franziska Huth

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Franziska Huth

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2023

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2022

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2021

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