PUMA publications for /user/franziskahuth/vis-gishttps://puma.ub.uni-stuttgart.de/user/franziskahuth/vis-gisPUMA RSS feed for /user/franziskahuth/vis-gis2024-03-28T22:55:40+01:00Studies and design considerations for animated transitions between small-scale visualizationshttps://puma.ub.uni-stuttgart.de/bibtex/2b504fd79082f36482b2ec13631be1ea2/franziskahuthfranziskahuth2023-09-01T11:44:06+02:002023 vis(us) vis-gis visus:blaschta visus:ertl visus:huthfa visus:kochsn <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Franziska Huth" itemprop="url" href="/person/1a32a18c425e2eb733dbe60de59b24784/author/0"><span itemprop="name">F. Huth</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tanja Blascheck" itemprop="url" href="/person/1a32a18c425e2eb733dbe60de59b24784/author/1"><span itemprop="name">T. Blascheck</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Steffen Koch" itemprop="url" href="/person/1a32a18c425e2eb733dbe60de59b24784/author/2"><span itemprop="name">S. Koch</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Thomas Ertl" itemprop="url" href="/person/1a32a18c425e2eb733dbe60de59b24784/author/3"><span itemprop="name">T. Ertl</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Journal of Visualization</span>, </em> </span>(<em><span>Aug 28, 2023<meta content="Aug 28, 2023" itemprop="datePublished"/></span></em>)</span>Fri Sep 01 11:44:06 CEST 2023Journal of VisualizationaugStudies and design considerations for animated transitions between small-scale visualizations20232023 vis(us) vis-gis visus:blaschta visus:ertl visus:huthfa visus:kochsn 28Small-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.Online Study on Reading Behavior of Data-Rich Texts with Integrated Word-Scale Visualizationshttps://puma.ub.uni-stuttgart.de/bibtex/273e6665e49ce0b52695188c6d5f2f04a/franziskahuthfranziskahuth2022-11-01T20:29:29+01:002022 vis(us) vis-gis visus:blaschta visus:griouifz visus:huthfa <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Franziska Huth" itemprop="url" href="/person/19062554f832800b2225519cafe9e3754/author/0"><span itemprop="name">F. Huth</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Lukas Kaminski" itemprop="url" href="/person/19062554f832800b2225519cafe9e3754/author/1"><span itemprop="name">L. Kaminski</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Fairouz Grioui" itemprop="url" href="/person/19062554f832800b2225519cafe9e3754/author/2"><span itemprop="name">F. Grioui</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tanja Blascheck" itemprop="url" href="/person/19062554f832800b2225519cafe9e3754/author/3"><span itemprop="name">T. Blascheck</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Postersession at the IEEE Conference on Visualization</span>, </em></span>(<em><span>October 2022<meta content="October 2022" itemprop="datePublished"/></span></em>)<em>Reviewed Poster.</em></span>Tue Nov 01 20:29:29 CET 2022Postersession at the IEEE Conference on Visualization10Reviewed PosterOnline Study on Reading Behavior of Data-Rich Texts with Integrated Word-Scale Visualizations20222022 vis(us) vis-gis visus:blaschta visus:griouifz visus:huthfa Animated Transitions for Small-Scale Visualizationshttps://puma.ub.uni-stuttgart.de/bibtex/207179281c371bcef7781b516b7c3bb71/franziskahuthfranziskahuth2022-11-01T20:15:14+01:002022 vis(us) vis-gis visus:blaschta visus:ertl visus:huthfa visus:kochsn <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Franziska Huth" itemprop="url" href="/person/18b342524027d3f2aa15680e9e8724543/author/0"><span itemprop="name">F. Huth</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tanja Blascheck" itemprop="url" href="/person/18b342524027d3f2aa15680e9e8724543/author/1"><span itemprop="name">T. Blascheck</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Steffen Koch" itemprop="url" href="/person/18b342524027d3f2aa15680e9e8724543/author/2"><span itemprop="name">S. Koch</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Thomas Ertl" itemprop="url" href="/person/18b342524027d3f2aa15680e9e8724543/author/3"><span itemprop="name">T. Ertl</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">15th International Symposium on Visual Information Communication and Interaction</span>, </em></span><em>page <span itemprop="pagination">8</span>. </em><em>New York, NY, USA, </em><em><span itemprop="publisher">Association for Computing Machinery</span>, </em>(<em><span>October 2022<meta content="October 2022" itemprop="datePublished"/></span></em>)</span>Tue Nov 01 20:15:14 CET 2022New York, NY, USA15th International Symposium on Visual Information Communication and Interaction108VINCI'22Animated Transitions for Small-Scale Visualizations20222022 vis(us) vis-gis visus:blaschta visus:ertl visus:huthfa visus:kochsn 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.Online Study of Word-Sized Visualizations in Social Mediahttps://puma.ub.uni-stuttgart.de/bibtex/20c39ddfd0f947a761e6a763ad25fd441/franziskahuthfranziskahuth2021-06-21T12:48:36+02:002021 myown vis(us) vis-gis visus:blaschta visus:huthfa visus:knittejs <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Franziska Huth" itemprop="url" href="/person/16851866c4b882db577f691002915b5ab/author/0"><span itemprop="name">F. Huth</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Miriam Awad-Mohammed" itemprop="url" href="/person/16851866c4b882db577f691002915b5ab/author/1"><span itemprop="name">M. Awad-Mohammed</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Johannes Knittel" itemprop="url" href="/person/16851866c4b882db577f691002915b5ab/author/2"><span itemprop="name">J. Knittel</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tanja Blascheck" itemprop="url" href="/person/16851866c4b882db577f691002915b5ab/author/3"><span itemprop="name">T. Blascheck</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Petra Isenberg" itemprop="url" href="/person/16851866c4b882db577f691002915b5ab/author/4"><span itemprop="name">P. Isenberg</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">EuroVis 2021 - Posters</span>, </em></span><em><span itemprop="publisher">The Eurographics Association</span>, </em>(<em><span>2021<meta content="2021" itemprop="datePublished"/></span></em>)</span>Mon Jun 21 12:48:36 CEST 2021EuroVis 2021 - PostersOnline Study of Word-Sized Visualizations in Social Media20212021 myown vis(us) vis-gis visus:blaschta visus:huthfa visus:knittejs 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.Online Study of Word-Sized Visualizations in Social MediaWord-sized Visualizations for Exploring Discussion Diversity in Social Mediahttps://puma.ub.uni-stuttgart.de/bibtex/28545da5296637c29dd54c71085df17c1/franziskahuthfranziskahuth2021-03-02T09:38:14+01:002021 myown vis(us) vis-gis visus:blaschta visus:ertl visus:huthfa visus:kochsn <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Franziska Huth" itemprop="url" href="/person/1ac227dd5804709ab6f5f12f622a70658/author/0"><span itemprop="name">F. Huth</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tanja Blascheck" itemprop="url" href="/person/1ac227dd5804709ab6f5f12f622a70658/author/1"><span itemprop="name">T. Blascheck</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Steffen Koch" itemprop="url" href="/person/1ac227dd5804709ab6f5f12f622a70658/author/2"><span itemprop="name">S. Koch</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sonja Utz" itemprop="url" href="/person/1ac227dd5804709ab6f5f12f622a70658/author/3"><span itemprop="name">S. Utz</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Thomas Ertl" itemprop="url" href="/person/1ac227dd5804709ab6f5f12f622a70658/author/4"><span itemprop="name">T. Ertl</span></a></span></span>. </span><span class="additional-entrytype-information">(<em><span>2021<meta content="2021" itemprop="datePublished"/></span></em>)</span>Tue Mar 02 09:38:14 CET 2021Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications256-265Word-sized Visualizations for Exploring Discussion Diversity in Social Media3 IVAPP20212021 myown vis(us) vis-gis visus:blaschta visus:ertl visus:huthfa visus:kochsn 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.From black-box complexity to designing new genetic algorithms.https://puma.ub.uni-stuttgart.de/bibtex/28992ce1cfdb1fe3c43e8fb2d0e321fdb/franziskahuthfranziskahuth2019-01-09T14:21:29+01:002015 vis(us) vis-gis visus:huthfa <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Benjamin Doerr" itemprop="url" href="/person/190dabc3b18a282778f6afda594a508db/author/0"><span itemprop="name">B. Doerr</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carola Doerr" itemprop="url" href="/person/190dabc3b18a282778f6afda594a508db/author/1"><span itemprop="name">C. Doerr</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Franziska Huth" itemprop="url" href="/person/190dabc3b18a282778f6afda594a508db/author/2"><span itemprop="name">F. Huth</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Theoretical Computer Science</span>, </em> </span>(<em><span>2015<meta content="2015" itemprop="datePublished"/></span></em>)</span>Wed Jan 09 14:21:29 CET 2019Theoretical Computer Science87-104From black-box complexity to designing new genetic algorithms.56720152015 vis(us) vis-gis visus:huthfa 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.Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion.https://puma.ub.uni-stuttgart.de/bibtex/288f7752f3cfb47c4a2f5a0f19100363e/franziskahuthfranziskahuth2019-01-09T14:09:11+01:002014 vis-gis visus:huthfa <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christian Schmaltz" itemprop="url" href="/person/162fb96c66781c348c8454dddacc55b61/author/0"><span itemprop="name">C. Schmaltz</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Pascal Peter" itemprop="url" href="/person/162fb96c66781c348c8454dddacc55b61/author/1"><span itemprop="name">P. Peter</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Markus Mainberger" itemprop="url" href="/person/162fb96c66781c348c8454dddacc55b61/author/2"><span itemprop="name">M. Mainberger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Franziska Huth" itemprop="url" href="/person/162fb96c66781c348c8454dddacc55b61/author/3"><span itemprop="name">F. Huth</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Joachim Weickert" itemprop="url" href="/person/162fb96c66781c348c8454dddacc55b61/author/4"><span itemprop="name">J. Weickert</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andrés Bruhn" itemprop="url" href="/person/162fb96c66781c348c8454dddacc55b61/author/5"><span itemprop="name">A. Bruhn</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">International Journal of Computer Vision</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">108 </span></span>(<span itemprop="issueNumber">3</span>):
<span itemprop="pagination">222-240</span></em> </span>(<em><span>2014<meta content="2014" itemprop="datePublished"/></span></em>)</span>Wed Jan 09 14:09:11 CET 2019International Journal of Computer Vision3222-240Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion.10820142014 vis-gis visus:huthfa 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.Lessons from the black-box: fast crossover-based genetic algorithms.https://puma.ub.uni-stuttgart.de/bibtex/2d8fe5d8611d0fec052377ea91615802d/franziskahuthfranziskahuth2019-01-09T13:54:39+01:002013 vis(us) vis-gis visus:huthfa <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Benjamin Doerr" itemprop="url" href="/person/16d3c9e1252e764493a7f91ae825598d1/author/0"><span itemprop="name">B. Doerr</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carola Doerr" itemprop="url" href="/person/16d3c9e1252e764493a7f91ae825598d1/author/1"><span itemprop="name">C. Doerr</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Franziska Huth" itemprop="url" href="/person/16d3c9e1252e764493a7f91ae825598d1/author/2"><span itemprop="name">F. Huth</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation</span>, </em></span><em>page <span itemprop="pagination">781-788</span>. </em><em>New York, NY, USA, </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2013<meta content="2013" itemprop="datePublished"/></span></em>)<em>Best Paper Award.</em></span>Wed Jan 09 13:54:39 CET 2019New York, NY, USAProceedings of the 15th Annual Conference on Genetic and Evolutionary ComputationBest Paper Award781-788GECCO '13Lessons from the black-box: fast crossover-based genetic algorithms.20132013 vis(us) vis-gis visus:huthfa 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.