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dc.contributor.authorKassel, Jan-Frederiken_US
dc.contributor.authorRohs, Michaelen_US
dc.contributor.editorJohansson, Jimmy and Sadlo, Filip and Marai, G. Elisabetaen_US
dc.date.accessioned2019-06-02T18:14:43Z
dc.date.available2019-06-02T18:14:43Z
dc.date.issued2019
dc.identifier.isbn978-3-03868-090-1
dc.identifier.urihttps://doi.org/10.2312/evs.20191175
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evs20191175
dc.description.abstractA visualization recommender supports the user through automatic visualization generation. While previous contributions primarily concentrated on integrating visualization design knowledge either explicitly or implicitly, they mostly do not consider the user's individual preferences. In order to close this gap we explore online learning of visualization preferences through dueling bandits. Additionally, we consider this challenge from a usability perspective. Through a user study (N = 15), we empirically evaluate not only the bandit's performance in terms of both effectively learning preferences and properly predicting visualizations (satisfaction regarding the last prediction: μ = 85%), but also the participants' effort with respect to the learning procedure (e.g., NASA-TLX = 24:26). While our findings affirm the applicability of dueling bandits, they further provide insights on both the needed training time in order to achieve a usability-aligned procedure and the generalizability of the learned preferences. Finally, we point out a potential integration into a recommender system.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectVisualization systems and tools
dc.subjectComputing methodologies
dc.subjectReinforcement learning
dc.titleOnline Learning of Visualization Preferences through Dueling Bandits for Enhancing Visualization Recommendationsen_US
dc.description.seriesinformationEuroVis 2019 - Short Papers
dc.description.sectionheadersWeb Interfaces and Learning
dc.identifier.doi10.2312/evs.20191175
dc.identifier.pages85-89


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