1. Eye tracking support for visual analytics systems
- Author
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Nelson Silva, Radu Jianu, Daniel Weiskopf, Martin Raubal, Tanja Blascheck, Tobias Schreck, Nils Rodrigues, Graz University of Technology [Graz] (TU Graz), Analysis and Visualization (AVIZ), Laboratoire de Recherche en Informatique (LRI), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), City University of London, Visualization Research Center [Stuttgart] (VISUS), Universität Stuttgart [Stuttgart], Department of Earth Sciences [Swiss Federal Institute of Technology - ETH Zürich] (D-ERDW), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Department of Computer Science, Technische Universität Darmstadt (TU Darmstadt), and Technische Universität Darmstadt - Technical University of Darmstadt (TU Darmstadt)
- Subjects
Structure (mathematical logic) ,Visual analytics ,support ,Computer science ,business.industry ,05 social sciences ,020207 software engineering ,02 engineering and technology ,visual analytics ,eye tracking ,gaze-adaptive systems ,Data science ,[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing ,Analytics ,0202 electrical engineering, electronic engineering, information engineering ,Eye tracking ,0501 psychology and cognitive sciences ,[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] ,business ,050107 human factors - Abstract
International audience; 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.
- Published
- 2019