APRIL 18-21, 2017
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Eye Tracking for Visual Analytics and Visual Analytics for Eye Tracking

Daniel Weiskopf, Stuttgart University


There is a growing interest in eye tracking as a research method in many communities, including visual analytics, information visualization, scientific visualization, but also in human-computer interaction, applied perception, psychology, cognitive science, security, and mixed reality. Progress in hardware technology and the reduction of costs for eye tracking devices have made this analysis technique accessible to a large population of researchers. Recording the observer’s gaze can reveal how dynamic graphical displays are visually accessed and which information are processed in real time. However, the analysis, interaction, and visualization of spatiotemporal gaze data becomes a challenging factor in this emerging discipline. My talk will discuss the relationship between eye tracking and visual analytics from two angles: (1) How can eye tracking help understand how users work with visual analytics interfaces, thus serving as a basis to improve visual analytics? (2) How can visual analytics facilitate the analysis of eye tracking recordings? I will argue that it is useful to combine both perspectives, eventually targeting "visual analytics for visual analytics".


Kwan-Liu Ma is a professor of computer science at the University of California, Davis. He leads VIDI Labs and directs the UC Davis Center for Visualization. Professor Ma received his PhD degree in computer science from the University of Utah in 1993. His research interests include visualization, computer graphics, high-performance computing, and user interface design. Professor Ma received the NSF Presidential Early-Career Research Award (PECASE) award in 2000, was elected IEEE Fellow in 2012, and was presented the IEEE VGTC 2013 Visualization Technical Achievement Award in 2013. Professor Ma has been actively serving the research community. He has chaired the technical programs of InfoVis, EuroVis, and PacificVis, and he presently served as the AEIC for IEEE Computer Graphics and Applications and chair of the PacificVis steering committee.