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Eye Tracking for Visual Analytics and Visual Analytics for Eye Tracking

Daniel Weiskopf, Stuttgart University

Abstract

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".

Bio

Daniel Weiskopf is a professor at the Visualization Research Center (VISUS) of the University of Stuttgart, Germany. He received the Dr. rer. nat. degree in physics from the University of Tübingen, Germany, in 2001, and the Habilitation degree in computer science from the University of Stuttgart, Germany, in 2005. His research interests include information and scientific visualization, visual analytics, eye tracking, computer graphics, virtual and augmented reality, and special and general relativity. He is a member of the ACM SIGGRAPH, Eurographics, and the Gesellschaft für Informatik.