EyeC: Coordinated Views for Interactive Visual Exploration of Eye-Tracking Data

Abstract

Visual attention and eye movement are important subjects of investigation with a wide area of application scenarios. The analysis of eye tracking data comprises examinations of differences between subjects and groups of subjects and identification of patterns and outliers within and between groups. To allow for such complex queries in an intuitive way, we present an interactive visual analysis tool using coordinated views. The views display areas of interest, statistical graphics of fixation times and time series and comprise novel visual encodings for spatiotemporal analysis and subject similarities. Interaction mechanisms allow for a refined analysis that takes into account all aspects of the data. We apply our approach to eye tracking data from psychological experiments and conduct a case study to demonstrate its effectiveness and intuitiveness.