EyeExplore: An Interactive Visualization Tool for Eye-Tracking Data for Novel Stimulus-based Analysis

The state-of-the-art visualization tools for multidimensional gaze or eye-tracking data focus on a few dimensions leading to incomplete analysis, e.g., fixations as time series data, scanpath trajectory, etc. We propose EyeExplore, an interactive visualization tool to explore eye-tracking data for a single static 2D stimulus (i.e., a selected image). It has multiple views, namely, single-user, user comparative, and cohort-summary views. We propose the use of ensemble clustering and visualization of co-association matrices for cohort analysis. We propose the use of semantics-aware areas of interest (AOI) through user interactivity leading to AOI transition matrix visualization. Our preliminary results show that EyeExplore provides a more complete data exploration.