Storyline visualizations of eye tracking of movie viewing

摘要

Storyline visualization is a technique that captures the spatiotemporal characteristics of individual entities and simultaneously illustrates emerging group behaviors. We developed a storyline visualization leveraging dynamic time warping to parse and cluster eye tracking sequences. Visualization of the results captures the similarities and differences across a group of observers performing a common task. We applied our storyline approach to gaze patterns of people watching dynamic movie clips. We use these to illustrate variations in the spatio-temporal patterns of observers as captured by different data encoding techniques. We illustrate that storylines further aid in the identification of modal patterns and noteworthy individual differences within a corpus of eye tracking data.