ETVIS

This workshop explores the intersection of eye tracking and visualization, encompassing both eye tracking studies of visualizations and visualization techniques for eye tracking. Advances in computer vision algorithms and sensor hardware have significantly lowered the cost and complexity of eye tracking, leading to its growing adoption beyond traditional fields like biological vision, psychology, and neuroscience—particularly in visualization and human-computer interaction research. A central challenge is analyzing, interacting with, and visualizing complex spatio-temporal gaze datasets, often enriched with semantic labels, user interactions, or physiological sensor data. The ultimate goal is to interpret eye tracking data in terms of the observer's decision-making and cognitive processes. Achieving this requires integrating insights from vision, cognition, and visualization to enhance data analysis, interaction, and user-based evaluation in eye tracking research.