Authors: Sayeed Safayet Alam, Radu Jianu
Abstract: Interest in eye-tracking technology has proliferated in the visualization community in the last decade. Currently, gaze information is analyzed in the image space that gaze coordinates were recorded in, generally with the help of overlays such as heatmaps or scanpaths, or with the help of manually defined areas of interest (AOI). Such analyses require significant manual input and are not feasible for studies involving many subjects, long sessions, and heavily interactive visual stimuli. We propose Data of interest (DOI)-based analysis: a new way of analyzing data provided by eye-tracking devices. Unlike existing point-based and AOI analyses, which focus on the coordinates and areas of the stimuli that users viewed, DOI-based analysis leverages the known structure of an evaluated visualization to detect in real time which individual elements of the visualization are being viewed, and relates those to the base-data from which the visualization was built. We show that DOI-based analysis can be particularly useful for analyzing the use of highly interactive visualizations.