Applying eye-movememt tracking to program visualization

Abstract

We describe an evaluation of a program animation tool, Jeliot 3. Eye movement data, interaction data, and audio and video protocols were recorded for sixteen participants comprehending three Java programs. In this paper, we report and analyze a subset of the captured data, the patterns of visual attention in time and space during animation of a program. We discuss the possible potentials and prospects of using eye-gaze as an interaction and evaluation modality for building intelligent, gaze-aware program animation tools.