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Abstract
We present a methodology for characterizing the gaze behavior of viewers of animated displays. We introduce a transition graph called Viewing Behavior Model Graph (VBMG) to characterize the behavior of users with similar viewing patterns into separate groups. We apply this methodology to the viewing of program visualizations. In this method the users eye-fixation sequences are obtained using an Eye-Tracker and per-user viewing behavior models are created. We then cluster these per-user models to build VBMGs for each cluster. The VBMGs are useful because they help us classify users into separate groups, each user within a group having viewing behavior similar to others in the group. One useful application of VBMGs would be to dynamically capture viewing behavior and predict the cluster to which a user belongs, thus permitting on-the-fly adaptation of displays and other teaching materials.