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We present a conceptual framework expanding the use of eye movement as a source of implicit relevance feedback. While gaze time has been the primary feature to be incorporated in interest modeling, this work constructs a model of human oculomotor plant features during user's interaction with multiple everyday applications with the goal of better interpreting user gaze data. The following presents the anatomical reasoning behind incorporating additional gaze features, the integration of the additional features into an existing interest modeling architecture, and a plan for assessing the impact of the addition of the features.

Rationale and Architecture for Incorporating Human Oculomotor Plant Features in User Interest Modeling