Kai Otto, Nora Castner, David Geisler, Enkelejda Kasneci
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Development and evaluation of a gaze feedback system integrated into eyetrace
A growing field of studies in eye-tracking is the use of gaze data for realtime feedback to the subject. In this work, we present a software system for such experiments and validate it with a visual search task experiment. This system was integrated into an eye tracking analysis tool. Our aim was to improve subject performance in this task by employing saliency features for gaze guidance. This realtime feedback system can be applicable within many realms, such as learning interventions, computer entertainment, or virtual reality.
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