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Creators/Authors contains: "Khokhar, Adil"

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  1. We demonstrate a system that sequences teacher avatar clips considering student eye tracking. We are investigating subjective suitability of avatar responses to student misunderstandings or inattention. Three different avatar behaviors are demonstrated to allow a teacher pedagogical agent to behave more appropriately to student attention or distraction. An in-game mobile device provides an experiment control mechanism for 2 levels of distractions. 
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  2. Drifting student attention is a common problem in educational environments. We demonstrate 8 attention-restoring visual cues for display when eye tracking detects that student attention shifts away from critical objects. These cues include novel aspects and variations of standard cues that performed well in prior work on visual guidance. Our cues are integrated into an offshore training system on an oil rig. While students participate in training on the oil rig, we can compare our various cues in terms of performance and student preference, while also observing the impact of eye tracking. We demonstrate experiment software with which users can compare various cues and tune selected parameters for visual quality and effectiveness. 
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  3. VR displays (HMDs) with embedded eye trackers could enable better teacher-guided VR applications since eye tracking could provide insights into student’s activities and behavior patterns. We present several techniques to visualize eye-gaze data of the students to help a teacher gauge student attention level. A teacher could then better guide students to focus on the object of interest in the VR environment if their attention drifts and they get distracted or confused. 
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