Recent developments in computer graphics, hardware technology, and machine learning enable pervasive eye tracking and its applications – e.g., gaze-based interaction, foveated rendering, and assistive technologies in stationary and highly mobile settings. Based on the viewed stimulus, it is possible to infer plenty of different information by using human eye movements and visual scanning patterns, for instance, activities, health status, or expertise, to count a few. Such inferences include privacy risks that have not been studied extensively. This talk will introduce the basics of eye tracking, its applications, including those in extended reality, and its use in different domains. Then, possible privacy risks, as well as existing and potential solutions, will be discussed. Lastly, reflections from user privacy concerns toward such setups will be examined.
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Speaker(s): Dr. Efe Bozkir
Virtual: https://events.vtools.ieee.org/m/409857
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