ULL Event: Gazing into the Future: Exploring Recent Trends in Eye Tracking & their Impact on Extended Reality & Privacy

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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.

PDH Certificate will be issued for those IEEE members attendees satisfying the 50 minutes requirement upon request.  Please indicate interest by answering PDH question during registration.  For easier membership verification, please login to your IEEE account before registering.



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  • Date: 08 Mar 2024
  • Time: 11:00 AM to 12:00 PM
  • All times are (UTC-06:00) Central Time (US & Canada)
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  • Starts 04 March 2024 12:00 AM
  • Ends 08 March 2024 09:00 AM
  • All times are (UTC-06:00) Central Time (US & Canada)
  • No Admission Charge


  Speakers

Dr. Efe Bozkir

Biography:

Efe Bozkir is a postdoctoral researcher at the Technical University of Munich and the University of Tübingen, Germany. He obtained his Ph.D. in Computer Science in 2022 from the University of Tübingen, where he worked at the Chair for Human-Computer Interaction. Following his Ph.D., he conducted research on usable privacy and security at CyLab Security and Privacy Institute of Carnegie Mellon University between August 2022 and January 2023 as a visiting postdoctoral researcher, and he was supported by the Cluster of Excellence – Machine Learning for Science. Before those, he received his M.Sc. and B.Sc. degrees from the Technical University of Munich and Istanbul Technical University in 2016 and 2014, respectively. His research revolves around eye tracking, human-computer interaction, extended reality, machine learning, and privacy, focusing on computational techniques and human factors.

https://efebozkir.github.io/





  Media

Gazing into the Future 1.06 MiB