Exploring the Uncoordinated Privacy Protections of Eye Tracking and VR Motion Data for Unauthorized User Identification

This 10-minute IEEE conference talk examines how uncoordinated privacy protections between eye tracking and VR motion data can lead to unauthorized user identification. Learn how adversaries might leverage partially protected data to identify users without consent in virtual reality environments. Presented by Samantha Aziz and Oleg Komogortsev from Texas State University, the research reveals critical privacy vulnerabilities at the intersection of eye tracking and VR technologies. Discover why comprehensive privacy protection approaches are necessary when dealing with the personally identifying information captured by VR sensors, including body motion and eye tracking data. Part of the "Ethical, diversity and gender issues" session at IEEE VR 2025.