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

November 17, 2024 Β· Declared Dead Β· πŸ› IEEE Conference on Virtual Reality and 3D User Interfaces

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Authors Samantha Aziz, Oleg Komogortsev arXiv ID 2411.12766 Category cs.HC: Human-Computer Interaction Citations 7 Venue IEEE Conference on Virtual Reality and 3D User Interfaces Last Checked 4 months ago
Abstract
Virtual reality (VR) sensors capture large amounts of user data, including body motion and eye tracking, that contain personally identifying information. While privacy-enhancing techniques can obfuscate this data, incomplete privacy protections risk privacy leakage, which may allow adversaries to leverage unprotected data to identify users without consent. This work examines the extent to which unprotected body motion data can undermine privacy protections for eye tracking data, and vice versa, to enable user identification in VR. These findings highlight a privacy consideration at the intersection of eye tracking and VR, and emphasize the need for privacy protections that address these technologies comprehensively.
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