Truth in Motion: The Unprecedented Risks and Opportunities of Extended Reality Motion Data

Abstract

Motion tracking "telemetry" data lies at the core of nearly all modern extended reality (XR) and metaverse experiences. While generally presumed innocuous, recent studies have demonstrated that motion data actually has the potential to profile and deanonymize XR users, posing a significant threat to security and privacy in the metaverse.

References in corpus (3)

• Going Incognito in the Metaverse: Achieving Theoretically Optimal Privacy-Usability Tradeoffs in VR
• Exploring the Privacy Risks of Adversarial VR Game Design
• Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data

Cited by in corpus (3)

• Framing metaverse identity: A multidimensional framework for governing digital selves
• Motion-Based User Identification across XR and Metaverse Applications by Deep Classification and Similarity Learning
• Beyond the Headset: A Systematization of Knowledge on Extended Reality Privacy and Security in Healthcare