Behavioral Biometric Privacy Threats in Immersive Systems

The rise of immersive technologies like virtual reality (VR) and augmented reality (AR) have enabled means of gathering biometric data regarding behaviour, including gaze patterns, gait signatures, voice characteristics and neurophysiological signals. These technologies produce continuous streams of personal data for which existing privacy frameworks were never intended. This chapter presents the Immersive Biometric Privacy Threat Taxonomy (IBPT), a framework for analysing privacy threats unique to immersive environments. The IBPT model of threat categorisation is three-dimensional and proposes four novel privacy threats: Immersive Identity Disclosure; Environmental Attribute Inference; Cross-Reality Correlation; and Temporal Behavioural Reconstruction. The chapter examines the regulatory landscape across jurisdictions, validates the framework through case studies, and offers practitioners a threat prioritisation matrix. By bridging the gap between biometric security research and immersive technology privacy requirements, this work contributes to trustworthy immersive system design.