Research on Extended Reality (XR) and Artificial Intelligence (AI) is booming, which has led
to an emerging body of literature in their intersection. However, the main topics in this …

Recently, there has been much interest in using virtual reality (VR) tracking data to
authenticate or identify users. Most prior research has relied on task-specific characteristics …

Eye-tracking is a critical source of information for understanding human behavior and
developing future mixed-reality technology. Eye-tracking enables applications that classify …

Behavioral biometrics has recently become a viable alternative method for user identification
in Virtual Reality (VR). Its ability to identify users based solely on their implicit interaction …

Existing virtual reality (VR) authentication schemes are either slow or prone to observation
attacks. We propose CueVR, a cue-based authentication scheme that is resilient against …

Abstract As Virtual Reality (VR) applications gain popularity, the need for a secure, usable,
and memorable user authentication method becomes crucial. However, security and privacy …

Behavioral Biometrics in Virtual Reality (VR) enable implicit user identification by leveraging
the motion data of users' heads and hands from their interactions in VR. This spatiotemporal …

This paper introduces “Motion Passwords”, a novel biometric authentication approach where
virtual reality users verify their identity by physically writing a chosen word in the air with their …

There is an endeavor in the Human-Computer Interaction (HCI) community to create novel
authentication schemes so that passwords finally become obsolete and practical security is …

Gender identification of virtual reality (VR) users by machine learning tracking data could
afford personalized experiences, including mitigation of expected human factors or …