Virtual Reality (VR) is becoming increasingly popular both in theentertainment and professional domains. Behavioral biometricshave recently been investigated as a means to continuously andimplicitly identify users in VR. Applications in VR can specificallybenefit from this, for example, to adapt virtual environments anduser interfaces as well as to authenticate users. In this work, weconduct a lab study (𝑁 = 16) to explore how accurately users can beidentified during two task-driven scenarios based on their spatialmovement. We show that an identification accuracy of up to 90% ispossible across sessions recorded on different days. Moreover, weinvestigate the role of users’ physiology in behavioral biometrics by
virtually altering and normalizing their body proportions. We findthat body normalization in general increases the identification rate,in some cases by up to 38%; hence, it improves the performance ofidentification systems.

Publikation

Jonathan Liebers, Uwe Gruenefeld, Lukas Mecke, Alia Saad, Jonas Auda, Florian Alt, Mark Abdelaziz and Stefan Schneegass.Understanding User Identification in Virtual Reality through Behavioral Biometrics and the Effect of Body Normalization.In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. CHI'21. Association for Computing Machinery, New York, NY, USA.[Download Bibtex]