Privacy concerns from variances in spatial navigability in VR

PubDate: Feb 2023

Teams: University of Arkansas at Little Rock

Writers: Aryabrata Basu, Mohammad Jahed Murad Sunny, Jayasri Sai Nikitha Guthula

PDF: Privacy concerns from variances in spatial navigability in VR

Abstract

Current Virtual Reality (VR) input devices make it possible to navigate a virtual environment and record immersive, personalized data regarding the user’s movement and specific behavioral habits, which brings the question of the user’s privacy concern to the forefront. In this article, the authors propose to investigate Machine Learning driven learning algorithms that try to learn with human users co-operatively and can be used to countermand existing privacy concerns in VR but could also be extended to Augmented Reality (AR) platforms.