Privacy concerns from variances in spatial navigability in VR

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...

Full description

Saved in:
Bibliographic Details
Published in:arXiv.org 2023-02
Main Authors: Basu, Aryabrata, Mohammad Jahed Murad Sunny, Jayasri Sai Nikitha Guthula
Format: Article
Language:English
Subjects:
Algorithms
Augmented reality
Input devices
Machine learning
Privacy
Virtual environments
Virtual reality
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2331-8422