As virtual reality (VR) headset adoption continues to grow, researchers from the University of California, Berkeley, have discovered that head and hand motion data collected from VR headsets could compromise user privacy. This data could potentially identify individuals with a high level of accuracy, revealing personal information such as height, weight, age, and marital status. One study analysed data from over 55,000 user accounts on a popular rhythm-based VR game, identifying individuals with 94% accuracy using just 100 seconds of motion data. Another survey of over 1,000 participants found that machine learning algorithms could consistently infer more than 40 personal and privacy-sensitive variables from motion data. The researchers highlight the need for privacy-preserving mechanisms in multi-user VR applications.
What is this page?
You are reading a summary article on the Privacy Newsfeed, a free resource for DPOs and other professionals with privacy or data protection responsibilities helping them stay informed of industry news all in one place. The information here is a brief snippet relating to a single piece of original content or several articles about a common topic or thread. The main contributor is listed in the top left-hand corner, just beneath the article title.
The Privacy Newsfeed monitors over 300 global publications, of which more than 4,350 summary articles have been posted to the online archive dating back to the beginning of 2020. A weekly roundup is available by email every Friday.