AI RESEARCH
Lightweight Cybersickness Detection based on User-Specific Eye and Head Tracking Data in Virtual Reality
arXiv CS.LG
•
ArXi:2604.17158v1 Announce Type: cross The occurrence of cybersickness in virtual reality (VR) significantly impairs users' perception and sense of immersion. Therefore, timely detection of cybersickness and the application of appropriate intervention strategies are crucial for enhancing the user experience. However, existing cybersickness detection methods often suffer from issues such as poor detection reliability across different levels of cybersickness and unnecessary model complexity.