AI RESEARCH
HarassGuard: Detecting Harassment Behaviors in Social Virtual Reality with Vision-Language Models
arXiv CS.CV
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ArXi:2604.00592v1 Announce Type: new Social Virtual Reality (VR) platforms provide immersive social experiences but also expose users to serious risks of online harassment. Existing safety measures are largely reactive, while proactive solutions that detect harassment behavior during an incident often depend on sensitive biometric data, raising privacy concerns. In this paper, we present HarassGuard, a vision-language model (VLM) based system that detects physical harassment in social VR using only visual input.