Through Human Eyes and Machine Eyes: Understanding View Mismatch in Video See-Through Extended Reality

arXiv:2609.29173 · cs.HC, cs.CR · Submitted 2026-09-24 · Read on arXiv

cs.HC, cs.CR

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Calibration — 5× in this paper · explained in 7 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Neuro-symbolic approach — 1× in this paper · explained in 5 episodes
• Vision-language models — 1× in this paper · explained in 2 episodes

Sources

• Secure and Private Spatial Sharing for Mixed Reality Remote Collaboration in Enterprise Settings
• Extended to Reality: Prompt Injection in 3D Environments
• Prompt Injection attack against LLM-integrated Applications
• The perceptual gap between video see-through displays and natural human vision
• Reality Copilot: Voice-First Human-AI Collaboration in Mixed Reality Using Large Multimodal Models

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