AttentionAR: AR Adaptation and Warning for Real-World Safety via Attention Modeling and MLLM Reasoning
Yunqiang Pei, Renming Huang, Mingfeng Zha, Guoqing Wang, Peng Wang, Qiao Kang, Yang Yang, Heng Tao Shen
2025Year
4Citations
Abstract
Augmented Reality is rapidly transforming everyday experiences, yet its deployment in dynamic, real-world settings often undermines user safety and situational awareness.Existing AR interfaces
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