Shiye Cao

Papers

Total Citations

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About

Shiye Cao is a rising researcher whose work sits at the critical intersection of human-robot interaction (HRI) and trust dynamics. Her primary research areas include trust repair in human-robot teams, conversational robot design, and the detection of errors in LLM-powered systems. In her highly cited 2023 paper, "What If It Is Wrong," Cao investigates how power dynamics and different trust repair strategies affect human compliance and trust after a robot makes an error—a foundational contribution to building resilient, real-world robotic teammates. This work has already garnered 26 citations, underscoring its relevance to the HRI community. More recently, Cao has tackled the emerging challenge of conversational breakdowns in LLM-driven robots, co-authoring the "ERR@HRI 2.0 Challenge" which focuses on multimodal error detection. Her ongoing exploration of interruption handling in conversational robots further demonstrates her commitment to making human-robot dialogue more fluid and reliable. Through her focus on trust, error recovery, and robust communication, Shiye Cao is helping to shape the next generation of socially intelligent robots that can work safely alongside people.