Yiyao Wei

Papers

Total Citations

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About

Yiyao Wei is a rising scholar in human-robot interaction (HRI) and explainable artificial intelligence (XAI), whose work investigates how robots can communicate their decisions to build trust and improve collaboration. In their highly regarded 2022 paper, "Explain yourself! Effects of Explanations in Human-Robot Interaction," Wei demonstrates that explanations from robots significantly shape user perceptions, reliability judgments, and trust—a finding that has already garnered 23 citations and is influencing the design of more transparent autonomous systems. By bridging technical advances in XAI with empirical studies of human behavior, Wei’s research addresses a critical gap: how to make robots not just smarter, but more understandable and trustworthy partners. Their contributions are particularly notable for integrating cognitive science and robotics, offering practical insights for developers of assistive, service, and collaborative robots. As the field moves toward accountable AI, Wei’s work stands out for its clarity and real-world relevance, making them a key voice in shaping how humans and machines communicate effectively.