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About

Yao-Cheng Chan is an emerging researcher at the forefront of human-robot interaction (HRI), with particular expertise in incidental robot encounters, robot personality perception, and the integration of AI-driven technologies in everyday settings. His work has made meaningful contributions to understanding how people react when they unexpectedly encounter autonomous robots in public spaces — a timely and underexplored area as robotic deployment becomes increasingly common. His studies on quadruped robots, including investigations into whether visual cues like leashes influence public perception, have each garnered 15 citations and helped establish foundational frameworks such as the Vid2Real HRI methodology, which bridges laboratory research with real-world ecological validity. Chan has also explored how nonverbal communication and personality traits shape human responses to humanoid robots, producing insights relevant to both academic and commercial applications. His neuromarketing research examining chatbot interactions in e-commerce reflects a creative interdisciplinary reach, blending neuroscience with HRI. Additionally, his attention to privacy concerns in AI-driven robotic systems addresses one of the field's most pressing societal challenges. With a growing citation record across multiple high-impact topics, Chan represents a promising voice shaping the future of human-robot coexistence.