Gen‐Yih Liao

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About

Dr. Gen-Yih Liao investigates the critical intersection of healthcare technology and human factors, with a primary focus on how robotic systems impact nursing professionals. His research addresses a pressing contemporary challenge: while robots are increasingly deployed to assist in healthcare settings, they paradoxically create new demands on nurses. In his highly cited 2022 study, "How robots impact nurses' time pressure and turnover intention," Dr. Liao demonstrated that the effort required to ensure robots' smooth operation (EERSO) significantly increases nurses' time pressure and turnover intention, with robot performance moderating this relationship. This work, accumulating 23 citations, provides essential insights for healthcare administrators implementing automation. His follow-up research on nurse–robot engagement (14 citations) further explores how robot benefits and maintenance requirements influence staff engagement. Most recently, Dr. Liao's 2025 work examines human decision-making in using autonomous mobile healthcare robots, comparing efficiency versus troubleshooting considerations. Collectively, his research offers vital guidance for designing robotic systems that genuinely support—rather than burden—healthcare professionals, making him a leading voice in human-robot interaction within clinical environments.