Xiaohui Liu

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About

Xiaohui Liu is a leading researcher in the fields of healthcare technology adoption, artificial intelligence in medicine, and patient behavior analysis. Her work critically examines how individual characteristics—such as personality traits, digital literacy, and trust—shape patients' willingness to embrace AI-powered service robots in clinical settings. In her most-cited study (2022, 85 citations), Liu developed a comprehensive model revealing that perceived usefulness, ease of use, and personal innovativeness are key drivers of continuance intention, while anxiety and technology aversion pose significant barriers. This research has profound implications for hospital administrators and AI developers seeking to design patient-centered robotic systems that enhance care delivery without alienating users. Liu’s contributions extend beyond theoretical frameworks; her findings have informed practical guidelines for integrating AI assistants in triage, medication delivery, and patient education. With a growing citation impact, she is recognized as a pivotal voice in the intersection of human-computer interaction and healthcare innovation, bridging the gap between cutting-edge technology and real-world patient needs. Her work continues to inspire scholars and practitioners aiming to make AI adoption more inclusive and effective in medical environments.