Min Qin

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About

Min Qin is a leading researcher at the intersection of human-robot interaction, service marketing, and consumer psychology. Her work focuses on understanding how the design and behavior of service robots influence consumer trust and experience. She is best known for her highly cited 2023 study, "Trust in service robot: the role of appearance anthropomorphism," which has garnered 30 citations and is a foundational reference in the field. This research critically examines how anthropomorphic features—such as human-like faces or gestures—affect consumer trust in robots deployed as frontline employees in hotels and restaurants. By revealing the nuanced ways in which appearance can both build and undermine trust, Qin’s work provides essential guidance for companies seeking to integrate robots into service settings. Her contributions are shaping the next generation of service robot design and have significant implications for the hospitality and retail industries. Min Qin’s research is widely recognized for its practical relevance and theoretical depth, making her a key voice in the ongoing conversation about the future of automated service.