Yan Luximon
Papers
9
Total Citations
305
H-Index
6
About
Yan Luximon is a prominent researcher whose work sits at the intersection of human-robot interaction, social robotics, and design psychology. Best known for pioneering investigations into facial anthropomorphic trustworthiness in social robots, Luximon has made significant contributions to understanding how robot facial features shape human perceptions of trust and credibility. Their 2020 systematic review, "Trust in AI Agent," has garnered 96 citations and serves as a foundational reference for researchers and designers working on socially intelligent machines. Building on this, subsequent studies examining facial feature effects (78 citations) and face ratio proportions (54 citations) have helped establish a coherent design framework for socially acceptable robots. Luximon further developed a dedicated Facial Anthropomorphic Trustworthiness Scale, offering practitioners a rigorous measurement tool for early human-robot encounters. Beyond robotics, their research extends into smart healthcare adoption among older adults and the application of arts and design in public health contexts, reflecting a broad commitment to human-centered design. With a cumulative body of work exceeding 300 citations, Luximon's research meaningfully advances both theoretical understanding and practical guidelines for designing trustworthy AI-driven social agents.
Research Focus
Key Achievements
Top Papers
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- 3The face of trust: The effect of robot face ratio on consumer preference54 citations · 2020
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- 7When Trustworthiness Meets Face: Facial Design for Social Robots4 citations · 2024
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