Papers
1
Total Citations
30
H-Index
1
About
Linyao Li is a leading researcher in human-robot interaction, with a particular focus on how service robots’ behavioral design influences human perceptions and social dynamics. Their work bridges psychology and sociology to understand the nuanced ways robot behavior shapes user comfort and social distance. In their highly cited 2022 study, “How Human-like Behavior of Service Robot Affects Social Distance,” Li introduced a novel mediation model that moves beyond traditional appearance-based metrics to examine the sociological implications of robots’ actions. This research, which has already garnered 30 citations, reveals how human-like behavior can paradoxically increase or decrease social distance depending on cultural context—a finding with profound implications for global robot design. Li’s contributions are notable for integrating cross-cultural comparisons, offering actionable insights for developers creating robots for diverse markets. By reframing the conversation from “how robots look” to “how robots behave,” Li has opened new pathways for designing more socially acceptable and effective service robots, making their work essential reading for students and researchers in human-robot interaction, social robotics, and cross-cultural technology studies.
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