Papers
2
Total Citations
104
H-Index
2
About
Yi Mou is a leading voice in human-robot interaction (HRI), with a research focus on the social and psychological dynamics between humans and machines. Her work centers on how people perceive and relate to robots, particularly through the lens of personality and self-disclosure. In her highly cited 2019 systematic review (79 citations), Mou mapped the conceptualization and operationalization of robot personality, establishing a foundational framework for the field. She further advanced this line of inquiry with a 2023 experimental study (25 citations) that tested whether the classic "disclosure-liking" effect from human-human interaction extends to robots. Her findings reveal that both self-disclosing to a robot and receiving reciprocal disclosure from a robot can significantly increase a person's liking for the machine, offering critical insights for designing more engaging and socially adept robotic companions. By bridging social psychology and robotics, Mou’s contributions are shaping how we understand and design for meaningful human-robot relationships, with implications for service robots, healthcare, and companionship technologies.
Research Focus
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Top Papers
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