Junyi Shen

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About

Junyi Shen’s research lies at the intersection of human-robot interaction and social cognition, exploring how people perceive and categorize robots. Her key contributions focus on the psychological and demographic factors that shape our attitudes toward robots, particularly through the lens of mind perception and the Uncanny Valley phenomenon. In her widely cited 2022 study (5 citations), Shen demonstrated that participants’ age and gender significantly influence how they attribute mental capacities to different types of robots, offering critical insights for designing more socially acceptable robotic systems. Her 2023 work (3 citations) further advanced this line of inquiry by revealing that the perceived occupation of a robot can shift the cognitive border between human and robot faces, challenging static models of anthropomorphism. These findings have practical implications for robotics design, marketing, and ethical guidelines. Shen’s research is notable for its rigorous experimental methodology and its ability to bridge theoretical frameworks with real-world applications. Her work is essential reading for anyone interested in the social dynamics of human-robot relationships and the subtle cues that shape our acceptance of autonomous systems.