Yanchao Bi

Beijing Normal University, Tianjin University of Science and Technology

Papers

Total Citations

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About

Yanchao Bi’s research lies at the fascinating intersection of social cognition, human-robot interaction, and evolutionary psychology. Her work explores how humans evaluate and emotionally respond to robots, particularly humanoid forms, revealing deep-seated psychological mechanisms. A key contribution is her finding that humanoid robots are perceived as an evolutionary threat, a novel insight that explains discomfort and negative biases in human-robot interaction. This work, published in 2021, has garnered 2 citations and is foundational for understanding the uncanny valley effect from an evolutionary perspective. Bi also investigates separable amygdala activation patterns in the evaluation of robots (2024, 3 citations), demonstrating that distinct neural circuits underlie social versus functional assessments of robotic agents. Additionally, her research on intelligent logistics handling robots (2024, 3 citations) bridges cognitive science and engineering, focusing on design, control, and recognition systems. With a growing citation impact, Bi’s work is shaping how we design socially acceptable robots and understand the cognitive architecture of human-robot social perception. Her studies are essential reading for researchers in social robotics, affective computing, and cognitive neuroscience.