Youdi LI

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About

Youdi Li is a pioneering researcher in human-robot interaction, specializing in how robotic body gestures influence human behavior and emotional responses. Their work centers on the intersection of affective computing, nonverbal communication, and biosignal analysis, with a focus on designing robots that can effectively encourage or request actions from humans. Li’s most cited study, "Effectiveness of Body Gesture Expression for Behavior Inducing" (2022), experimentally demonstrated that a robot’s gestural expressions significantly impact people’s acceptance of its prompts. By combining questionnaire data with biosensors measuring heartbeat and brain activity, Li provided a novel, multi-modal framework for quantifying human-robot interaction dynamics. This research bridges robotics and psychology, offering practical insights for developing socially intelligent machines in healthcare, education, and service settings. With 3 citations to date, Li’s work is gaining traction as a foundational reference for gesture-driven behavior induction. Their innovative use of physiological metrics sets a new standard for evaluating robotic social influence, making Li a rising voice in the quest to create more empathetic and persuasive autonomous systems.