Youdi Li
Papers
3
Total Citations
8
H-Index
2
About
Youdi Li is a researcher whose work lies at the intersection of human-robot interaction, cognitive psychology, and educational technology. Their research focuses on how social robots can be designed to effectively support human learning and performance, particularly by understanding how robot behavior influences users' psychological states. Li’s major contributions include demonstrating that a robot’s expressions—both verbal and non-verbal—can significantly impact a user’s self-efficacy, especially in error-prone or challenging situations. They have also explored how unexpected robot actions affect individual cognitive performance, and how robots can be trained to recognize and express confidence based on human behavioral cues. Though early in their career, Li’s work has already garnered citations (e.g., 3 citations each for their 2021 and 2022 studies), signaling growing interest in their findings. Their research is particularly notable for bridging the gap between robotic design and real-world educational applications, offering insights into how robots can adapt to human emotional and cognitive states. Li’s work is essential reading for anyone interested in creating more intuitive, effective, and psychologically-aware social robots for learning environments.
Research Focus
Key Achievements
Top Papers
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