Zengrui Li
Papers
1
Total Citations
2
H-Index
1
About
Zengrui Li is a rising researcher at the intersection of human-robot interaction, affective computing, and educational technology. Their work explores how bionic features in service robots evoke emotional responses, with a focus on cross-age user experiences. Li’s most-cited paper, "Understanding emotional values of bionic features for educational service robots: A cross-age examination using multi-modal data" (2024), integrates physiological signals, facial expressions, and self-reports to decode how children and adults perceive robot aesthetics. This multi-modal approach offers a novel framework for designing emotionally intelligent educational robots that foster engagement and trust. Though early in their career, Li’s research has already garnered attention for bridging engineering and psychology, providing actionable insights for human-centered robotics. Their work stands out for its methodological rigor and practical implications, particularly in tailoring robot design to diverse age groups. As the field of social robotics grows, Li’s contributions are poised to shape how machines communicate empathy and adapt to human emotional needs, making their research a valuable resource for students and scholars exploring the future of human-robot collaboration.
Research Focus
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Top Papers
- 1