Pingting Chen
Papers
1
Total Citations
2
H-Index
1
About
Pingting Chen is a rising scholar in human-robot interaction and affective computing, with a focus on how bionic features in educational service robots shape emotional responses across age groups. Her most-cited work, "Understanding emotional values of bionic features for educational service robots: A cross-age examination using multi-modal data" (2024), pioneers the use of multi-modal data—including physiological signals and behavioral observations—to decode how children and adults emotionally engage with robots that mimic living forms. This research bridges robotics, psychology, and education, offering actionable insights for designing more empathetic and effective learning companions. Though early in her career, Chen’s work has already garnered attention for its methodological rigor and practical implications, contributing to the growing field of socially assistive robotics. Her findings help educators and engineers tailor robot appearances to foster trust and engagement in classrooms, a critical step toward integrating AI into educational settings. As her citation count grows, Chen is poised to become a key voice in understanding the emotional dynamics of human-machine relationships, particularly for vulnerable populations like young learners.
Research Focus
Key Achievements
Top Papers
- 1