Papers
3
Total Citations
44
H-Index
3
About
Yezhi Shu is a pioneering researcher in affective computing and human-computer interaction, with a specialized focus on the nuanced landscape of positive emotions. Her major contributions center on addressing a critical gap in emotion science: the lack of standardized, culturally-specific tools for eliciting and analyzing positive emotional states. Shu developed the Chinese Positive Emotion Database (CPED), a landmark resource that provides validated, multimodal stimuli for inducing a broad spectrum of positive emotions, moving beyond simplistic happy-sad dichotomies. This work, cited over 27 times across its iterations, has profound implications for designing more empathetic social robots and emotionally intelligent interfaces. Additionally, Shu investigates the mechanisms of emotion recognition in cartoon faces, a ubiquitous yet understudied medium in social media and animation. Her research on key facial features reveals how simplified representations convey complex emotional signals, informing the design of more expressive virtual agents. By bridging the gap between basic emotion theory and applied technology, Shu's work empowers researchers and engineers to create systems that genuinely understand and respond to the richness of human positive affect.
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