Wanli Zhai
Papers
2
Total Citations
6
H-Index
2
About
Wanli Zhai is a rising researcher at the intersection of human-robot interaction (HRI) and affective computing. Her work focuses on bridging the emotional gap between humans and machines, with a particular emphasis on how robots can both express and perceive emotions during interaction. In her highly innovative 2024 study, "An Emotion Recognition Method for Humanoid Robot Body Movements Based on a PSO-BP-RMSProp Neural Network," Zhai developed a computational model that maps a robot’s physical gestures to human emotional states—a largely unexplored perspective that earned her work early recognition with 4 citations. She further investigates the fragility of HRI in her paper "Exploring the Effects of Multi-Factors on User Emotions in Scenarios of Interaction Errors," which examines how unavoidable system mistakes influence user frustration and trust. By dissecting these emotional dynamics, Zhai provides critical insights for designing more resilient and empathetic robotic systems. Though early in her career, her targeted contributions to robot emotional intelligence and error-aware interaction design are laying a strong foundation for future advancements in socially adept robotics.
Research Focus
Key Achievements
Top Papers
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- 2