Yang Ji
Papers
2
Total Citations
7
H-Index
2
About
Yang Ji is a pioneering researcher at the intersection of human-robot interaction (HRI) and affective computing, with a focused expertise on how people perceive and emotionally respond to robots. Her work critically examines the nuanced dynamics of emotional communication in HRI, moving beyond simple functionality to explore the rich, non-verbal cues of robot body language. In her highly cited 2024 study, "Human Perception of the Emotional Expressions of Humanoid Robot Body Movements," Ji employed both surveys and eye-tracking to demonstrate that humans can reliably interpret emotions like happiness and sadness from a robot's movements, a foundational insight for designing more intuitive social robots. Further expanding this line of inquiry, her research on "Exploring the Effects of Multi-Factors on User Emotions in Scenarios of Interaction Errors" investigates the complex emotional landscape that arises when robots make mistakes. By identifying how factors like error type and robot appearance influence user frustration and trust, Ji’s work provides crucial guidelines for developing resilient and emotionally intelligent robotic systems. With her recent publications rapidly gaining citations, Yang Ji is establishing herself as a key voice in making future human-robot encounters more natural, empathetic, and effective.
Research Focus
Key Achievements
Top Papers
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