Yanzhe Li
Papers
3
Total Citations
16
H-Index
2
About
Yanzhe Li investigates the intersection of human-robot interaction, social robotics, and personality psychology, with a particular focus on self-disclosure dynamics and robot design. Their most cited work, "Self-Disclosure to a Robot 'In-the-Wild': Category, Human Personality and Robot Identity" (2022, 11 citations), explores how topic sensitivity, individual personality traits, and perceived robot identity—whether human-like, robot-like, or animal-like—influence people's willingness to share personal information with a Pepper robot in real-world settings. This research provides foundational insights for designing socially adept robots capable of fostering trust and rapport. Li extends this line of inquiry to child-robot relationships in "Child’s Personality and Self-Disclosures to a Robot Persona 'In-The-Wild'" (2023), highlighting how self-disclosure can support children's socio-emotional development. Additionally, their work on "Human- or Machine-like Music Assistive Robots Effects on Fluency and Memory Recall" (2023) examines how robot appearance impacts cognitive performance in healthcare contexts, particularly for elderly care. By bridging personality science and human-robot interaction, Li’s contributions advance the design of empathetic, context-aware robots for therapeutic and assistive applications.
Research Focus
Key Achievements
Top Papers
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