Yue Yuan
Papers
1
Total Citations
5
H-Index
1
About
Yue Yuan is a pioneering researcher in human-robot interaction (HRI), with a focus on how social dynamics and relational contexts shape user trust, acceptance, and perceived robot competence. Their most-cited work, "The Effects of Human-Robot Interactions and the Human-Robot Relationship on Robot Competence, Trust, and Acceptance" (2024), investigates how varying interaction modes—such as single-user versus multi-user scenarios—influence the human-robot relationship. By demonstrating that relational factors are critical to designing socially adept robots, Yuan’s research provides foundational insights for developing robots that can adapt to diverse social environments, from homes to public spaces. With 5 citations, this paper is gaining traction as a key reference in the growing field of social robotics. Yuan’s contributions are particularly notable for bridging psychological theories of human relationships with technical design, offering practical frameworks for engineers and designers. Their work underscores the importance of moving beyond one-size-fits-all interaction models, making it essential reading for students and researchers interested in creating robots that are not only competent but also trusted and accepted by users in real-world social contexts.
Research Focus
Key Achievements
Top Papers
- 1