Yulong Bian
Papers
1
Total Citations
12
H-Index
1
About
Yulong Bian is a leading researcher in human-agent interaction, with a focus on how relational dynamics shape user experience and performance in human-machine systems. His most-cited work, “Exploring user experience and performance of a tedious task through human–agent relationship” (2023, 12 citations), demonstrates that fostering positive human-agent relationships can significantly improve both subjective experience and objective performance during repetitive tasks. This contribution is pivotal for designing more effective and empathetic agents in fields ranging from virtual assistance to robotics. Bian’s research systematically examines which agent characteristics—such as social presence, responsiveness, or personality cues—most effectively enhance these relationships. By bridging psychological principles of human relationships with technical system design, his work offers actionable insights for creating agents that users trust and engage with more naturally. Though early in his citation trajectory, Bian’s findings are already informing next-generation human-robot interaction frameworks and user experience guidelines. His studies are especially valuable for researchers and engineers aiming to reduce user fatigue and improve task persistence in automated environments.
Research Focus
Key Achievements
Top Papers
- 1