Junchao Xu

Delft University of Technology

Papers

8

Total Citations

257

H-Index

8

About

Junchao Xu is a pioneering researcher in human-robot interaction, with a primary focus on how robots can express and transmit mood through body language. His work centers on the concept of mood contagion—the automatic process by which observing another's emotional state induces a congruent mood. Xu developed a groundbreaking parameterized behavior model for humanoid robots, allowing them to display mood through subtle modulations of ongoing functional behaviors, such as gestures and posture, without interrupting their tasks. His most-cited paper, "Robot mood is contagious: effects of robot body language in the imitation game" (59 citations), demonstrated that robot mood can be recognized by humans and produce contagious effects. Xu's research has been applied in real-world settings, including a robotic teacher and storyteller, showing that moody gestures can enhance student engagement and narrative perception. With over 200 citations across his key works, Xu has established a robust framework for designing emotionally expressive robots, making significant contributions to affective computing and social robotics. His work is essential reading for anyone interested in creating more natural, empathetic human-robot interactions.

Research Focus

Key Achievements

8
H-Index
8
Papers
257
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Robot mood is contagious: effects of robot body language in the imitation game
59 citations · 2014
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Delft University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago