Yaocong Duan

University of Glasgow

Papers

1

Total Citations

38

H-Index

1

About

Yaocong Duan is a leading researcher in human-robot interaction and affective computing, with a particular focus on culturally-sensitive social robotics. His most-cited work, "Equipping social robots with culturally-sensitive facial expressions of emotion using data-driven methods" (2019, 38 citations), challenges the long-held assumption that standardized, universal facial expressions are sufficient for effective human-robot engagement. Duan pioneered data-driven approaches to generate and adapt robot facial expressions to align with specific cultural norms, demonstrating that robots can achieve higher recognition and trust from users when their emotional displays are culturally tailored. This contribution bridges the gap between cross-cultural psychology and robotics, offering a scalable framework for designing more empathetic and context-aware social agents. Beyond this flagship study, Duan’s broader research portfolio explores how robots can interpret and respond to nuanced social cues, advancing the field toward truly personalized human-robot collaboration. His work has been recognized for its interdisciplinary impact, influencing both engineering practices and the ethical design of socially assistive robots. For students and researchers, Duan’s research underscores a critical insight: the future of social robotics lies not in one-size-fits-all solutions, but in culturally intelligent machines that respect and reflect human diversity.

Research Focus

Key Achievements

1
H-Index
1
Papers
38
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
Equipping social robots with culturally-sensitive facial expressions of emotion using data-driven methods
38 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Glasgow

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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