Cui Dewen

Tokyo Metropolitan University

Papers

1

Total Citations

3

H-Index

1

About

Dewen Cui is a researcher at the forefront of human-robot interaction, with a specialized focus on understanding human mental states during dialogue to create more responsive, human-friendly robots. His work centers on the integration of non-verbal cues—particularly eye gaze and head movement—to enhance the accuracy of mental state estimation in educational and assistive contexts. In his notable 2022 paper, "Estimation of Confidence in the Dialogue based on Eye Gaze and Head Movement Information," Cui tackles the challenge of precisely gauging a user’s confidence during conversation, moving beyond traditional speech and visual analysis. While this work has garnered 3 citations to date, it represents a critical step toward developing robots that can adapt their behavior based on subtle human signals, promising more natural and effective interactions in learning environments. Cui’s contributions are paving the way for socially intelligent machines that can better support and engage with people.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Estimation of Confidence in the Dialogue based on Eye Gaze and Head Movement Information
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Tokyo Metropolitan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago