Xinyun Cao

Central China Normal University

Papers

1

Total Citations

6

H-Index

1

About

Xinyun Cao investigates the intersection of developmental psychology and human-robot interaction, focusing on how children perceive and trust social agents. Her research explores the nuanced ways in which appearance and social cues shape selective trust, particularly in robots' emotional and social testimony. In her most-cited work (2024, 6 citations), Cao demonstrates that children's trust in robots is influenced by the robots' physical appearance, with implications for designing educational and assistive technologies. This study contributes to understanding how young minds navigate social learning from non-human entities, bridging gaps in cognitive development and artificial intelligence. Cao's work is notable for its interdisciplinary approach, combining experimental methods from developmental psychology with robotics design principles. Her findings have practical relevance for creating more effective, trustworthy social robots in child-facing applications, and her research continues to inform debates on the ethical deployment of AI in educational settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Does appearance affect children's selective trust in robots' social and emotional testimony?
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Central China Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago