Chengli Xiao

Nanjing University

Papers

5

Total Citations

73

H-Index

3

About

Chengli Xiao investigates the intersection of social cognition and human-robot interaction, focusing on how people perceive and communicate with robots. Her research explores whether humans treat robots as social partners, examining anthropomorphism, perspective-taking, and spatial language use. In her most cited work, "Robotic Chef Versus Human Chef" (35 citations), she demonstrates that anthropomorphic cues and task difficulty shape food quality predictions, revealing nuanced expectations of robot capabilities. Her studies on visual perspective-taking (18 and 16 citations) show that people do not automatically adopt a robot's viewpoint, challenging assumptions about seamless human-robot collaboration. Xiao's work on the uncanny valley and mind perception further clarifies how robots' human-likeness influences social cognition. By integrating experimental psychology with robotics, she provides critical insights for designing intuitive human-robot communication systems. Her findings have implications for collaborative robots in domestic and industrial settings, advancing understanding of when and why people treat robots as social agents.

Research Focus

Key Achievements

3
H-Index
5
Papers
73
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Chef Versus Human Chef: The Effects of Anthropomorphism, Novel Cues, and Cooking Difficulty Level on Food Quality Prediction
35 citations · 2022
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Nanjing University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago