Wenxu Song
Papers
4
Total Citations
148
H-Index
3
About
Wenxu Song is a developmental and cognitive researcher whose work sits at the intersection of social robotics, child development, and autism spectrum disorders (ASD). Song's research has made meaningful contributions to our understanding of how children with ASD interact with and learn from social robots, exploring whether these emerging technologies can serve as effective therapeutic and educational tools. Among Song's most influential work is a 2019 study examining how children with ASD can learn complex social rules — including distrust and deception — through robot-mediated interactions, which has garnered 79 citations and helped establish robots as viable scaffolding agents for nuanced social learning. Additional highly cited studies investigate whether social robots can improve gaze behavior and joint attention in children with ASD, as well as how children attribute false beliefs to robots — a phenomenon Song termed "Theory of Robot Mind." Collectively, these contributions have advanced the field of robot-assisted intervention and raised important questions about the cognitive and social boundaries between human and machine interaction. Song's body of work provides valuable guidance for clinicians, educators, and technologists working to support children with ASD through innovative, technology-driven approaches.
Research Focus
Key Achievements
Top Papers
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