Angel Chan
Papers
1
Total Citations
6
H-Index
1
About
Angel Chan is a leading researcher in developmental psycholinguistics and human-robot interaction, with a focus on how children with and without autism spectrum disorder (ASD) acquire and process language. Her work bridges experimental phonetics, clinical linguistics, and social robotics to uncover the mechanisms of communicative alignment. In her highly cited 2023 study, "Phonetic entrainment in L2 human-robot interaction: an investigation of children with and without autism spectrum disorder," Chan demonstrated that children with ASD show distinct patterns of phonetic entrainment—the unconscious adjustment of speech features to match a conversational partner—when interacting with robots. This groundbreaking research challenges traditional views of social communication deficits in ASD, revealing that robotic partners may elicit more adaptive speech behaviors than human interlocutors. With 6 citations in a short time, this work has already influenced both clinical intervention design and human-robot interaction frameworks. Chan’s broader contributions include advancing our understanding of how bilingualism interacts with neurodevelopmental conditions, and her innovative use of robot-mediated paradigms has opened new avenues for studying social communication in ecologically valid yet controlled settings. Her research continues to shape how we think about language development, social cognition, and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1