Papers
25
Total Citations
464
H-Index
13
About
Pauline Chevalier is a researcher at the intersection of human-robot interaction, social cognition, and assistive technology, with a particular focus on leveraging robotics to support individuals with Autism Spectrum Disorder (ASD). Her most influential work explores how humanoid robots — most notably the NAO robot — can serve as powerful tools for studying and training core social skills such as joint attention, emotion recognition, and imitation in autistic children. Her 2019 review on joint attention and humanoid robots (95 citations) stands as a landmark contribution to the field, synthesizing methodological approaches and advocating for robotic platforms as uniquely controlled, repeatable stimuli for probing fundamental mechanisms of social cognition. Chevalier's research consistently addresses how individual sensory preferences among children with ASD shape their responses to robotic and virtual agents, producing important insights for personalized intervention design. Her work on robot-assistive training efficacy (46 citations) and comparative studies of robots versus virtual agents demonstrates a rigorous, translational approach to socially assistive technology. More recently, her concept of "artificial scaffolding" (2023) has broadened the theoretical framing of her work. With over 375 total citations, Chevalier's contributions meaningfully advance both our scientific understanding of social cognition and the practical development of inclusive, technology-mediated therapies.
Research Focus
Key Achievements
Top Papers
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- 4Co-manipulation with a library of virtual guiding fixtures33 citations · 2017
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- 10Iterative virtual guides programming for human-robot comanipulation22 citations · 2017