The mentor-child paradigm for individuals with autism spectrum disorders
Marion Dubois-Sage, Baptiste Jacquet, Frank Jamet, Jean Baratgin
TL;DR
This paper explores using a robot-based mentor-child paradigm to better assess and support socio-cognitive abilities in individuals with Autism Spectrum Disorders, addressing potential underestimations in traditional evaluations.
Contribution
It introduces a robot-mediated mentor-child paradigm tailored for autism assessment and discusses necessary adaptations for effective implementation.
Findings
Potential for more reliable socio-cognitive evaluation
Identification of adaptations needed for autism-specific interactions
Foundation for future robot-assisted therapeutic approaches
Abstract
Our aim is to analyze the relevance of the mentor-child paradigm with a robot for individuals with Autism Spectrum Disorders, and the adaptations required. This method could allow a more reliable evaluation of the socio-cognitive abilities of individuals with autism, which may have been underestimated due to pragmatic factors.
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Taxonomy
TopicsAutism Spectrum Disorder Research · Family and Disability Support Research