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Master Thesis

Reconnaissance des expressions faciales chez les enfants TSA de bas niveau de fonctionnement

Abstract : Objectives: Emotion recognition is essential in the development of social skills. This ability is based on the identification of facial expressions and is impaired in individuals with Autism Spectrum Disorder (ASD). About 50% of individuals with ASD have intellectual disabilities and limited access to verbal communication. However, the majority of facial expression recognition studies currently rely on verbal tasks, effectively excluding low-functioning ASD children. Our study aims at characterizing deficits in facial expression recognition in these children with nonverbal tasks adapted to their abilities.
Methods: 10 ASD children with developmental age between 2 to 5 and 42 typically developing children (TD) aged from 2 to 6 performed non-verbal tasks of matching and categorizing photographs of people expressing happiness, anger, sadness and surprise.
Results: ASD children produced 2 significantly more errors than their TD peers in matching and categorization tasks. This deficit is deeper for anger and surprise.
Conclusion: A methodology based on non-verbal matching and categorization tasks appears relevant to identify deficits in facial expression recognition in low-functioning ASD children. These results open up the possibility of mitigating the current lack of clinical tests adapted to this population.
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Submitted on : Tuesday, September 17, 2019 - 4:52:38 PM
Last modification on : Friday, December 11, 2020 - 3:29:57 AM
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  • HAL Id : dumas-02123851, version 1


Aurélie Giot Levifve, Laure Laspougeas James. Reconnaissance des expressions faciales chez les enfants TSA de bas niveau de fonctionnement. Sciences cognitives. 2018. ⟨dumas-02123851⟩



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