Combiner l’intelligence humaine et artificielle pour soutenir les compétences de communication sociale des enfants autistes
Titre original en anglais : Blending Human and Artificial Intelligence to Support Autistic Children’s Social Communication Skills
Cette publication est incluse dans le projet « Contributions académiques de personnes autistes sur l’autisme ». un auteur·ice de cette publication est identifié·e comme autiste dans le projet.
À propos de la mention auteur·ice autistePorayska-Pomsta, K., Alcorn, A. M., Avramides, K., Beale-Ellis, S., Bernardini, S., Foster, M. E., Frauenberger, C., Good, J., Guldberg, K., Keay-Bright, W., Kossyvaki, L., Lemon, O., Mademtzi, M., Menzies, R., Pain, H., Rajendran, G., Waller, A., Wass, S., & Smith, T. J. (2018). Blending Human and Artificial Intelligence to Support Autistic Children’s Social Communication Skills. ACM Transactions on Computer-Human Interaction, 25(6), 1-35. https://doi.org/10.1145/3271484
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Auteurs
Résumé
Cet article examine l’efficacité éducative d’un environnement d’apprentissage dans lequel des enfants diagnostiqués avec des troubles du spectre de l’autisme (ASC) s’engagent dans des interactions sociales avec un agent virtuel doté d’intelligence artificielle (IA), et dans lequel un praticien humain intervient pour soutenir les interactions. Une étude d’intervention multisite dans des écoles du Royaume-Uni a été menée auprès de 29 enfants présentant des ASC et des difficultés d’apprentissage, âgés de 4 à 14 ans. Pour des raisons liées à l’exhaustivité des données et à la durée d’exposition à l’environnement d’IA, les données de 15 enfants ont été incluses dans l’analyse. L’analyse a révélé une augmentation significative de la proportion de réponses sociales produites par les enfants ASC à l’intention des praticiens humains. Le nombre d’initiations adressées aux praticiens humains et à l’agent virtuel par les enfants ASC a également augmenté numériquement au cours des séances. Toutefois, en raison de grandes différences individuelles au sein du groupe ASC, cette augmentation n’a pas atteint le seuil de significativité. Bien qu’aucune preuve de transfert au post-test dans le monde réel n’ait été observée, des données anecdotiques de transfert en classe ont été rapportées. Le travail présenté dans cet article apporte une contribution importante au corpus croissant de recherches portant sur la conception et l’utilisation des technologies d’IA pour l’intervention dans l’autisme, dans des contextes scolaires réels. Plus précisément, ce travail met en évidence des défis et des possibilités méthodologiques essentiels dans ce domaine en mobilisant des perspectives interdisciplinaires de manière à : (i) établir un lien entre les interventions éducatives et les pratiques de conception de technologies intelligentes ; (ii) considérer la conception de la technologie ainsi que la conception de son utilisation (contexte et procédures) sur un pied d’égalité ; et (iii) inclure des contributions à la conception de différentes parties prenantes, notamment des enfants avec et sans diagnostic d’ASC, des praticiens de l’éducation et des chercheurs.
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