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 autiste

Porayska-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

Date de publication: 20/12/2018 Ajout dans AutiHub: 23/09/2026 Type: Article Langue de l’article: Anglais

Cette publication est intégrée dans AutiHub via :

Auteurs

Auteur·ices des publications
19
Auteur·ices de la publication identifié·es comme autistes
1 / 19 (5,3 %)

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.

This article examines the educational efficacy of a learning environment in which children diagnosed with Autism Spectrum Conditions (ASC) engage in social interactions with an artificially intelligent (AI) virtual agent and where a human practitioner acts in support of the interactions. A multi-site intervention study in schools across the UK was conducted with 29 children with ASC and learning difficulties, aged 4--14 years old. For reasons related to data completeness and amount of exposure to the AI environment, data for 15 children was included in the analysis. The analysis revealed a significant increase in the proportion of social responses made by ASC children to human practitioners. The number of initiations made to human practitioners and to the virtual agent by the ASC children also increased numerically over the course of the sessions. However, due to large individual differences within the ASC group, this did not reach significance. Although no evidence of transfer to the real-world post-test was shown, anecdotal evidence of classroom transfer was reported. The work presented in this article offers an important contribution to the growing body of research in the context of AI technology design and use for autism intervention in real school contexts. Specifically, the work highlights key methodological challenges and opportunities in this area by leveraging interdisciplinary insights in a way that (i) bridges between educational interventions and intelligent technology design practices, (ii) considers the design of technology as well as the design of its use (context and procedures) on par with one another, and (iii) includes design contributions from different stakeholders, including children with and without ASC diagnosis, educational practitioners, and researchers.

Bibliographie citée par cette référence

Les références citées sont importées depuis des sources externes de métadonnées lorsqu’elles sont disponibles. La liste peut être partielle.

Vue d’ensemble de la bibliographie citée

Ces indicateurs décrivent la bibliographie citée par cette publication. Un nom d’auteurice est compté chaque fois qu’il apparaît dans une référence citée : une même personne peut donc être comptée plusieurs fois. Les noms qui ne sont pas encore associés à un·e auteurice déjà présent·e dans AutiHub sont traités comme inconnus, pas comme non autistes. Dernier calcul : 02/10/2026 01:01.

Références citées
111
Avec un DOI
84
Sans DOI, à partir du texte brut de la bibliographie
19
0 / 111 (0,0 %) références citées comprennent au moins une personne identifiée comme autiste.
Références avec données à compléter
7 / 111 (6,3 %)
Références avec noms d’auteurices détectés
104 / 111 (93,7 %)
Sans nom d’auteurice détecté
7
Sans titre structuré
4
Sans identifiant stable
19
Références avec noms bruts d’auteurices restant à vérifier
5
Références avec problème de récupération des métadonnées externes
0
Ces indicateurs portent sur les références citées affichées sur cette page, après fusion des doublons techniques. Une référence sans DOI peut quand même soutenir les statistiques d’auteurices lorsqu’un titre et des noms d’auteurices sont disponibles.
Noms d’auteurices détectés dans la bibliographie citée
387
À partir du DOI ou de métadonnées externes
387
À partir du texte brut validé de la bibliographie
0
Noms bruts déjà validés
0
Noms bruts restant à vérifier
13
107 / 387 (27,6 %) noms sont associés à un·e auteurice déjà présent·e dans AutiHub. 280 / 387 (72,4 %) noms ne sont pas encore associés.
Noms associés à une personne identifiée comme autiste
0 / 387 (0,0 %)
Calculé sur l’ensemble des noms d’auteurices détectés dans la bibliographie citée. Parmi les noms associés à un·e auteurice déjà présent·e dans AutiHub : 0 / 107 (0,0 %). Personnes distinctes identifiées comme autistes : 0 / 311 (0,0 %).
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