La co-evolution du langage, de la technologie et de la culture dans la recherche informatique sur l'autisme : enseignements tirés de l'ACM Digital Library

Titre original en anglais : The Co-Evolution of Language, Technology, and Culture in Autism Computing Research: Lessons Learned From ACM Digital Library

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Koronthály, D., Heffelman, A., Magsi, H., Zuber, W., Sharmin, M., & Ahmed, S. (2025). The Co-Evolution of Language, Technology, and Culture in Autism Computing Research: Lessons Learned From ACM Digital Library. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 9(4), 1-31. https://doi.org/10.1145/3770638

Date de publication: 02/12/2025 Ajout dans AutiHub: 20/10/2026 Type: Article Langue de l’article: Anglais
Source éditeur (DOI) Texte intégral Source OpenAlex

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Auteurs

Auteur·ices des publications
6
Auteur·ices de la publication identifié·es comme autistes
0 / 6 (0,0 %)
  1. Daniel Koronthály
  2. Adrian Heffelman
  3. Hamza Magsi
  1. Wil Zuber
  2. Moushumi Sharmin
  3. Shameem Ahmed

Résumé

Au cours des deux dernières décennies, la recherche informatique sur l'autisme a connu une croissance considérable, mettant en évidence son potentiel pour améliorer l'expérience des personnes autistes. Notre recherche offre une compréhension détaillée du paysage de la recherche informatique sur l'autisme dans l'ACM Digital Library en réalisant une revue de la littérature (N=533). Notre analyse révèle que la recherche informatique sur l'autisme manque d'inclusivité dans plusieurs dimensions démographiques importantes, notamment l'identité de genre, l'âge et la culture. La technologie développée est largement axée sur le diagnostic (p. ex., la détection de l'autisme) et sur la prise en compte des besoins des enfants autistes (p. ex., l'amélioration de la communication sociale), tout en ignorant les difficultés rencontrées par les personnes autistes âgées et les adultes autistes (p. ex., la vie autonome et l'emploi). De plus, la recherche informatique sur l'autisme dans l'ACM Digital Library est concentrée en Amérique du Nord et en Europe, avec une représentation inexistante ou faible de l'Afrique, de l'Amérique du Sud et de l'Océanie. Nous identifions des domaines qui méritent une attention particulière et fournissons des lignes directrices concrètes pour renforcer l'inclusivité et la généralisabilité de la recherche informatique sur l'autisme.

In the last two decades, autism research in computing has experienced tremendous growth, highlighting the potential to improve the experience of autistic individuals. Our research offers a detailed understanding of the landscape of autism computing research in the ACM Digital Library by conducting a literature review (N=533). Our analysis reveals that autism computing research lacks inclusiveness in several important demographic dimensions, including gender identity, age, and culture. The developed technology is largely focused on diagnosis (e.g., autism detection) and addressing the needs of autistic children (e.g., improving social communication) while ignoring the challenges of autistic elderly and adults (e.g., independent living and employment). Also, autism computing research in the ACM Digital Library is concentrated in North America and Europe, with no or little representation from Africa, South America, and Oceania. We identify areas that deserve attention and provide actionable guidelines to enhance the inclusiveness and generalizability of autism research in computing.

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Références citées
65
Avec un DOI
40
Sans DOI, à partir du texte brut de la bibliographie
25
10 / 65 (15,4 %) références citées comprennent au moins une personne identifiée comme autiste.
Références avec données à compléter
3 / 65 (4,6 %)
Références avec noms d’auteurices détectés
62 / 65 (95,4 %)
Sans nom d’auteurice détecté
3
Sans titre structuré
3
Sans identifiant stable
25
Références avec noms bruts d’auteurices restant à vérifier
3
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
186
À partir du DOI ou de métadonnées externes
186
À partir du texte brut validé de la bibliographie
0
Noms bruts déjà validés
0
Noms bruts restant à vérifier
3
60 / 186 (32,3 %) noms sont associés à un·e auteurice déjà présent·e dans AutiHub. 126 / 186 (67,7 %) noms ne sont pas encore associés.
Noms associés à une personne identifiée comme autiste
15 / 186 (8,1 %)
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 : 15 / 60 (25,0 %). Personnes distinctes identifiées comme autistes : 15 / 179 (8,4 %).
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