Légitimité neurodivergente dans les espaces de l'informatique

Titre original en anglais : Neurodivergent Legitimacy in Computing Spaces

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

Kirdani-Ryan, M. & Ko, A. J. (2024). Neurodivergent Legitimacy in Computing Spaces. ACM Transactions on Computing Education, 24(4), 1-28. https://doi.org/10.1145/3690651

Date de publication: 04/09/2024 Ajout dans AutiHub: 20/10/2026 Type: Article Langue de l’article: Anglais

Cette publication est intégrée dans AutiHub via :

Auteurs

Auteur·ices des publications
2
Auteur·ices de la publication identifié·es comme autistes
1 / 2 (50,0 %)

Résumé

Pour que l'informatique serve l'humanité, les espaces de l'informatique doivent être sûrs pour tous les individus. Alors que des travaux antérieurs ont mis au jour la manière dont des attentes hégémoniques raciales et genrées se manifestent dans l'informatique, ils n'ont abordé qu'indirectement les attentes entourant la neurodivergence. Les stéréotypes associés à l'informatique étant largement alignés sur les stéréotypes concernant certains individus neurodivergents, nous avons examiné si l'informatique légitimait les traits neurodivergents plutôt que les traits neuronormatifs. Nous avons mené des entretiens semi-structurés avec 21 étudiants, membres du corps professoral et professionnels de l'industrie, en échantillonnant à la fois des participants s'identifiant comme neurodivergents et des participants ne s'identifiant pas comme neurodivergents. Nous avons constaté que l'informatique légitimait l'hyperfocalisation, des intérêts « spéciaux » approfondis et une grande organisation, et que la conformité à ces attentes était fréquemment requise pour persévérer. Certains participants s'identifiant comme neurodivergents estimaient que l'informatique offrait un refuge contre les attentes neuronormatives de la société, bien que le sentiment de refuge d'une personne dépende d'une adéquation suffisante avec les attentes neurodivergentes de l'informatique. Nous proposons des réflexions sur les efforts d'inclusion et d'appartenance au sein de l'informatique, ainsi que des orientations pour de futurs travaux qui prennent en compte les identités neurodivergentes des individus.

For computing to serve humanity, computing spaces must be safe for all individuals. While prior work has surfaced how hegemonic racial and gendered expectations manifest in computing, it has only indirectly attended to expectations surrounding neurodivergence. As computing stereotypes largely align with stereotypes of some neurodivergent individuals, we investigated whether computing legitimized neurodivergent traits over neuronormative ones. We conducted semi-structured interviews with 21 students, faculty, and industry professionals, sampling both neurodivergent-identifying and non-neurodivergent-identifying participants. We found that computing legitimized hyper-focus, deep “special” interests, and high organization, and that fitting these expectations was frequently required for persistence. Some neurodivergent-identifying participants felt that computing provided refuge from societal neuronormative expectations, though one’s sense of refuge depended on sufficiently fitting computing’s neurodivergent expectations. We offer reflections on inclusion and belonging efforts within computing, as well as directions for future work that attends to individuals’ neurodivergent identities.

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 : 28/10/2026 01:01.

Références citées
159
Avec un DOI
112
Sans DOI, à partir du texte brut de la bibliographie
46
26 / 159 (16,4 %) références citées comprennent au moins une personne identifiée comme autiste.
Références avec données à compléter
13 / 159 (8,2 %)
Références avec noms d’auteurices détectés
148 / 159 (93,1 %)
Sans nom d’auteurice détecté
11
Sans titre structuré
9
Sans identifiant stable
43
Références avec noms bruts d’auteurices restant à vérifier
6
Références avec problème de récupération des métadonnées externes
1
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
396
À partir du DOI ou de métadonnées externes
395
À partir du texte brut validé de la bibliographie
1
Noms bruts déjà validés
1
Noms bruts restant à vérifier
6
152 / 396 (38,4 %) noms sont associés à un·e auteurice déjà présent·e dans AutiHub. 244 / 396 (61,6 %) noms ne sont pas encore associés.
Noms associés à une personne identifiée comme autiste
36 / 396 (9,1 %)
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 : 36 / 152 (23,7 %). Personnes distinctes identifiées comme autistes : 26 / 362 (7,2 %).
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