Concevoir pour la neurodiversite dans le milieu universitaire : relever les defis et les opportunites en interaction humain-ordinateur

Titre original en anglais : Designing for Neurodiversity in Academia: Addressing Challenges and Opportunities in Human-Computer Interaction

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Tcherdakoff, N. A. P., Stangroome, G. J., Milton, A., Holloway, C., Cecchinato, M. E., Nonnis, A., Eagle, T., Al Thani, D., Hong, H., & Williams, A. (2025). Designing for Neurodiversity in Academia: Addressing Challenges and Opportunities in Human-Computer Interaction. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 1-5. https://doi.org/10.1145/3706599.3716288

Date de publication: 23/04/2025 Ajout dans AutiHub: 09/08/2026 Type: Autre Langue de l’article: Anglais
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Auteurs

Auteur·ices des publications
10
Auteur·ices de la publication identifié·es comme autistes
1 / 10 (10,0 %)
  1. Nathalie Alexandra Penglin Tcherdakoff
  2. Grace Jane Stangroome
  3. Ashlee Milton
  4. Catherine Holloway
  5. Marta E. Cecchinato
  1. Antonella Nonnis
  2. Tessa Eagle
  3. Dena Al Thani
  4. Hwajung Hong
  5. Anna Williams *

Résumé

Le milieu universitaire est principalement structure autour de normes neurotypiques, ce qui pose des defis importants aux universitaires neurodivergents, lesquels sont souvent confrontes a des obstacles supplementaires qui entravent leur reussite. Ce groupe d'interet special (SIG) examine les experiences de chercheurs neurodivers en interaction humain-ordinateur et explore comment l'IHO peut contribuer a des environnements universitaires plus inclusifs. En reunissant des chercheurs en IHO, des universitaires neurodivers et des allies, ce SIG vise a elaborer des strategies en faveur d'un paysage universitaire plus inclusif envers les personnes neurodivergentes, valorisant et offrant un soutien. Etant donne qu'un bien-etre accru peut stimuler la productivite, relever ces defis peut permettre une production de recherche et des contributions plus importantes, notamment en exploitant le talent et la creativite des personnes neurodivergentes. Nous nous concentrerons sur les defis rencontres aux differents stades de la carriere et dans les differents roles (des etudiants aux universitaires chevronnes, de la recherche au personnel enseignant), et explorerons le role de la technologie dans le milieu universitaire, en evaluant la maniere dont elle attenue et exacerbe les obstacles. En outre, nous visons a examiner de maniere critique la facon dont les politiques et la gouvernance au sein de la communaute IHO influent sur l'inclusion de la neurodiversite.

Academia is primarily structured around neurotypical norms, posing significant challenges for neurodivergent academics, who often face additional barriers that hinder their success. This Special Interest Group (SIG) examines the experiences of neurodiverse researchers in Human-Computer Interaction and explores how HCI can contribute to more inclusive academic environments. By bringing together HCI researchers, neurodiverse academics, and allies, this SIG aims to develop strategies for a more neurodivergent-inclusive, affirming, and supportive academic landscape. Since enhanced well-being can boost productivity, addressing these challenges may unlock greater research output and contributions, particularly by harnessing the talent and creativity of neurodivergent individuals. We will focus on challenges faced across career stages and roles (from students to senior academics, research to teaching staff), and explore the role of technology in academia — assessing how it alleviates and exacerbates barriers. Additionally, we aim to critically examine how policies and governance within the HCI community impact neurodiversity inclusion.

Bibliographie citée par cette référence

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Vue d’ensemble de l’inclusion dans la bibliographie

Ces indicateurs décrivent la bibliographie citée importée pour cette publication. Les métriques de références citées utilisent le total des références citées comme dénominateur. Les métriques d’auteurices cité·es indiquent si elles utilisent toutes les occurrences d’auteurices cité·es ou seulement les occurrences rattachées à des auteurices déjà intégré·es à la base de données AutiHub. Ils utilisent les rattachements mis en cache entre les auteurices cité·es et les auteurices intégré·es à la base de données AutiHub. Dernier calcul : 16/08/2026 11:31.

Références citées
72
Nombre total de références citées intégrées pour cette publication.
Références citées avec un·e auteur·ice identifié·e comme autiste
5 / 72 (6,9 %)
Occurrences d’auteur·ices cité·es identifié·es comme autistes
9 / 208 (4,3 %)
Parmi les occurrences rattachées à des auteurices intégré·es à la base de données AutiHub : 9 / 32 (28,1 %). Auteurices cité·es distinct·es identifié·es comme autistes : 7 / 202 (3,5 %).
Occurrences citées rattachées à la base AutiHub
32 / 208 (15,4 %)
Auteurices cité·es distinct·es rattaché·es : 29 / 202 (14,4 %)
Occurrences rattachées, non identifiées comme autistes
23 / 32 (71,9 %)
Parmi les seules occurrences rattachées. Sur l’ensemble des occurrences d’auteurices cité·es : 23 / 208 (11,1 %). Auteurices cité·es distinct·es rattaché·es, non identifié·es comme autistes : 22 / 29 (75,9 %).
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