"I Am Human, Just Like You": What Intersectional, Neurodivergent Lived Experiences Bring to Accessibility Research

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Le, L. (2024). "I Am Human, Just Like You": What Intersectional, Neurodivergent Lived Experiences Bring to Accessibility Research. The 26th International ACM SIGACCESS Conference on Computers and Accessibility, 1-20. https://doi.org/10.1145/3663548.3675651

Publication date: 20 Oct 2024 Added to AutiHub: 21 Oct 2026 Type: Other Article language: English
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Authors

Publication authors
1
Publication authors identified as autistic
1 / 1 (100.0%)
  1. Lindy Le *

Abstract

The increasing prevalence of neurodivergence has led society to give greater recognition to the importance of neurodiversity. Yet societal perceptions of neurodivergence continue to be predominantly negative. Drawing on Critical Disability Studies, accessibility researchers have demonstrated how neuronormative assumptions dominate HCI. Despite their guidance, neurodivergent and disabled individuals are still marginalized in technology research. In particular, intersectional identities remain largely absent from HCI neurodivergence research. In this paper, I share my perspective as an outsider of the academic research community: I use critical autoethnography to analyze my experiences of coming to understand, accept, and value my neurodivergence within systems of power, privilege, and oppression. Using Data Feminism as an accessible and practical guide to intersectionality, I derive three tenets for reconceptualizing neurodivergence to be more inclusive of intersectional experiences: (1) neurodivergence is a functional difference, not a deficit; (2) neurodivergent disability is a moment of friction, not a static label; and (3) neurodivergence accessibility is a collaborative practice, not a one-sided solution. Then, I discuss the tenets in the context of existing HCI research, applying the same intersectional lens. Finally, I offer three suggestions for how accessibility research can apply these tenets in future work, to bridge the gap between accessibility theory and practice in HCI neurodivergence research.

Bibliography cited by this reference

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Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 27 Oct 2026 10:35.

Cited references
259
With a DOI
137
Without a DOI, from raw bibliography text
121
39 / 259 (15.1%) cited references include at least one author identified as autistic.
References with data to complete
53 / 259 (20.5%)
References with detected author names
214 / 259 (82.6%)
Without detected author names
45
Without a structured title
51
Without a stable identifier
119
References with raw author names still to review
44
References with external metadata lookup issues
0
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
567
From DOI or external metadata
559
From validated raw bibliography text
8
Raw names already validated
8
Raw names still to review
44
185 / 567 (32.6%) names are linked to an author already present in AutiHub. 382 / 567 (67.4%) names are not yet linked.
Names linked to a person identified as autistic
47 / 567 (8.3%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 47 / 185 (25.4%). Distinct people identified as autistic: 28 / 490 (5.7%).
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