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

Publication date: 23 Apr 2025 Added to AutiHub: 9 Aug 2026 Type: Other Article language: English
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Authors

Publication authors
10
Publication authors identified as autistic
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 *

Abstract

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.

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5 / 72 (6.9%)
Cited author occurrences identified as autistic
9 / 208 (4.3%)
Among occurrences linked to AutiHub author records: 9 / 32 (28.1%). Distinct cited authors identified as autistic: 7 / 202 (3.5%).
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32 / 208 (15.4%)
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23 / 32 (71.9%)
Among linked cited-author occurrences only. Across all cited-author occurrences: 23 / 208 (11.1%). Distinct linked cited authors not identified as autistic: 22 / 29 (75.9%).
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