ADHD and Technology Research – Investigated by Neurodivergent Readers

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Spiel, K., Hornecker, E., Williams, A., & Good, J. (2022). ADHD and Technology Research – Investigated by Neurodivergent Readers. CHI Conference on Human Factors in Computing Systems, 1-21. https://doi.org/10.1145/3491102.3517592

Publication date: 28 Apr 2022 Added to AutiHub: 9 Aug 2026 Type: Other Article language: English
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Authors

Publication authors
4
Publication authors identified as autistic
1 / 4 (25.0%)
  1. Katta Spiel
  2. Eva Hornecker
  3. Anna Williams *
  4. Judith Good

Abstract

Technology research for neurodivergent conditions is largely shaped by research aims which privilege neuro-normative outcomes. As such, there is an epistemic imbalance in meaning making about these technologies. We conducted a critical literature review of technologies designed for people with ADHD, focusing on how ADHD is framed, the research aims and approaches, the role of people with ADHD within the research process, and the types of systems being developed within Computing and HCI. Our analysis and review is conducted explicitly from an insider perspective, bringing our perspectives as neurodivergent researchers to the topic of technologies in the context of ADHD. We found that 1) technologies are largely used to ‘mitigate’ the experiences of ADHD which are perceived as disruptive to neurotypical standards of behaviour; 2) little HCI research in the area invites this population to co-construct the technologies or to leverage neurodivergent experiences in the construction of research aims; and 3) participant resistance to deficit frames can be read within the researchers’ own accounts of participant actions. We discuss the implications of this status quo for disabled people and technology researchers alike, and close with a set of recommendations for future work in this area.

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9 / 201 (4.5%)
Cited author occurrences identified as autistic
9 / 516 (1.7%)
Among occurrences linked to AutiHub author records: 9 / 35 (25.7%). Distinct cited authors identified as autistic: 2 / 432 (0.5%).
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26 / 35 (74.3%)
Among linked cited-author occurrences only. Across all cited-author occurrences: 26 / 516 (5.0%). Distinct linked cited authors not identified as autistic: 13 / 15 (86.7%).
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