Imagining Artificial Intelligence Applications with People with Visual Disabilities using Tactile Ideation
Abstract
There has been a surge in artificial intelligence (AI) technologies co-opted by or designed for people with visual disabilities. Researchers and engineers have pushed technical boundaries in areas such as computer vision, natural language processing, location inference, and wearable computing. But what do people with visual disabilities imagine as their own technological future? To explore this question, we developed and carried out tactile ideation workshops with participants in the UK and India. Our participants generated a large and diverse set of ideas, most focusing on ways to meet needs related to social interaction. In some cases, this was a matter of recognizing people. In other cases, they wanted to be able to participate in social situations without foregrounding their disability. It was striking that this finding was consistent across UK and India despite substantial cultural and infrastructural differences. In this paper, we describe a new technique for working with people with visual disabilities to imagine new technologies that are tuned to their needs and aspirations. Based on our experience with these workshops, we provide a set of social dimensions to consider in the design of new AI technologies: social participation, social navigation, social maintenance, and social independence. We offer these social dimensions as a starting point to forefront users' social needs and desires as a more deliberate consideration for assistive technology design.
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Digital banking has several benefits for marginalized populations.
“HCI and CSCW research has found that digital banking has several benefits for marginalized populations [22,40,44,52].”
From Advocacy as Access Work: How People with Visual Impairments Gain Access to Digital Banking in India (2023) · cites this paper as [40]
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Sharma, S. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-5538-1.ch004 · Cited by 2 · see citing works
Challenges of Enabling End-Users to Develop Systems with AI
Tetteroo, D. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-34433-6_16 · Cited by 1 · see citing works
Afsal, C. P., & Kuppusamy, K. S. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-97-5703-9_34 · Cited by 1 · see citing works
Hayh, J. D., Joseph, S., Dirks, S., & Namboodiri, V. (2025) · Technology and Disability · doi:10.1177/10554181251355426 · Cited by 1 · see citing works
Adigun, O. T., Haihambo, C. K., Veii, K., Hengari, J. U., & Simasiku, E. L. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7508-3.ch001 · Cited by 2 · see citing works
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AN EXTENSIVE ANALYSIS OF THE HURDLES IN EMBRACING AI AMONG PEOPLE WITH SPECIAL NEEDS USING AHP
Mahendher, S., & Bharadwaj, S. (2024) · International Journal of the Analytic Hierarchy Process · doi:10.13033/ijahp.v15i3.1178
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Emerging Trends in Artificial Intelligence and Blindness: A Delphi Study
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Keeping Community-in-the-Loop: A Novel Methodology for UX Research
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Reclaiming the Future: Visions of AI and Disability in the 2020s
Vader, M.-L., Romero, E. M., Heydarian, C. H., Baguhn, S. J., & Silverman, A. M. (2026) · International Cross-Disciplinary Conference on Web Accessibility · doi:10.1145/3800424.3800611
AI Design Sprints: Facilitating AI Innovation within Cross-functional Industry Teams
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Machine Learning in Its Social Context
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Artificially Intelligent Technology for the Margins
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- Authors
- Morrison, C., Cutrell, E., Dhareshwar, A., Doherty, K., Thieme, A., & Taylor, A.
- Affiliations
- Microsoft Research (United Kingdom) (GB)
- Microsoft (United States) (US)
- Microsoft, Bangalore, India
- Venue
- Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility
- Publisher
- ACM
- Published
- 2017-10-19
- Pages
- 81-90
- OpenAlex
- W2762353381
- Cited by
- 69
- References
- 56
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 8 · 2023: 10 · 2022: 12 · 2021: 10 · 2020: 6 · 2019: 3 · 2018: 3
- FWCI
- 9.01
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) (publishedVersion)
- City Research Online (City University London) (acceptedVersion)
- Topics
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Keywords
- visual impairment, assistive technology design, artificial intelligence applications, social participation, social navigation, social maintenance, social independence, person recognition, disability visibility, inclusive design, participatory design workshops
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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