Web Accessibility Challenges for Disabled and Generation of Alt Text for Images in Websites using Artificial Intelligence
Abstract
There are millions of visually impaired persons worldwide, and their numbers are continually increasing due to the ageing of the baby-boomer generation. The Internet may be extremely beneficial to blind individuals because it allows them to achieve things that they would otherwise be unable to complete without the assistance of others (such as reading mail or managing bank accounts). Education services and online shopping is also increasing day by day in the world of internet. So it is important that education websites, online shopping websites should be accessible to all regardless of their disabilities. This study describes challenges in accessibility of Indian Universities website especially for Visually Impaired. It also discusses its solutions by generating alternate text for images in websites through Artificial Intelligence techniques
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None of the universities examined had publicly documented the use of accessibility-focused AI systems or tools.
“Despite widespread recognition of AI's potential to assist with alt text generation [42], content remediation and real-time accessibility insights [5], and scientific visualizations accessibility [5,64], none of the universities examined had publicly documented the use of accessibility-focused AI systems or tools.”
From Toward universal access to information: an analysis of digital accessibility policy readiness in U.S. public universities (2026) · cites this paper as [42]
The citation lists haven’t been fetched yet
References 14 · Cited by 12
- Authors
- Tiwary, T., & Mahapatra, R. P.
- Affiliations
- SRM Institute of Science and Technology (IN)
- Venue
- 2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)
- Publisher
- IEEE
- Published
- 2022-11-11
- Pages
- 1-5
- OpenAlex
- W4328029029
- Cited by
- 12
- References
- 14
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 4 · 2023: 1
- FWCI
- 3.28
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Issues and Challenges in Intelligent Computing Techniques (publishedVersion)
- Topics
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Social Sciences › Arts and Humanities › Language and Linguistics › Subtitles and Audiovisual Media
- Keywords
- web accessibility, visually impaired users, picture description, artificial intelligence, university websites, online shopping websites, education websites, access barriers, Indian universities
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.
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