“Malicious” Pictorials: How Alt Text Matters to Screen Reader Users' Experience of Image-Dense Media
Open accessAbstract
People who are blind face accessibility and usability barriers every time a digital image author omits or creates uninformative alternative or “alt” text. Often, content creators are simply unaware of screen reader users’ experience and accessibility best practices; there is also a lack of research knowledge about how to design accessible image-dense media, like pictorials. We present (1) a content analysis of 149 pictorials, (2) a thematic analysis of three think-aloud sessions with an expert screen reader user, and (3) practical lessons learned from a co-design workshop with three blind scholars. Our research finds that pictorials are increasingly accessible, but they are still far from providing a usable experience. We identify nine “malicious” alt text patterns that riddle pictorials and three novel accessible alt text patterns to guide authors of image-dense media.
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Existing work shows the need for human subject matter validation for evaluating AI-augmented alt text quality to enhance the interpretation for screen reader users.
“Existing work also shows the need for human subject matter validation for evaluating AI-augmented alt text quality to enhance the interpretation for screen reader users [71, 87].”
From How University Disability Services Professionals Write Image Descriptions for HCI Figures Using Generative AI (2026) · cites this paper as [87]
Cites
Yaşlı Kadınlarda Üreme Sağlığı
Kokanalı, D., & Engin Üstün, Y. (n.d.) · DergiPark (Istanbul University) · Cited by 170,090 · see citing works
(2017) · doi:10.1145/2998181.2998364 · Cited by 258 · see citing works
WebInSight: making web images accessible
Bigham, J. P., Kaminsky, R. S., Ladner, R. E., Danielsson, O. M., & Hempton, G. L. (2006) · Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility · doi:10.1145/1168987.1169018 · Cited by 161 · cited 1× · see citing works
“Another approach has been to explore crowdsourced [6][15] [28] and automated object and scene detection [6][15][41] [10][27][11], as well as automated reuse of existing alt text [6] [15].”
BackgroundStangl, A., Morris, M. R., & Gurari, D. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376404 · Cited by 139 · cited 1× · see citing works
“One approach to these challenges has been to further explore manual and collaborative means of creation, with an emphasis on the importance of context sensitivity and inclusion of expert screen reader users in the authoring process [18][24][20][22][29] [30][4].”
BackgroundAccessible Visualization: Design Space, Opportunities, and Challenges
Kim, N. W., Joyner, S. C., Riegelhuth, A., & Kim, Y. (2021) · Computer Graphics Forum · doi:10.1111/cgf.14298 · Cited by 137 · see citing works
Bennett, C. L., Gleason, C., Scheuerman, M. K., Bigham, J. P., Guo, A., & To, A. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445498 · Cited by 128 · see citing works
Twitter A11y: A Browser Extension to Make Twitter Images Accessible
Gleason, C., Pavel, A., McCamey, E., Low, C., Carrington, P., Kitani, K., & Bigham, J. P. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376728 · Cited by 123 · see citing works
Stangl, A., Verma, N., Fleischmann, K. R., Morris, M. R., & Gurari, D. (2021) · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3441852.3471233 · Cited by 81 · see citing works
Designing Tools for High-Quality Alt Text Authoring
Mack, K., Cutrell, E., Lee, B., & Morris, M. R. (2021) · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3441852.3471207 · Cited by 58 · cited 2× · see citing works
“Another study concludes that manually editing AI-generated descriptions results in significantly lower quality alt text than starting from scratch [22].”
BackgroundFigure Captioning with Relation Maps for Reasoning
Chen, C., Zhang, R., Koh, E., Kim, S., Cohen, S. D., & Rossi, R. A. (2020) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv45572.2020.9093592 · Cited by 36 · see citing works
Creating accessible PDFs for conference proceedings
Brady, E., Zhong, Y., & Bigham, J. P. (2015) · Proceedings of the 12th International Web for All Conference · doi:10.1145/2745555.2746665 · Cited by 35 · see citing works
Generating Accurate Caption Units for Figure Captioning
Qian, X., Koh, E., Du, F., Kim, S., Chan, J., Rossi, R. A., Malik, S., & Lee, T. Y. (2021) · International World Wide Web Conference (WWW) · doi:10.1145/3442381.3449923 · Cited by 34 · see citing works
An Uninteresting Tour Through Why Our Research Papers Aren't Accessible
Bigham, J. P., Brady, E. L., Gleason, C., Guo, A., & Shamma, D. A. (2016) · Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/2851581.2892588 · Cited by 34 · see citing works
Chintalapati, S. S., Bragg, J., & Wang, L. L. (2022) · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3517428.3544796 · Cited by 31 · see citing works
Simons, R. N., Gurari, D., & Fleischmann, K. R. (2020) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3415176 · Cited by 27 · see citing works
Toward supporting quality alt text in computing publications
Williams, C., de Greef, L., Harris, E., Findlater, L., Pavel, A., & Bennett, C. (2022) · Proceedings of the 19th International Web for All Conference · doi:10.1145/3493612.3520449 · Cited by 26 · see citing works
Kreiss, E., Bennett, C., Hooshmand, S., Zelikman, E., Ringel Morris, M., & Potts, C. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/2022.emnlp-main.309 · Cited by 24 · see citing works
What's in an ALT Tag? Exploring Caption Content Priorities through Collaborative Captioning
Muehlbradt, A., & Kane, S. K. (2022) · ACM Transactions on Accessible Computing · doi:10.1145/3507659 · Cited by 22 · see citing works
Making the field of computing more inclusive
Lazar, J., Churchill, E. F., Grossman, T., van der Veer, G., Palanque, P., Morris, J. "., & Mankoff, J. (2017) · Communications of the ACM · doi:10.1145/2993420 · Cited by 21 · see citing works
Edwards, E. J., Polster, K. L., Tuason, I., Blank, E., Gilbert, M., & Branham, S. M. (2021) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3441852.3471222 · Cited by 12 · see citing works
Self-citationAuthor Reflections on Creating Accessible Academic Papers
Menzies, R., Tigwell, G. W., & Crabb, M. (2022) · ACM Transactions on Accessible Computing · doi:10.1145/3546195 · Cited by 12 · see citing works
A framework for improving the accessibility of research papers on arXiv.org
Brinn, S., Cameron, C., Fielding, D., Frankston, C., Fromme, A., Huang, P., Nazzaro, M., Orphan, S., Sigurdsson, S., Tay, R., et al. (2022) · arXiv · doi:10.48550/arxiv.2212.07286 · Cited by 11 · see citing works
Williamson, J. (2020) · interactions · doi:10.1145/3381434 · Cited by 1 · see citing works
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Perera, M., Ananthanarayan, S., Goncu, C., & Marriott, K. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713634 · Cited by 14 · see citing works
Chart Accessibility: A Review of Current Alt Text Generation
Yan, C., Hutter, H.-P., Schmitt-Koopmann, F. M., & Darvishy, A. (2025) · IEEE Access · doi:10.1109/access.2025.3571626 · Cited by 5 · see citing works
Tang, X., & Piper, A. M. (2026) · Designing Interactive Systems Conference · doi:10.1145/3800645.3813075 · Cited by 2 · see citing works
Raees, M., Iwamoto, Y., Papangelis, K., Heard, J., & Tigwell, G. W. (2026) · arXiv · doi:10.48550/arxiv.2602.08937 · Cited by 1 · see citing works
“Participants also felt that they needed more understanding to write appropriate alt text for the figures, even with ChatGPT, as P12 said, “Its fine for creating a first draft.”
InfluentialIwamoto, Y., Raees, M., Heard, J., & Tigwell, G. W. (2025) · Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3663547.3759763 · Cited by 1 · see citing works
Thammachokmongkol, P., Lapawong, W., & Rueangsirarak, W. (2025) · doi:10.1109/incit66780.2025.11276028
Blevis, S. A., Blevis, E., Lewis, M., & Sturdee, M. (2026) · Design research foundations · doi:10.1007/978-3-032-14200-9_1
Accessible Alt-Text Generation of 2D Graphs with Multimodal LLMs: Comparison and Evaluation
Cardia, M., Poggianti, C., Leporini, B., Pelagatti, S., & Chessa, S. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-38407-2_59
What It Really Takes to Make an Academic PDF Accessible
Yin, A., Arcos, K., & Branham, S. M. (2026) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3797867.3832768
Self-citationHassan, S., Khalaila, A., Cashman, D., Sharif, A., & Faust, R. (2026) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3797867.3829030
- Authors
- Yin, A., Sogani, R., Oewel, B., Phan, K., Park, J. S. Y., Yeo, M. A., Yazzolino, L. A., Arcos, K., Abdolrahmani, A., Blank, E., Gilbert, M. D., & Branham, S. M.
- Affiliations
- University of California, Irvine (US)
- Indraprastha Institute of Information Technology Delhi (IN)
- Johns Hopkins University (US)
- University of Maryland, Baltimore County (US)
- Google (United States) (US)
- ORCID
- Venue
- Designing Interactive Systems Conference
- Publisher
- ACM
- Published
- 2024-07
- Pages
- 1262-1274
- OpenAlex
- W4400142772
- Cited by
- 9
- References
- 23
- Citations by year
- 2026: 5 · 2025: 4
- FWCI
- 4.92
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Designing Interactive Systems Conference (publishedVersion, cc-by-nd)
- Topics
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Keywords
- alt text, screen readers, blind users, pictorials, accessibility, think-aloud
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