The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
"Person, Shoes, Tree. Is the Person Naked?" What People with Vision Impairments Want in Image Descriptions
Open accessAbstract
Access to digital images is important to people who are blind or have low vision (BLV). Many contemporary image description efforts do not take into account this population's nuanced image description preferences. In this paper, we present a qualitative study that provides insight into 28 BLV people's experiences with descriptions of digital images from news websites, social networking sites/platforms, eCommerce websites, employment websites, online dating websites/platforms, productivity applications, and e-publications. Our findings reveal how image description preferences vary based on the source where digital images are encountered and the surrounding context. We provide recommendations for the development of next-generation image description technologies inspired by our empirical analysis.
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Captioning Images Taken by People Who Are Blind
Gurari, D., Zhao, Y., Zhang, M., & Bhattacharya, N. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58520-4_25 · Cited by 182
Self-citationAccessible 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
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
Toward Automatic Audio Description Generation for Accessible Videos
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Metadata
- Authors
- Stangl, A., Morris, M. R., & Gurari, D.
- Affiliations
- The University of Texas at Austin (US)
- Microsoft (United States) (US)
- Venue
- Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2020-04-21
- Pages
- 1-13
- OpenAlex
- W2998746484
- Cited by
- 139
- References
- 31
- Citations by year
- 2026: 19 · 2025: 15 · 2024: 25 · 2023: 22 · 2022: 28 · 2021: 22 · 2020: 8
- FWCI
- 27.00
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Funders
- Micorsoft
- Topics
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Keywords
- picture description, blind and visually impaired users, accessibility, digital images, web accessibility, digital platforms
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