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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The text we found for this paper looks like another document, so the self-check wasn’t run.
Citations
Cites
Microsoft COCO: Common Objects in Context
Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., & Zitnick, C. L. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10602-1_48 · Cited by 45,460
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
(1993) · doi:10.1109/cvpr.1993 · Cited by 17,989
Show and tell: A neural image caption generator
Vinyals, O., Toshev, A., Bengio, S., & Erhan, D. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298935 · Cited by 6,318
From captions to visual concepts and back
Fang, H., Gupta, S., Iandola, F., Srivastava, R. K., Deng, L., Dollár, P., Gao, J., He, X., Mitchell, M., Platt, J. C., et al. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7298754 · Cited by 1,321
VizWiz: nearly real-time answers to visual questions
Bigham, J. P., Jayant, C., Ji, H., Little, G., Miller, A., Miller, R. C., Miller, R., Tatarowicz, A., White, B., White, S., et al. (2010) · Proceedings of the 23nd annual ACM symposium on User interface software and technology · doi:10.1145/1866029.1866080 · Cited by 601
(2017) · doi:10.1145/2998181.2998364 · Cited by 258
Understanding Blind People's Experiences with Computer-Generated Captions of Social Media Images
MacLeod, H., Bennett, C. L., Morris, M. R., & Cutrell, E. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025814 · Cited by 200
Self-citationHow Blind People Interact with Visual Content on Social Networking Services
Voykinska, V., Azenkot, S., Wu, S., & Leshed, G. (2016) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2818048.2820013 · Cited by 190
How many participants are really enough for usability studies?
Alroobaea, R., & Mayhew, P. J. (2014) · Science and Information Conference · doi:10.1109/sai.2014.6918171 · Cited by 184
Rich Representations of Visual Content for Screen Reader Users
Morris, M. R., Johnson, J., Bennett, C. L., & Cutrell, E. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173633 · Cited by 159
Self-citationMorris, M., Zolyomi, A., Yao, C., Bahram, S., Bigham, J., & Kane, S. K. (2016) · International Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858116 · Cited by 157
Self-citationMaximum accessibility : making your Web site more usable for everyone
Slatin, J. M., & Rush, S. (2002) · International Linear Collider · Cited by 136
Toward fairness in AI for people with disabilities SBG@a research roadmap
Guo, A., Kamar, E., Vaughan, J. W., Wallach, H., & Morris, M. R. (2020) · ACM SIGACCESS Accessibility and Computing · doi:10.1145/3386296.3386298 · Cited by 128
Self-citationRich Image Captioning in the Wild
Tran, K., He, X., Zhang, L., & Sun, J. Z. (2016) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2016.61 · Cited by 110
Caption Crawler: Enabling Reusable Alternative Text Descriptions using Reverse Image Search
Guinness, D., Cutrell, E., & Morris, M. R. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174092 · Cited by 108
Self-citationCrowdsourcing subjective fashion advice using VizWiz
Burton, M. A., Brady, E. L., Brewer, R. N., Neylan, C., Bigham, J. P., & Hurst, A. K. (2012) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/2384916.2384941 · Cited by 102
How Teens with Visual Impairments Take, Edit, and Share Photos on Social Media
Bennett, C. L., E, J. L., Mott, M. E., Cutrell, E. B., & Morris, M. R. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173650 · Cited by 94
Self-citationSalisbury, E., Kamar, E. S., & Morris, M. R. (2017) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing · doi:10.1609/hcomp.v5i1.13301 · Cited by 85
Self-citationExploring the Role of Conversational Cues in Guided Task Support with Virtual Assistants
Vtyurina, A., & Fourney, A. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173782 · Cited by 83
Porter, J. R., Sobel, K., Fox, S., Bennett, C. L., & Kientz, J. A. (2017) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3134722 · Cited by 81
Web accessibility guidelines: A lesson from the evolving Web
Harper, S., & Chen, A. Q. (2012) · World Wide Web · doi:10.1007/s11280-011-0130-8 · Cited by 72
The design of human-powered access technology
Bigham, J. P., Ladner, R. E., & Borodin, Y. (2011) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/2049536.2049540 · Cited by 70
Gauging Receptiveness to Social Microvolunteering
Brady, E. L., Morris, M. R., & Bigham, J. P. (2015) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702329 · Cited by 69
Self-citationGuiding Novice Web Workers in Making Image Descriptions Using Templates
Morash, V. S., Siu, Y.-T., Miele, J. A., Hasty, L., & Landau, S. (2015) · ACM Transactions on Accessible Computing · doi:10.1145/2764916 · Cited by 69
Zhong, Y., Lasecki, W. S., Brady, E. L., & Bigham, J. P. (2015) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702437 · Cited by 68
Zhao, Y., Wu, S., Reynolds, L., & Azenkot, S. (2017) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3134756 · Cited by 68
BrowseWithMe: An Online Clothes Shopping Assistant for People with Visual Impairments
Stangl, A. J., Kothari, E., Jain, S. D., Yeh, T., Grauman, K., & Gurari, D. (2018) · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3234695.3236337 · Cited by 66 · cited 5×
“Automated image description approaches employ artificial intelligence models to generate image descriptions [24, 14, 38, 37, 43, 35].”
BackgroundMethodInfluentialSelf-citationWhy Does a Visual Question Have Different Answers?
Bhattacharya, N., Li, Q., & Gurari, D. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00437 · Cited by 61
Self-citation"Is Someone There? Do They Have a Gun"
Branham, S. M., Abdolrahmani, A., Easley, W., Scheuerman, M. K., Ronquillo, E., & Hurst, A. K. (2017) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3132525.3132534 · Cited by 57
Ferrell, K. A., Correa-Torres, S. M., Howell, J. J., Pearson, R., Carver, W. M., Groll, A. S., Anthony, T. L., Matthews, D., Gould, B., O’Connell, T., et al. (2017) · Journal of Visual Impairment & Blindness · doi:10.1177/0145482x1711100403 · Cited by 38
Salisbury, E., Kamar, E. S., & Morris, M. R. (2018) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2018/751 · Cited by 17
Self-citation
Research works printed but not linked: 9
- Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2 (2006), 77--101.
- Cole Gleason, Patrick Carrington, Cameron Cassidy, Meredith Ringel Morris, Kris M. Kitani, and Jeffrey P. Bigham. 2019. &Ldquo;It's Almost Like They'Re Trying to Hide It&Rdquo;: How User-Provided Image Descriptions Have Failed to Make Twitter Accessible. In The World Wide Web Conference (WWW '19). ACM, NY, NY, USA, 549--559.
- Danna Gurari, Qing Li, Abigale J. Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, and Jeffrey P. Bigham. 2018. VizWiz Grand Challenge: Answering Visual Questions From Blind People. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
- AI Now Institute. 2019. Disability, Bias, and AI. https://ainowinstitute.org/disabilitybiasai-2019.pdf. (November 2019). (Accessed on 01/02/2020).
- Os Keyes and Cynthia L. Bennett. 2019. What Is the Point of Fairness? Disability, AI and The Complexity of Justice. arXiv preprint arXiv:1908.01024 (2019). · arXiv
- Jonathan Lazar, Alfreda Dudley-Sponaugle, and Kisha-Dawn Greenidge. 2004. Improving web accessibility: a study of webmaster perceptions. Computers in human behavior 20, 2 (2004), 269--288.
- Meredith Ringel Morris. 2019. AI and Accessibility: A Discussion of Ethical Considerations. arXiv preprint arXiv:1908.08939 (2019). · arXiv
- Helen Petrie, Chandra Harrison, and Sundeep Dev. 2005. Describing images on the web: a survey of current practice and prospects for the future. Proceedings of Human Computer Interaction International (HCII) 71 (2005).
- Anselm Strauss and Juliet Corbin. 1998. Basics of qualitative research techniques. Sage publications Thousand Oaks, CA.
Cited by
Sorted by citations
CLIPScore: A Reference-free Evaluation Metric for Image Captioning
Hessel, J., Holtzman, A., Forbes, M., Le Bras, R., & Choi, Y. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/2021.emnlp-main.595 · Cited by 1,232
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
Wang, Y., Liang, W., Huang, H., Zhang, Y., Li, D., & Yu, L.-F. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445347 · Cited by 87
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
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
