Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility 2021
DOI: 10.1145/3441852.3471233
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Going Beyond One-Size-Fits-All Image Descriptions to Satisfy the Information Wants of People Who are Blind or Have Low Vision

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Cited by 49 publications
(24 citation statements)
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“…Precisely what constitutes a useful description is still an underexplored question. A central finding from work with BLV users is that one-size-fits-all image descriptions don't address image accessibility needs (Stangl et al, 2021;Muehlbradt and Kane, 2022;Stangl et al, 2020). Stangl et al (2021) specifically tested the importance of the scenario -the source of the image and the informational goal of the user -by placing each image within different source domains (e.g., news or shopping website) which were associated with specific goals (e.g., learning or browsing for a gift).…”
Section: Image Accessibilitymentioning
confidence: 99%
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“…Precisely what constitutes a useful description is still an underexplored question. A central finding from work with BLV users is that one-size-fits-all image descriptions don't address image accessibility needs (Stangl et al, 2021;Muehlbradt and Kane, 2022;Stangl et al, 2020). Stangl et al (2021) specifically tested the importance of the scenario -the source of the image and the informational goal of the user -by placing each image within different source domains (e.g., news or shopping website) which were associated with specific goals (e.g., learning or browsing for a gift).…”
Section: Image Accessibilitymentioning
confidence: 99%
“…A central finding from work with BLV users is that one-size-fits-all image descriptions don't address image accessibility needs (Stangl et al, 2021;Muehlbradt and Kane, 2022;Stangl et al, 2020). Stangl et al (2021) specifically tested the importance of the scenario -the source of the image and the informational goal of the user -by placing each image within different source domains (e.g., news or shopping website) which were associated with specific goals (e.g., learning or browsing for a gift). They find that BLV users have certain description preferences that are stable across scenarios (e.g., people's identity and facial expressions, or the type of location depicted), whereas others are scenario-dependent (e.g., hair color).…”
Section: Image Accessibilitymentioning
confidence: 99%
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“…People with visual impairments (PVI) access images through descriptions. Image descriptions may refer to any spoken or written account of photos generated by humans, computers, or a hybrid of the two [10,17,23,48,60,66,68,85,94], but the term is most often used interchangeably with "image caption" or "alt text" to refer to computer-generated text about an online image [69,70]. A number of tools for computer-generated image descriptions of photos have recently been developed amid the proliferation of smartphones and social media platforms.…”
Section: Introductionmentioning
confidence: 99%