Accessibility of Profile Pictures: Alt Text and Beyond to Express Identity Online
Martez E. Mott, John C. Tang, Edward Cutrell
摘要
Profile pictures can convey rich social signals that are often inaccessible to blind and low vision screen reader users. Although there have been efforts to understand screen reader users’ preferences for alternative (alt) text descriptions when encountering images online, profile pictures evoke distinct information needs. We conducted semi-structured interviews with 16 screen reader users to understand their preferences for various styles of profile picture image descriptions in different social contexts. We also interviewed seven sighted individuals to explore their thoughts on authoring alt text for profile pictures. Our findings suggest that detailed image descriptions and user narrated alt text can provide screen reader users enjoyable and informative experiences when exploring profile pictures. We also identified mismatches between how sighted individuals would author alt text with what screen reader users prefer to know about profile pictures. We discuss the implications of our findings for social applications that support profile pictures.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
引用它的顶会 Paper1
问问它们各自怎么用它相关 Paper
- "Person, Shoes, Tree. Is the Person Naked?" What People with Vision Impairments Want in Image DescriptionsAbigale Stangl, Meredith Ringel Morris, Danna GurariCHI 2020 · 被引用 136 次
- From Provenance to Aberrations: Image Creator and Screen Reader User Perspectives on Alt Text for AI-Generated ImagesMaitraye Das, Alexander J. Fiannaca, Meredith Ringel Morris, Shaun K. Kane 等CHI 2024 · 被引用 32 次
- "It's Complicated": Negotiating Accessibility and (Mis)Representation in Image Descriptions of Race, Gender, and DisabilityCynthia L. Bennett, Cole Gleason, Morgan Klaus Scheuerman, Jeffrey P. Bigham 等CHI 2021 · 被引用 125 次
- Communicating Visualizations without Visuals: Investigation of Visualization Alternative Text for People with Visual ImpairmentsCrescentia Jung, Shubham Mehta, Atharva Kulkarni, Yuhang Zhao 等IEEE VIS 2021 · 被引用 2 次
- Examining Visual Semantic Understanding in Blind and Low-Vision Technology UsersVenkatesh Potluri, Tadashi E. Grindeland, Jon E. Froehlich, Jennifer MankoffCHI 2021 · 被引用 42 次
