← Writing · Glossary →

Reviews

The literature-review database. Every paper Bob has reviewed (he has read many more), with a short summary, key findings, and tags. Browse, filter, search.

Filter

Tag

Search results

  • Misfitting With AI: How Blind People Verify and Contest AI Errors

    Rahaf Alharbi, Pa Lor, Jaylin Herskovitz, Sarita Schoenebeck, Robin N. Brewer · 2024 · ASSETS '24: Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility

    This paper presents an in-depth qualitative study with 26 blind participants examining how they encounter, verify, and contest errors produced by AI-enabled visual assistance technologies (AI VAT) such as Seeing AI, Be My Eyes, and ChatGPT. While blind people increasingly rely…

    blind users · artificial intelligence · visual assistance technology · explainable AI · AI errors

  • Information Wayfinding of Screen Reader Users: Five Personas to Expand Conceptualizations of User Experiences

    J. Bern Jordan, Victoria Van Hyning, Mason A. Jones, Rachael Bradley Montgomery, Elizabeth Bottner, Evan Tansil · 2024 · ASSETS '24: Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility

    This paper presents five user personas representing the diverse range of screen reader experiences, developed from observations across several studies with blind screen reader users. The authors challenge the common assumption in research and development that screen reader users…

    screen readers · blind users · personas · user experience · information wayfinding

  • Understanding How Blind Users Handle Object Recognition Errors: Strategies and Challenges

    Jonggi Hong, Hernisa Kacorri · 2024 · ASSETS '24: Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility

    This paper investigates how blind and low-vision users interact with object recognition systems, specifically focusing on how they identify and handle recognition errors. While object recognition technologies powered by computer vision and machine learning have enormous…

    blind users · object recognition · AI errors · computer vision · camera-based assistive technology

  • The Promise and Pitfalls of Web Accessibility Overlays for Blind and Low Vision Users

    Tlamelo Makati, Garreth W. Tigwell, Kristen Shinohara · 2024 · Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2024)

    This study provides the first substantial empirical evidence from blind and low-vision users about their experiences with web accessibility overlays—third-party JavaScript tools that claim to enhance website usability for people with disabilities by adding an additional…

    web accessibility · accessibility overlays · screen readers · blind users · low vision

  • ImageExplorer Deployment: Understanding Text-Based and Touch-Based Image Exploration in the Wild

    Ruolin Xu, Yuxuan Cai, Shuying Hou, Yu-Jung Chang, Anhong Guo · 2024 · Proceedings of the 21st International Web for All Conference (W4A)

    This paper presents the real-world deployment and evaluation of ImageExplorer, an iOS application that enables blind and low-vision users to explore images through two complementary modalities: text-based sequential exploration and touch-based spatial exploration. The app was…

    image accessibility · screen readers · touch exploration · blind users · image description

5 results.