← 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.

Search results

  • From Cluttered to Clear: Improving the Web Accessibility Design for Screen Reader Users in E-commerce With Generative AI

    Yaman Yu, Bektur Ryskeldiev, Ayaka Tsutsui, Matthew Gillingham, Yang Wang · 2025 · ASSETS '25: Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility

    This paper explores how Generative AI (GenAI) can be used to automatically restructure the HTML of shopping websites to improve accessibility for screen reader users. Blind and low vision users face persistent barriers on e-commerce sites — complex layouts, inconsistent heading…

    screen readers · web accessibility · generative AI · e-commerce · blind and low vision

  • AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code

    Nadeen Fathallah, Daniel Hernández, Steffen Staab · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

    This paper introduces AccessGuru, a novel method that combines traditional automated accessibility testing tools with large language models (LLMs) to both detect and correct web accessibility violations in HTML code. The work addresses a persistent gap in accessibility tooling:…

    automated testing · web accessibility · large language models · HTML remediation · prompt engineering

  • Task Mode: Dynamic Filtering for Task-Specific Web Navigation using LLMs

    Ananya Gubbi Mohanbabu, Yotam Sechayk, Amy Pavel · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

    This paper presents Task Mode, a Chrome browser extension that dynamically filters web content based on user-specified goals using large language models (specifically GPT-4o) to identify and prioritize task-relevant elements while suppressing distractions. The system addresses a…

    web navigation · screen reader · large language model · content filtering · task-based browsing

  • A Review of 25 Years of Human-Computer Interaction Research on Reading Support Technologies for People with Disabilities Published in the ACM Digital Library

    Oliver Alonzo, Saad Hassan · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

    This systematic literature review analyzes 101 HCI publications from ACM venues spanning 2000 to 2024 that focus on reading support technologies for people with disabilities. The authors developed a comprehensive coding rubric covering publication metadata, contribution types,…

    systematic literature review · reading support · reading disability · dyslexia · blind or low vision

  • Adapting Online Customer Reviews for Blind Users: A Case Study of Restaurant Reviews

    Mohan Sunkara, Akshay Kolgar Nayak, Sandeep Kalari, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok · 2025 · Proceedings of the 22nd International Web for All Conference (W4A)

    This paper addresses the significant usability challenges blind screen reader users face when navigating online customer reviews, using restaurant reviews on Google Maps as a case study. The research proceeds in two phases. First, an interview study with 30 blind screen reader…

    screen readers · blind users · online reviews · LLM accessibility · content summarization

  • AccessMenu: Enhancing Usability of Online Restaurant Menus for Screen Reader Users

    Nithiya Venkatraman, Akshay Kolgar Nayak, Suyog Dahal, Yash Prakash, Hae-Na Lee, Vikas Ashok · 2025 · Proceedings of the 22nd International Web for All Conference (W4A)

    This paper addresses the significant accessibility barriers that blind and visually impaired (BVI) screen reader users face when trying to access online restaurant menus, which are typically presented as images or PDFs. The research proceeds in two phases. First, an interview…

    screen readers · blind users · visual document understanding · LLM accessibility · multimodal AI

  • Data Sonification for Screen-Reader Users: When and When Not to Use

    Ather Sharif, Neha Aitharaju, Srihari Krishnaswamy, Jacob Wobbrock · 2025 · Proceedings of the 22nd International Web for All Conference (W4A)

    This paper from the University of Washington assesses when data sonification — non-speech audio representations of data visualizations — is and is not beneficial for screen-reader users. Despite sonification dating back to 1974 and growing adoption in commercial products (Apple…

    sonification · data visualization · screen readers · blindness · visual impairment

  • Accessible Web Design for Older Adults: Challenges and Solutions

    Washington Chiriboga-Casanova, Nuria Medina-Medina, Patricia Paderewski-Rodríguez · 2025 · ACM Transactions on Accessible Computing

    This systematic literature review analyzes 4,052 articles published between 2014 and 2023 to comprehensively map the challenges older adults face online and the solutions proposed to address them. Using the PRISMA methodology and PICO framework, the authors selected 35 studies…

    systematic review · older adults · web accessibility · aging · design guidelines

  • Morae: Proactively Pausing UI Agents for User Choices

    Yi-Hao Peng, Dingzeyu Li, Jeffrey P. Bigham, Amy Pavel · 2025 · Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology (UIST '25)

    This paper introduces Morae, a UI agent that proactively pauses during automated task execution to involve blind and low-vision (BLV) users in critical decisions, rather than completing tasks end-to-end without user input. The work is motivated by a field study with four BLV…

    UI agents · blind and low vision · large language models · human-agent interaction · user agency

  • CodeA11y: Making AI Coding Assistants Useful for Accessible Web Development

    Peya Mowar, Yi-Hao Peng, Jason Wu, Aaron Steinfeld, Jeffrey P. Bigham · 2025 · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25)

    This paper addresses a persistent problem: despite decades of accessibility standards and tools, ~96% of web pages contain accessibility violations. The authors argue that AI coding assistants like GitHub Copilot represent an untapped opportunity because developers already use…

    web accessibility · AI coding assistants · developer tools · WCAG · automated testing

10 results.