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• 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

• Beyond Accessibility: Understanding the Ease of Use and Impacts of Digital Collaboration Tools for Blind and Low Vision Workers

  Taslima Akter, Aparajita S Marathe, Darren Gergle, Anne Marie Piper · 2025 · ASSETS '25: Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper presents results from a large-scale online survey of 155 blind and low vision (BLV) screen reader users, evaluating the ease of use of 30 widely used digital collaboration tools across five categories: videoconferencing, asynchronous messaging, collaborative writing,…

  blind and low vision · workplace accessibility · collaboration tools · screen readers · employment

• Crippin' WhatsApp's Interaction Design: Learnings from the blind/visually impaired users of India

  Hrittika Bhowmick, Atharva Shrivastava, Sandeep Ysp, Shilpaa Anand, Dipanjan Chakraborty · 2025 · Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2025)

  This paper examines how blind and visually impaired users in India navigate WhatsApp, using critical disability studies and Roland Barthes' concept of myth to argue that WhatsApp's design naturalizes visual interaction as universal while marginalizing auditory, haptic, and…

  screen readers · blind users · social media accessibility · Global South accessibility · critical disability studies

• GestureVoice: Enabling Multimodal Text Editing for Blind Users Using Gestures and Voice

  Prerna Khanna, Sai Pravallika Reddy, IV Ramakrishnan, Xiaojun Bi, Aruna Balasubramanian · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper introduces GestureVoice, a multimodal text editing system that enables blind smartphone users to edit text using mid-air hand gestures detected by a smartwatch combined with voice commands, eliminating the need for touchscreen interaction. The research addresses a…

  text editing · blind users · multimodal interaction · gesture recognition · voice commands

• Surfacing Variations to Calibrate Perceived Reliability of MLLM-generated Image Descriptions

  Meng Chen, Akhil Iyer, Amy Pavel · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper addresses a critical safety problem in AI-powered visual access technology: multimodal large language models (MLLMs) like GPT-4o, Gemini, and Claude produce fluent, confident image descriptions that can contain fabricated content, misinterpretations, and omissions…

  blindness · low vision · image descriptions · multimodal AI · large language models

• Designing Accessible Calendar Tools for Blind and Low-Vision Users

  Mahmut Erdemli · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This extended abstract investigates the accessibility challenges blind and low vision (BLV) users face with calendar applications and explores how voice-activated personal assistants (VAPAs) like Siri and Alexa can enhance calendar usability. The study employed a mixed-methods…

  blindness · low vision · calendar accessibility · voice assistants · co-design

• Making Lecture Videos Accessible for Students who are Blind or have Low Vision through AI-Assisted Navigation and Visual Question Answering

  Katharina Anderer, Karin Müller, Lukas Strobel, Matthias Wölfel, Jan Niehues, Kathrin Gerling · 2025 · Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2025)

  This paper presents the design and evaluation of LectureAssistant, an AI-powered prototype that makes lecture videos more accessible for students who are blind or have low vision. The research follows a three-part human-centred design process. First, need-finding interviews with…

  blind and low vision · lecture accessibility · higher education · large language models · vision-language models

• Benthic: Perceptually Congruent Structures for Accessible Charts and Diagrams

  Catherine Mei, Josh Pollock, Daniel Hajas, Jonathan Zong, Arvind Satyanarayan · 2025 · Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2025)

  This paper introduces Benthic, a system that creates perceptually congruent screen reader structures for graphical representations such as charts and diagrams. The core insight is that graphical representations communicate meaning through visual structure—Gestalt grouping…

  data visualization accessibility · screen readers · blind and low vision · chart accessibility · diagram accessibility

• QuickQue: Enabling Quick Access to Information in User Reviews for Screen Reader Users

  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 2025)

  This paper presents QuickCue, a Google Chrome browser extension that helps blind screen reader users efficiently access online customer reviews by using LLM-powered aspect and sentiment classification to organize and summarize review content. The current experience of reading…

  screen readers · blind users · online reviews · large language models · browser extension

• 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

• Accessible workplace, inaccessible workflows: mandatory documents, challenges and workarounds in accessible onboarding

  Scott Hollier, Justin Brown, Ruchi Permvattana · 2025 · Proceedings of the 22nd International Web for All Conference (W4A)

  This short paper presents a lived-experience case study from the Centre For Accessibility Australia (CFAA), a not-for-profit accessibility auditing organization where 9 of 12 staff have lived experience of disability, including the legally blind director who uses screen readers.…

  PDF accessibility · workplace accessibility · government forms · screen readers · document accessibility

• Increasing Agency of Screen-Reader Users in Consuming Information From Online Data Visualizations

  Ather Sharif, Andrew Zhang, Jacob Wobbrock · 2025 · Proceedings of the 22nd International Web for All Conference (W4A)

  This paper addresses a fundamental equity problem in data visualization accessibility: screen-reader users are limited to consuming only the information that visualization creators choose to provide, with no agency to customize what they hear. Prior research shows screen-reader…

  data visualization accessibility · screen readers · user agency · sonification · alt text

• 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

• The Qualities of Convivial Tools and Their Relevance to Music Software Accessibility

  Alex Lucas, James Cunningham, Jacob Harrison, Franziska Schroeder, Andrew McPherson · 2025 · ACM Transactions on Accessible Computing

  This qualitative study explores how visually impaired and blind (VIB) people access digital audio workstations (DAWs) for creative sound work, drawing on Ivan Illich's concept of "convivial tools" to frame accessibility recommendations. The authors conducted 2-hour remote…

  visual impairment · blindness · digital audio workstations · music accessibility · communities of practice

• 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

• FormA11y — Research and Development of a Tool for Remediating PDF Forms for Accessibility

  Sparsh Paliwal, Joshua Hoeflich, J. Bern Jordan, Rajiv Jain, Vlad I. Morariu, Alexa Siu, Jonathan Lazar · 2025 · ACM Transactions on Computer-Human Interaction, Vol. 32, No. 1

  Paliwal and colleagues — a team spanning the University of Maryland's Maryland Initiative for Digital Accessibility (MIDA), Northwestern, and Adobe Research — tackle a problem that has been largely overlooked in PDF accessibility research: the remediation of interactive *PDF…

  PDF accessibility · PDF forms · PDF/UA · document accessibility · remediation tools

17 results.