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• 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

• Trying to Piece It Together: Exploring Accessible Error Detection in Emerging Privacy Techniques With Blind People

  Rahaf Alharbi, Angela D Cheong, Jaylin Herskovitz, Robin N. Brewer, Sarita Schoenebeck · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper investigates how blind people might detect errors in AI-enabled privacy techniques (obfuscation) used within visual assistance technologies (VAT). Blind people routinely use VAT apps like Seeing AI, Be My Eyes, Aira, and TapTapSee to access visual information, but…

  visual assistance technologies · privacy · obfuscation · AI error detection · assessment descriptors

• 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

• 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

• 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

8 results.