Literature Reviews

Reviewed research papers, articles, and publications relevant to digital accessibility.

• Improving the User Experience for Sign Language Interpreters in Remote Interpretation for Small Group Settings

  Roshan Mathew, Wendy Dannels (2025) — Proceedings of the 22nd International Web for All Conference (W4A 2025)

  This study investigates whether increasing a sign language interpreter's visual access to a deaf client's environment through wider field-of-view (FoV) webcams and customizable screen layouts can enhance the user experience of remote small group inte…

  • video remote interpreting
  • sign language interpreting
  • deaf and hard of hearing
  • videoconferencing
  • field of view
  • webcam technology
  • workplace 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 cur…

  • screen readers
  • blind users
  • online reviews
  • large language models
  • browser extension
  • information accessibility
  • sentiment analysis

• LLMs for Accessibility in Mobile Apps: Detection and Repair

  Wajdi Aljedaani, Ahmed Aljohani, Marcelo M. Eler, Abdulrahman Habib, Hyunsook Do (2025) — Proceedings of the 22nd International Web for All Conference (W4A 2025)

  This study evaluates the capacity of three large language models—GPT-4o, Gemini 1.0 Pro, and Llama 3—to detect, classify, and remediate accessibility violations in Android mobile applications. While prior LLM accessibility research has focused primar…

  • mobile accessibility
  • large language models
  • Android accessibility
  • automated accessibility testing
  • accessibility remediation
  • code generation

• Joint Bilingual Navigation of Informed Consent and Intake Forms in American Sign Language and Written English

  Matthew Seita, Michaela Usha, Rachel Skwersky, Poorna Kushalnagar, Raja Kushalnagar (2025) — Proceedings of the 22nd International Web for All Conference (W4A 2025)

  This paper presents a joint bilingual informed consent and intake form that can be navigated simultaneously in American Sign Language (ASL) and written English, addressing a critical accessibility barrier for the approximately 500,000 Americans who p…

  • deaf and hard of hearing
  • sign language recognition
  • informed consent
  • healthcare accessibility
  • American Sign Language
  • bilingual interfaces
  • machine learning

• Notification Designs for Influencing Hearing Speakers' Behaviors During Captioned Conversations Among Mixed DHH-Hearing Groups

  Matthew Seita, Sarah Andrew, Matt Huenerfauth (2025) — Proceedings of the 22nd International Web for All Conference (W4A 2025)

  This paper investigates notification system designs that prompt hearing speakers to adjust their speech behaviors (speaking slower, louder, or more clearly) during ASR-captioned videoconference conversations with Deaf and Hard of Hearing (DHH) partic…

  • deaf and hard of hearing
  • automatic speech recognition
  • captioning
  • notification design
  • videoconferencing
  • communication accessibility
  • Wizard-of-Oz

• When LLM-Generated Code Perpetuates User Interface Accessibility Barriers, How Can We Break the Cycle?

  Alexandra-Elena Gurita, Radu-Daniel Vatavu (2025) — Proceedings of the 22nd International Web for All Conference (W4A 2025)

  This paper evaluates the ability of large language models (LLMs) to generate accessible web user interfaces, comparing ChatGPT (GPT-4-turbo) and Claude (3.5 Haiku) across two prompting strategies: accessibility-agnostic prompts ("Design the homepage …

  • large language models
  • WCAG compliance
  • automated accessibility
  • prompt engineering
  • code generation
  • AI accessibility

• Gesture-A11Y: A Large-Scale Hub for Accessible Gesture Input

  Mihail Terenti, Laura-Bianca Bilius, Ovidiu-Ciprian Ungurean, Radu-Daniel Vatavu (2025) — Proceedings of the 22nd International Web for All Conference (W4A 2025)

  This paper introduces Gesture-A11Y, a large-scale, open-source, web-based hub that serves as a searchable database of gesture input data collected from users with visual or motor disabilities. The tool is the culmination of an eight-year research eff…

  • gesture input
  • motor disabilities
  • visual disabilities
  • open data
  • accessible interaction design
  • touchscreen gestures
  • wearable devices

• ChartA11y: Designing Accessible Touch Experiences of Visualizations with Blind Smartphone Users

  Zhuohao Zhang, John R. Thompson, Aditi Shah, Manish Agrawal, Alper Sarikaya, Jacob O. Wobbrock, Edward Cutrell, Bongshin Lee (2024) — Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2024)

  This paper presents ChartA11y, an iOS mobile application that makes 2-D data visualizations accessible to blind and low-vision (BLV) smartphone users through multimodal touch interactions. Developed through an iterative participatory design process i…

  • data visualization
  • blind and low vision
  • touchscreen accessibility
  • sonification
  • multimodal interaction
  • participatory design
  • smartphone accessibility

• Audio Description Customization

  Rosiana Natalie, Ruei-Che Chang, Smitha Sheshadri, Anhong Guo, Kotaro Hara (2024) — Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2024)

  This paper investigates how audio descriptions (AD) for video content can be customized to meet the diverse preferences of blind and low-vision (BLV) users. Traditional ADs are fixed narratives created by sighted describers, offering no ability for u…

  • audio description
  • blind and low vision
  • customization
  • video accessibility
  • assistive technology
  • large language models

• Brain Body Jockey project: Transcending Bodily Limitations in Live Performance via Human Augmentation

  Giulia Barbareschi, Songchen Zhou, Ando Ryoichi, Midori Kawaguchi, Mark Armstrong, Mikito Ogino, Shunsuke Aoiki, Eisaku Ohta, Harunobu Taguchi, Youichi Kamiyama, Masatane Muto, Kentaro Yoshifuji, Kouta Minamizawa (2024) — Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2024)

  This paper documents a groundbreaking collaboration between a professional VDJ (video disc jockey) with advanced Amyotrophic Lateral Sclerosis (ALS) and a team of researchers and technologists to create a human augmentation system enabling brain-cont…

  • brain-machine interface
  • ALS
  • human augmentation
  • disability arts
  • robotic arms
  • live performance
  • stage presence
  • assistive technology