Literature Reviews

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

• Exploring Collaboration to Center the Deaf Community in Sign Language AI

  Rie Kamikubo, Abraham Glasser, Alex X Lu, Hal Daumé III, Hernisa Kacorri, Danielle Bragg (2025) — ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper investigates the critical disconnect between machine learning (ML) practitioners and Deaf American Sign Language (ASL) signers in the development of sign language AI technologies. Despite sign language processing's promise for societal inc…

  • Deaf community
  • sign language
  • American Sign Language
  • machine learning
  • participatory AI
  • co-design
  • interdisciplinary collaboration
  • AI ethics
  • community-centered design
  • sign language recognition

• Improving the Efficacy of Automated Sign Language Practice Tools

  Helene Brashear (2007) — SIGACCESS Accessibility and Computing

  This paper describes dissertation research on improving automatic sign language recognition for CopyCat, an interactive computer game that helps young deaf children practice American Sign Language (ASL). The work addresses a critical need: 90% of dea…

  • sign language
  • sign language detection
  • gesture-based interaction
  • computer vision
  • machine learning
  • deaf and hard of hearing
  • game accessibility
  • ASL education technology

• Drop-Down Menu Widget Identification Using HTML Structure Changes Classification

  Humberto Lidio Antonelli, Rodrigo Augusto Igawa, Renata Pontin De Mattos Fortes, Eduardo Henrique Rizo, Willian Massami Watanabe (2018) — ACM Transactions on Accessible Computing (TACCESS)

  This paper addresses a critical gap in web accessibility: the widespread failure of interactive widgets in rich internet applications (RIAs) to implement WAI-ARIA markup, rendering them inaccessible to screen reader users and other assistive technolo…

  • ARIA
  • web accessibility
  • machine learning
  • widgets
  • automated testing
  • rich internet applications
  • DOM

• Fairness of AI for People with Disabilities: Problem Analysis and Interdisciplinary Collaboration

  Jason J. G. White (2020) — SIGACCESS Accessibility and Computing

  This paper provides a philosophical analysis of the fairness challenges that machine learning-based AI poses for people with disabilities, arguing that these challenges demand unprecedented interdisciplinary collaboration across applied ethics, human…

  • AI fairness
  • algorithmic bias
  • disability
  • social justice
  • ethics
  • machine learning
  • policy
  • underrepresentation

• 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 le…

  • blind users
  • object recognition
  • AI errors
  • computer vision
  • camera-based assistive technology
  • error handling
  • trust
  • machine learning

• Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study

  Bhanuka Gamage, Leona Holloway, Nicola McDowell, Thanh-Toan Do, Nicholas Price, Arthur Lowery, Kim Marriott (2024) — ASSETS '24: Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper reveals a significant research gap in assistive technology for people with cerebral visual impairment (CVI) through a scoping review and focus studies. CVI is caused by damage to the brain's visual processing centres rather than the eyes t…

  • cerebral visual impairment
  • CVI
  • vision-based assistive technology
  • computer vision
  • augmented reality
  • image enhancement
  • machine learning
  • scoping review
  • visual processing

• WheelPoser: Sparse-IMU Based Body Pose Estimation for Wheelchair Users

  Yunzhi Li, Vimal Mollyn, Kuang Yuan, Patrick Carrington (2024) — ASSETS '24: Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper presents WheelPoser, a real-time body pose estimation system designed specifically for wheelchair users using only four inertial measurement units (IMUs). Existing pose estimation methods are largely developed for standing and ambulatory u…

  • wheelchair users
  • pose estimation
  • inertial measurement units
  • motion capture
  • body tracking
  • health monitoring
  • assistive technology
  • machine learning

• Self-supervised learning using unlabeled speech with multiple types of speech disorder for disordered speech recognition

  Ryoichi Takashima, Takeru Otani, Ryo Aihara, Tetsuya Takiguchi, Shinya Taguchi (2024) — Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2024)

  This paper tackles a critical barrier in accessible speech technology: automatic speech recognition (ASR) systems perform poorly for people with speech disorders because they are trained almost exclusively on typical speech. The authors from Kobe Uni…

  • speech recognition
  • speech disorders
  • machine learning
  • self-supervised learning
  • assistive technology
  • cerebral palsy
  • dysarthria