Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
138 results found tagged machine learning.
-
Data Representativeness in Accessibility Datasets: A Meta-Analysis
This paper conducts a systematic meta-analysis of demographic representativeness in 190 accessibility datasets — datasets sourced from people with disabilities and older adults — spanning from 1984 to 2021. The authors examine how age, gender, and ra…
-
A Dataset of Alt Texts from HCI Publications: Analyses and Uses Towards Producing More Descriptive Alt Texts of Data Visualizations in Scientific Papers
This paper examines the quality and availability of alt text for data visualizations in scientific publications, focusing on papers from the HCI and accessibility communities (CHI and ASSETS conferences, 2010-2020). The authors processed over 25,000 …
-
Blind Users Accessing Their Training Images in Teachable Object Recognizers
This paper introduces MYCam, an open-source iOS testbed application designed to help blind users build and improve personalized object recognizers. While teachable object recognizers allow users to train custom models by taking photos of objects they…
-
Evaluating Haptic Technology in Accessibility of Digital Audio Workstations for Visual Impaired Creatives
This doctoral consortium paper proposes a two-stage research programme to make Digital Audio Workstations (DAWs) more accessible for musicians with visual impairments through haptic feedback. The author argues that modern music production has become …
-
The story behind Dytective: how we brought research results on dyslexia and accessibility to Spanish public schools
This invited talk paper presents the decade-long research and entrepreneurial journey behind Dytective, a platform that combines machine learning and gamified exercises to detect risk of dyslexia and provide personalized interventions. Dyslexia affec…
-
On the Identification of Accessibility Bug Reports in Open Source Systems
This paper addresses a significant gap in software engineering research: the automated identification of accessibility-related bug reports in open-source projects. While bug tracking systems like Bugzilla and Monorail accumulate vast numbers of repor…
-
Machine Learning for Accessible Web Navigation
This extended abstract explores how machine learning techniques, particularly reinforcement learning, can be adapted to improve web navigation accessibility in alignment with WCAG Guideline 2.4 (Navigable). The author observes that ML techniques have…
-
WearSkill: Personalized and Interchangeable Input with Wearables for Users with Motor Impairments
This paper introduces WearSkill, a web-based application designed to provide personalized and interchangeable input for wearable computing, with a specific focus on users with motor impairments. The system addresses a fundamental challenge in wearabl…
-
"Not There Yet": Feasibility and Challenges of Mobile Sound Recognition to Support Deaf and Hard-of-Hearing People
This paper presents the first longitudinal field study of a mobile sound recognition system used by Deaf and hard of hearing (DHH) people in their daily lives. The researchers deployed SoundWatch, a smartwatch-based app that uses a deep learning mode…
-
Reimagining Machine Learning's Role in Assistive Technology by Co-Designing Exergames with Children Using a Participatory Machine Learning Design Probe
This paper fundamentally reframes the role of machine learning in assistive technology, arguing that ML models do not need to be accurate to be valuable — they can serve as sources of play and motivation rather than diagnostic tools. The researchers …