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Technological University Dublin
This research will explore the potential of machine learning to enhance web accessibility. Web accessibility is typically defined in terms of Web Accessibility Guidelines (WCAG), which states that everyone should be able to perceive, operate, understand and interpret the web regardless of disability or use of assistive technology. We would like to consult digital accessibility experts through interviews and focus groups to understand the web accessibility auditing and remediation processes in detail, with a focus on web navigation. An important goal of this work is to establish development processes where all stakeholders can leverage machine-learning tools to produce more accessible websites.
Web Accessibility, Digital Accessibility, Machine Learning, Human-Centred Design, Web auditing
Dr John Gilligan, Dr Emma Murphy
First Annual Teaching and Research Showcase 2023
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Makati, T. (2023). Using Machine Learning for Web Accessibility. Technological University Dublin. https://doi.org/10.21427/PHXB-P991