Using Machine Learning for Web Accessibility

Authors

Tlamelo Makati, Technological University DublinFollow

Files

Publisher

Technological University Dublin

Description

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.

Publication Date

2023

Keywords

Web Accessibility, Digital Accessibility, Machine Learning, Human-Centred Design, Web auditing

Disciplines

Computer Sciences

Supervisors

Dr John Gilligan, Dr Emma Murphy

Conference

First Annual Teaching and Research Showcase 2023

DOI

https://doi.org/10.21427/PHXB-P991

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.

Recommended Citation

Makati, T. (2023). Using Machine Learning for Web Accessibility. Technological University Dublin. https://doi.org/10.21427/PHXB-P991