Video conferencing tools: comparative study of the experiences of screen reader users and the development of more inclusive design guidelines

Leporini, B., Buzzi, M. and Hersh, M. (2023) Video conferencing tools: comparative study of the experiences of screen reader users and the development of more inclusive design guidelines. ACM Transactions on Accessible Computing, 16(1), 7. (doi: 10.1145/3573012)

Abstract

Since the first lockdown in 2020, video conferencing tools have become increasingly important for employment, education, and social interaction, making them essential tools in everyday life. This study investigates the accessibility and usability of the desktop and mobile versions of three popular video conferencing tools, Zoom, Google Meet and MS Teams, for visually impaired people interacting via screen readers and keyboard or gestures. This involved two inspection evaluations to test the most important features of the desktop and mobile device versions and two surveys of visually impaired users to obtain information about the accessibility of the selected video conferencing tools. 65 and 94 people answered the surveys for desktop and mobile platforms respectively. The results showed that Zoom was preferred to Google Meet and MS Teams, but that none of the tools was fully accessible via screen reader and keyboard or gestures. Finally, the results of this empirical study were used to develop a set of guidelines for designers of video conferencing tools and assistive technology.

• Item Type: Articles
• Keywords: Survey, guidelines, accessibility, screen reader users, blind people, evaluation methodology, videoconferencing tools, screen reader.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Hersh, Dr Marion
• Authors: Leporini, B., Buzzi, M., and Hersh, M.
• College/School: College of Science and Engineering > School of Engineering > Biomedical Engineering
• Journal Name: ACM Transactions on Accessible Computing
• Publisher: Association for Computing Machinery
• ISSN: 1936-7228
• ISSN (Online): 1936-7236
• Published Online: 30 November 2022
• Copyright Holders: Copyright © 2022 Association for Computing Machinery
• First Published: First published in ACM Transactions on Accessible Computing 16(1): 7
• Publisher Policy: Reproduced in accordance with the publisher copyright policy