Abstract
This paper discusses some of the accessibility challenges posed by current video conferencing technology with a specific focus on the Deaf community. There is a long way to go in making this technology fully accessible and inclusive for those with accessibility needs. The current state of the art is examined and areas of possible technological improvement discussed. Also discussed is the need to integrate into the technology cognitive aspects that force a correct and inclusive mental model by those participants without accessibility needs that are sometimes oblivious to or don’t know how to overcome their own challenges participating in a diverse group using this software. While we realize the needs and methods of participation by different communities will not be exactly the same, we hope to push development in a direction that is more inclusive and more equitable. We consider how these ideas apply to the educational community and beyond.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Benartzi, S.: Saving for tomorrow. In: 2011 TED Conference. https://www.ted.com/talks/shlomo_benartzi_saving_for_tomorrow_tomorrow
Lee, J.: Designing for all 5 senses. In: 2013 TED Conference. https://www.ted.com/talks/jinsop_lee_design_for_all_5_senses?language=en
American Foundation for the Blind. “Screen readers.” https://www.afb.org/blindness-and-low-vision/using-technology/assistive-technology-products/screen-readers. Accessed 12 Feb 2021
SFSU Best practices for accessibility and user experience when using Zoom for meetings and classes. https://athelp.sfsu.edu/hc/en-us/articles/360045071674-Best-practices-for-accessibility-and-user-experience-when-using-Zoom-for-meetings-and-classes
Yale: Usability & Web Accessibility. https://usability.yale.edu/web-accessibility/articles/zoom. Accessed 12 Feb 2021
Deque Systems, How is COVID-19 Impacting Digital Accessibility. https://www.deque.com/covid-19-digital-accessibility-report/. Accessed 12 Feb 2021
Otter AI Home Page. https://otter.ai. Accessed 12 Feb 2021
NVDA. https://addons.nvda-project.org/addons/zoomEnhancements.en.html. Accessed 12 Feb 2021
Class for Zoom Homepage. www.class.com. Accessed 12 Feb 2021
Rivers, E.: Women, minorities, and persons with disabilities in science and engineering. National Science Foundation (2017)
Zhang, X.-H., et al.: Improvement of dynamic hand gesture recognition based on HMM algorithm. In: 2016 International Conference on Information System and Artificial Intelligence (ISAI). IEEE (2016)
Willems, D., et al.: Iconic and multi-stroke gesture recognition. Pattern Recogn. 42(12), 3303–3312 (2009)
Li, Y.: Hand gesture recognition using Kinect. In: 2012 IEEE International Conference on Computer Science and Automation Engineering. IEEE (2012)
Liang, R.-H., Ming, O.: A real-time continuous gesture recognition system for sign language. In: Proceedings third IEEE International Conference on Automatic Face and Gesture Recognition. IEEE (1998)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Anderson, N. (2021). Accessibility Challenges of Video Conferencing Technology. In: Salvendy, G., Wei, J. (eds) Design, Operation and Evaluation of Mobile Communications. HCII 2021. Lecture Notes in Computer Science(), vol 12796. Springer, Cham. https://doi.org/10.1007/978-3-030-77025-9_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-77025-9_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-77024-2
Online ISBN: 978-3-030-77025-9
eBook Packages: Computer ScienceComputer Science (R0)