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dc.contributor.author Graham, Rebecca en
dc.contributor.author Choo, Jinhee en
dc.date.accessioned 2022-06-20T21:01:32Z
dc.date.available 2022-06-20T21:01:32Z
dc.date.issued 2022 en
dc.identifier.citation Journal on Technology and Persons with Disabilities 10: 33-53. en
dc.identifier.issn 2330-4219 en
dc.identifier.uri http://hdl.handle.net/10211.3/223464
dc.description 37th Annual Assistive Technology Conference Scientific/Research Proceedings, online 2022 en
dc.description.abstract As a result of the global Coronavirus pandemic, there has been a rapid increase in online courses and digital educational materials, specifically video content. It is a legal requirement in the United States that these educational materials be accessible to those with disabilities. In the case of educational videos, this requires that clean and accurate captions are provided, as well as text or audio descriptions of all visual images within the video, in a format that is accessible to learners. Many educators lack an understanding of the details of the legal requirements and the skills, financial resources, staff, and technical support needed to fulfill them. As a result, many rely on Artificial Intelligence (AI)-generated captions and descriptions for their educational videos, if they provide them at all. Here, we report the results of a preliminary analysis of the accuracy rates of several popular platforms used to create AI-generated captions. Based on our results, these AI-generated captions have, on average, an accuracy rate of 89.8%, which does not meet the current legal requirements and industry standards for digital accessibility. We show the importance of manually copyediting captions and share insights from our data analysis which will assist educators to make their video content more accessible. en
dc.format application/pdf en
dc.format.extent 20 pages en
dc.language.iso en en
dc.publisher California State University, Northridge. en
dc.rights Copyright 2022 by the authors and California State University, Northridge en
dc.subject Captions en
dc.subject Accessibility en
dc.subject Accuracy en
dc.subject Artificial Intelligence en
dc.title Preliminary Research on AI-Generated Caption Accuracy Rate by Platforms and Variables en
dc.type Article en
dc.rights.license Creative Commons Attribution-NoDerivs 4.0 Unported License. en


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