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A Framework for Information Accessibility in Large Video Repositories

Abstract : Online videos are a medium of choice for young adults to access or receive information, and recent work has highlighted that it is a particularly effective medium for adults with intellectual disability, by its visual nature. Reflecting on a case study presenting fieldwork observations of how adults with intellectual disability engage with videos on the Youtube platform, we propose a framework to define and evaluate the accessibility of such large video repositories, from an informational perspective. The proposed framework nuances the concept of information accessibility from that of the accessibility of information access interfaces themselves (generally catered for under web accessibility guidelines), or that of the documents (generally covered in general accessibility guidelines). It also includes a notion of search (or browsing) accessibility, which reflects the ability to reach the document containing the information. In the context of large information repositories, this concept goes beyond how the documents are organized into how automated processes (browsing or searching) can support users. In addition to the framework we also detail specifics of document accessibility for videos. The framework suggests a multi-dimensional approach to information accessibility evaluation which includes both cognitive and sensory aspects. This framework can serve as a basis for practitioners when designing video information repositories accessible to people with intellectual disability, and extends on the information presentation guidelines such as suggested by the WCAG. Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.
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Submitted on : Friday, February 7, 2020 - 3:24:04 PM
Last modification on : Tuesday, February 11, 2020 - 1:42:44 AM
Long-term archiving on: : Friday, May 8, 2020 - 4:17:24 PM

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Stewart Koplick, Laurianne Sitbon, Benoit Favre, Jinglan Zhang, Andrew Bayor, et al.. A Framework for Information Accessibility in Large Video Repositories. ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR), Mar 2020, Vancouver, Canada. ⟨10.1145/3343413.3378003⟩. ⟨hal-02470812⟩

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