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The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People with Visual Impairments

Published:06 December 2017Publication History
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Abstract

Like sighted people, visually impaired people want to share photographs on social networking services, but find it difficult to identify and select photos from their albums. We aimed to address this problem by incorporating state-of-the-art computer-generated descriptions into Facebook's photo-sharing feature. We interviewed 12 visually impaired participants to understand their photo-sharing experiences and designed a photo description feature for the Facebook mobile application. We evaluated this feature with six participants in a seven-day diary study. We found that participants used the descriptions to recall and organize their photos, but they hesitated to upload photos without a sighted person's input. In addition to basic information about photo content, participants wanted to know more details about salient objects and people, and whether the photos reflected their personal aesthetic. We discuss these findings from the lens of self-disclosure and self-presentation theories and propose new computer vision research directions that will better support visual content sharing by visually impaired people.

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        cover image Proceedings of the ACM on Human-Computer Interaction
        Proceedings of the ACM on Human-Computer Interaction  Volume 1, Issue CSCW
        November 2017
        2095 pages
        EISSN:2573-0142
        DOI:10.1145/3171581
        Issue’s Table of Contents

        Copyright © 2017 ACM

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        Publication History

        • Published: 6 December 2017
        Published in pacmhci Volume 1, Issue CSCW

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