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abstract

Analyzing visual questions from visually impaired users

Published: 24 October 2011 Publication History
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  • Abstract

    Many new technologies have been developed to assist people who are visually impaired in learning about their environment, but there is little understanding of their motivations for using these tools. Our tool VizWiz allows users to take a picture using their mobile phone, ask a question about the picture's contents, and receive an answer in nearly realtime. This study investigates patterns in the questions that visually impaired users ask about their surroundings, and presents the benefits and limitations of responses from both human and computerized sources.

    References

    [1]
    Amazon's Mechanical Turk. http://mturk.com.
    [2]
    Color ID Free. http://www.greengar.com.
    [3]
    Google Goggles. http://www.google.com/mobile/goggles.
    [4]
    IQ Engines. http://iqengines.com.
    [5]
    oMoby. http://omoby.com.
    [6]
    Bigham, J. P., Jayant, C., et al. VizWiz: Nearly Real-time Answers to Visual Questions. UIST '10, ACM Press (2010).
    [7]
    J. Sudol, O. D., C. Blanchard, T. Dorcey. LookTel -- A Comprehensive Platform for Computer-Aided Visual Assistance. CVAVI 2010.

    Cited By

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    • (2020)Quality of images showing medication packaging from individuals with vision impairments: Implications for the design of visual question answering applicationsProceedings of the Association for Information Science and Technology10.1002/pra2.25157:1Online publication date: 22-Oct-2020

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    Published In

    cover image ACM Conferences
    ASSETS '11: The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility
    October 2011
    348 pages
    ISBN:9781450309202
    DOI:10.1145/2049536

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 October 2011

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    Author Tags

    1. blind users
    2. crowdsourcing
    3. non-visual interfaces
    4. q&a

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    ASSETS '11
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    Overall Acceptance Rate 436 of 1,556 submissions, 28%

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    Cited By

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    • (2020)Quality of images showing medication packaging from individuals with vision impairments: Implications for the design of visual question answering applicationsProceedings of the Association for Information Science and Technology10.1002/pra2.25157:1Online publication date: 22-Oct-2020

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