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Older adults interaction with broadcast debates

Published:20 October 2014Publication History

ABSTRACT

The constant emergence and change of current technologies in the form of digital products and services can cause certain groups of the population to feel excluded. Older adults represent one such group. Our research combines computational models of argument and human-centric computing to impact the way in which older adults interact with broadcast debates. We present a preliminary user study where older adults interact with a debate and propose an application which uses speech recognition to classify spoken utterances and related them to segmented debates. Moreover, we discuss preliminary results on older adults interacting with the application in pilot experiments.

References

  1. J. Lawrence, F. Bex, C. Reed, and M. Snaith. AIFdb: Infrastructure for the Argument Web. In COMMA, pages 515--516, 2012.Google ScholarGoogle Scholar
  2. R. Medellin-Gasque, C. Reed, and V. L. Hanson. Guidelines to support older adults interaction with broadcast debates. AI and Society. Under Review.Google ScholarGoogle Scholar
  3. Ofcom. Adults media literacy in the nations: Summary report. (July), 2011.Google ScholarGoogle Scholar
  4. A. Smith. Older adults and technology use. Technical report, Pew Research Center, April 2014.Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Conferences
        ASSETS '14: Proceedings of the 16th international ACM SIGACCESS conference on Computers & accessibility
        October 2014
        378 pages
        ISBN:9781450327206
        DOI:10.1145/2661334

        Copyright © 2014 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 20 October 2014

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        Acceptance Rates

        ASSETS '14 Paper Acceptance Rate29of106submissions,27%Overall Acceptance Rate436of1,556submissions,28%

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