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Older adults interaction with broadcast debates

Published: 20 October 2014 Publication 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.
[2]
R. Medellin-Gasque, C. Reed, and V. L. Hanson. Guidelines to support older adults interaction with broadcast debates. AI and Society. Under Review.
[3]
Ofcom. Adults media literacy in the nations: Summary report. (July), 2011.
[4]
A. Smith. Older adults and technology use. Technical report, Pew Research Center, April 2014.

Cited By

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  • (2019)Deb8: A Tool for Collaborative Analysis of VideoProceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video10.1145/3317697.3323358(47-58)Online publication date: 4-Jun-2019

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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
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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Author Tags

  1. argument representation
  2. argument web
  3. broadcast debates
  4. speech recognition

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ASSETS '14
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ASSETS '14 Paper Acceptance Rate 29 of 106 submissions, 27%;
Overall Acceptance Rate 436 of 1,556 submissions, 28%

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Cited By

View all
  • (2019)Deb8: A Tool for Collaborative Analysis of VideoProceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video10.1145/3317697.3323358(47-58)Online publication date: 4-Jun-2019

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