Wells, W., Beeston, A., Bradley, E. et al. (3 more authors) (2019) Talking in Time: the development of a self-administered Conversation Analysis based training programme for cochlear implant users. Cochlear Implants International, 20 (5). pp. 255-265. ISSN 1467-0100
Abstract
Objectives: Training software to facilitate participation in conversations where overlapping talk is common was to be developed with the involvement of Cochlear implant (CI) users.
Methods: Examples of common types of overlap were extracted from a recorded corpus of 3.5 hours of British English conversation. In eight meetings, an expert panel of five CI users tried out ideas for a computer-based training programme addressing difficulties in turn-taking.
Results: Based on feedback from the panel, a training programme was devised. The first module consists of introductory videos. The three remaining modules, implemented in interactive software, focus on non-overlapped turn-taking, competitive overlaps and accidental overlaps.
Discussion: The development process is considered in light of feedback from panel members and from an end of project dissemination event. Benefits, limitations and challenges of the present approach to user involvement and to the design of self-administered communication training programmes are discussed.
Conclusion: The project was characterized by two innovative features: the involvement of service users not only at its outset and conclusion but throughout its course; and the exclusive use of naturally occurring conversational speech in the training programme. While both present practical challenges, the project has demonstrated the potential for ecologically valid speech rehabilitation training.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | conversation analysis; overlapping talk; cochlear implant users; rehabilitatation software; self-administered training; user invovement |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number Arts and Humanities Research Council (AHRC) AH/L009307/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Jun 2019 09:17 |
Last Modified: | 25 Jul 2019 13:20 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/14670100.2019.1625185 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:146532 |