234
Views
17
CrossRef citations to date
0
Altmetric
Original

Brevity and speed of message delivery trade-offs in augmentative and alternative communication

, , &
Pages 76-88 | Published online: 12 Jul 2009
 

Abstract

This study is the third in a series of studies that have concentrated on utterance-based systems—which allow the relatively quick selection of full sentences—and investigated trade-offs faced by users of such systems when there is a pragmatic mismatch between the prestored sentence and the current discourse context. While the previous studies focused on trade-offs between speed of message delivery and either relevance or informativeness, this study investigated the effects of trade-offs between speed of message delivery and brevity on public attitudes. Participating were 96 sales clerks who viewed scripted, videotaped trade-off message conditions in the context of a bookstore interaction and completed a questionnaire designed to assess their attitudes toward customers who used utterance-based systems and his or her communication. Significantly higher mean ratings were found for the trade-off condition involving the quickly delivered message with repetition when compared to each of the slowly delivered, non-repetitive message conditions (i.e., with and without a preceding conversational floorholder). Implications regarding the model of conversational trade-off choices and its technological applications are discussed.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 294.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.