Difference between revisions of "Nevile2006a"

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(Created page with "{{BibEntry |BibType=ARTICLE |Author(s)=Maurice Nevile; |Title=A conversation analysis model for examining aviation communication in context: Part I - processes for represen...")
 
 
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{{BibEntry
 
{{BibEntry
 
|BibType=ARTICLE
 
|BibType=ARTICLE
|Author(s)=Maurice Nevile;  
+
|Author(s)=Maurice Nevile;
|Title=A conversation analysis model for examining aviation communication in context: Part I -
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|Title=A conversation analysis model for examining aviation communication in context, Part I: Processes for representing data
processes for representing data
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|Tag(s)=EMCA; Conversation Analysis; Airline cockpit; Data;
|Tag(s)=EMCA; Conversation Analysis; Airline cockpit; Data;  
 
 
|Key=Nevile2006a
 
|Key=Nevile2006a
 
|Year=2006
 
|Year=2006
 
|Journal=Human Factors and Aerospace Safety
 
|Journal=Human Factors and Aerospace Safety
 
|Volume=6
 
|Volume=6
|Pages=35-50
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|Number=1
|URL=https://trid.trb.org/view.aspx?id=836618
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|Pages=35–50
|DOI=http://worldcat.org/oclc/47250898
 
 
|Abstract=Appropriate and effective verbal communication is essential for many areas of aviation operations. This paper is the first of two which together present a model for representing and analyzing verbal communication in detail, as it occurs in context. The model draws on methods, insights, and findings of conversation analysis, an established academic field within sociology. The model can be used whenever it is possible to make detailed transcriptions from audio and video recordings of naturally occurring aviation communication. This paper deals with representing recorded communication data, and outlines a rationale and processes for transcribing communication in micro-detail. The proposed model can be used to complement other means of examining communication for accident investigation, human factors research, and operations and training purposes.
 
|Abstract=Appropriate and effective verbal communication is essential for many areas of aviation operations. This paper is the first of two which together present a model for representing and analyzing verbal communication in detail, as it occurs in context. The model draws on methods, insights, and findings of conversation analysis, an established academic field within sociology. The model can be used whenever it is possible to make detailed transcriptions from audio and video recordings of naturally occurring aviation communication. This paper deals with representing recorded communication data, and outlines a rationale and processes for transcribing communication in micro-detail. The proposed model can be used to complement other means of examining communication for accident investigation, human factors research, and operations and training purposes.
 
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Latest revision as of 08:36, 13 November 2019

Nevile2006a
BibType ARTICLE
Key Nevile2006a
Author(s) Maurice Nevile
Title A conversation analysis model for examining aviation communication in context, Part I: Processes for representing data
Editor(s)
Tag(s) EMCA, Conversation Analysis, Airline cockpit, Data
Publisher
Year 2006
Language
City
Month
Journal Human Factors and Aerospace Safety
Volume 6
Number 1
Pages 35–50
URL
DOI
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title
Chapter

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Abstract

Appropriate and effective verbal communication is essential for many areas of aviation operations. This paper is the first of two which together present a model for representing and analyzing verbal communication in detail, as it occurs in context. The model draws on methods, insights, and findings of conversation analysis, an established academic field within sociology. The model can be used whenever it is possible to make detailed transcriptions from audio and video recordings of naturally occurring aviation communication. This paper deals with representing recorded communication data, and outlines a rationale and processes for transcribing communication in micro-detail. The proposed model can be used to complement other means of examining communication for accident investigation, human factors research, and operations and training purposes.

Notes