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User Image Mismatch in Anesthesia Alarms: A Cognitive Systems Analysis

Raymer, Karen and Bergström, Johan LU (2013) In Ergonomics 56(10). p.1525-1534
Abstract
In this study, principles of Cognitive Systems Engineering are used to better understand the human–machine interaction manifesting in the use of anaesthesia alarms. The hypothesis is that the design of the machine incorporates built-in assumptions of the user that are discrepant with the anaesthesiologist's self-assessment, creating ‘user image mismatch’. Mismatch was interpreted by focusing on the ‘user image’ as described from the perspectives of both machine and user. The machine-embedded image was interpreted through document analysis. The user-described image was interpreted through user (anaesthesiologist) interviews. Finally, an analysis was conducted in which the machine-embedded and user-described images were contrasted to... (More)
In this study, principles of Cognitive Systems Engineering are used to better understand the human–machine interaction manifesting in the use of anaesthesia alarms. The hypothesis is that the design of the machine incorporates built-in assumptions of the user that are discrepant with the anaesthesiologist's self-assessment, creating ‘user image mismatch’. Mismatch was interpreted by focusing on the ‘user image’ as described from the perspectives of both machine and user. The machine-embedded image was interpreted through document analysis. The user-described image was interpreted through user (anaesthesiologist) interviews. Finally, an analysis was conducted in which the machine-embedded and user-described images were contrasted to identify user image mismatch. It is concluded that analysing user image mismatch expands the focus of attention towards macro-elements in the interaction between man and machine. User image mismatch is interpreted to arise from complexity of algorithm design and incongruity between alarm design and tenets of anaesthesia practice. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
anesthesia alarms, cognitive systems engineering, user image, man–machine interaction, alarms, warnings
in
Ergonomics
volume
56
issue
10
pages
1525 - 1534
publisher
Taylor & Francis
external identifiers
  • wos:000326674000005
  • scopus:84887998526
ISSN
0014-0139
DOI
10.1080/00140139.2013.830151
language
English
LU publication?
yes
id
824d16cf-ea6b-4002-9cc6-9dc2a69afcba (old id 4173244)
date added to LUP
2013-11-26 13:03:55
date last changed
2019-02-20 01:43:21
@article{824d16cf-ea6b-4002-9cc6-9dc2a69afcba,
  abstract     = {In this study, principles of Cognitive Systems Engineering are used to better understand the human–machine interaction manifesting in the use of anaesthesia alarms. The hypothesis is that the design of the machine incorporates built-in assumptions of the user that are discrepant with the anaesthesiologist's self-assessment, creating ‘user image mismatch’. Mismatch was interpreted by focusing on the ‘user image’ as described from the perspectives of both machine and user. The machine-embedded image was interpreted through document analysis. The user-described image was interpreted through user (anaesthesiologist) interviews. Finally, an analysis was conducted in which the machine-embedded and user-described images were contrasted to identify user image mismatch. It is concluded that analysing user image mismatch expands the focus of attention towards macro-elements in the interaction between man and machine. User image mismatch is interpreted to arise from complexity of algorithm design and incongruity between alarm design and tenets of anaesthesia practice.},
  author       = {Raymer, Karen and Bergström, Johan},
  issn         = {0014-0139},
  keyword      = {anesthesia alarms,cognitive systems engineering,user image,man–machine interaction,alarms,warnings},
  language     = {eng},
  number       = {10},
  pages        = {1525--1534},
  publisher    = {Taylor & Francis},
  series       = {Ergonomics},
  title        = {User Image Mismatch in Anesthesia Alarms: A Cognitive Systems Analysis},
  url          = {http://dx.doi.org/10.1080/00140139.2013.830151},
  volume       = {56},
  year         = {2013},
}