User Image Mismatch in Anesthesia Alarms: A Cognitive Systems Analysis
Författare
Summary, in English
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.
Avdelning/ar
- Lund University Centre for Risk Assessment and Management (LUCRAM)
- Avdelningen för Brandteknik
- Avdelningen för Riskhantering och Samhällssäkerhet
Publiceringsår
2013
Språk
Engelska
Sidor
1525-1534
Publikation/Tidskrift/Serie
Ergonomics
Volym
56
Issue
10
Dokumenttyp
Artikel i tidskrift
Förlag
Taylor & Francis
Ämne
- Production Engineering, Human Work Science and Ergonomics
Nyckelord
- anesthesia alarms
- cognitive systems engineering
- user image
- man–machine interaction
- alarms
- warnings
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 0014-0139