All for one and one for all: representing teams as a collection of individuals and an individual collective using a network perceptual cycle approach
All for one and one for all: representing teams as a collection of individuals and an individual collective using a network perceptual cycle approach
The Perceptual Cycle Model (PCM) has been successfully applied to explain individual decision making, however distributed decision making in teams is the focus of much research as it is more relevant in understanding complex sociotechnical systems. This paper explores team perceptual cycle processes. Four crew members from a helicopter search-and-rescue team were interviewed about an engine oil temperature incident using the critical decision method. Thematic analysis was employed to analyse the transcripts. It was demonstrated that the traditional perceptual cycle representation could not model the interconnectivity of teamwork effectively. As such, a network-based approach was employed to demonstrate the contributions of the different components of the PCM to the overall team process. Information processing patterns that are not modelled in the original PCM were found. Implications for this work in relation to modelling distributed cognition and application in the naturalistic decision making literature are discussed.
Relevance to industry:
The Perceptual Cycle Model underpins much research with industrial relevance, including decision making and situation awareness. Teams are a feature in all industrial applications; however the perceptual cycle model has yet to be applied to teams. A case study investigating a team representation of the perceptual cycle is presented and the implications discussed.
perceptual cycle model, teams, networks, decision making, distributed cognition
777-792
Plant, Katherine L.
3638555a-f2ca-4539-962c-422686518a78
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
September 2014
Plant, Katherine L.
3638555a-f2ca-4539-962c-422686518a78
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Plant, Katherine L. and Stanton, Neville A.
(2014)
All for one and one for all: representing teams as a collection of individuals and an individual collective using a network perceptual cycle approach.
International Journal of Industrial Ergonomics, 44 (5), .
(doi:10.1016/j.ergon.2014.05.005).
Abstract
The Perceptual Cycle Model (PCM) has been successfully applied to explain individual decision making, however distributed decision making in teams is the focus of much research as it is more relevant in understanding complex sociotechnical systems. This paper explores team perceptual cycle processes. Four crew members from a helicopter search-and-rescue team were interviewed about an engine oil temperature incident using the critical decision method. Thematic analysis was employed to analyse the transcripts. It was demonstrated that the traditional perceptual cycle representation could not model the interconnectivity of teamwork effectively. As such, a network-based approach was employed to demonstrate the contributions of the different components of the PCM to the overall team process. Information processing patterns that are not modelled in the original PCM were found. Implications for this work in relation to modelling distributed cognition and application in the naturalistic decision making literature are discussed.
Relevance to industry:
The Perceptual Cycle Model underpins much research with industrial relevance, including decision making and situation awareness. Teams are a feature in all industrial applications; however the perceptual cycle model has yet to be applied to teams. A case study investigating a team representation of the perceptual cycle is presented and the implications discussed.
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More information
Accepted/In Press date: 17 May 2014
e-pub ahead of print date: 30 September 2014
Published date: September 2014
Keywords:
perceptual cycle model, teams, networks, decision making, distributed cognition
Organisations:
Transportation Group
Identifiers
Local EPrints ID: 372468
URI: http://eprints.soton.ac.uk/id/eprint/372468
ISSN: 0169-8141
PURE UUID: b2688be1-0a40-43a8-9f23-71fa1fed01e9
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Date deposited: 11 Dec 2014 11:36
Last modified: 15 Mar 2024 03:36
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