State of science: models and methods for understanding and enhancing teams and teamwork in complex sociotechnical systems

Aaron P J Roberts; Leonie V Webster; Paul M Salmon; Rhona Flin; Eduardo Salas; Nancy J Cooke; Gemma J M Read; Neville A Stanton

doi:10.1080/00140139.2021.2000043

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State of science: models and methods for understanding and enhancing teams and teamwork in complex sociotechnical systems

Journal article

Peer reviewed

State of science: models and methods for understanding and enhancing teams and teamwork in complex sociotechnical systems

Aaron P J Roberts, Leonie V Webster, Paul M Salmon, Rhona Flin, Eduardo Salas, Nancy J Cooke, Gemma J M Read and Neville A Stanton

Ergonomics, Vol.65(2), pp.161-187

2022

DOI: https://doi.org/10.1080/00140139.2021.2000043

PMID: 34865613

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Abstract

team training

Team

interventions

teamwork

measurement

This state of the science review brings together the disparate literature of effective strategies for enhancing and accelerating team performance. The review evaluates and synthesises models and proposes recommended avenues for future research. The two major models of the Input-Mediator-Output-Input (IMOI) framework and the Big Five dimensions of teamwork were reviewed and both will need significant development for application to future teams comprising non-human agents. Research suggests that a multi-method approach is appropriate for team measurements, such as the integration of methods from self-report, observer ratings, event-based measurement and automated recordings. Simulations are recommended as the most effective team-based training interventions. The impact of new technology and autonomous agents is discussed with respect to the changing nature of teamwork. In particular, whether existing teamwork models and measures are suitable to support the design, operation and evaluation of human-nonhuman teams of the future. This review recommends a multi-method approach to the measurement and evaluation of teamwork. Team models will need to be adapted to describe interaction with non-human agents, which is what the future is most likely to hold. The most effective team training interventions use simulation-based approaches.

Details

Title: State of science: models and methods for understanding and enhancing teams and teamwork in complex sociotechnical systems
Authors: Aaron P J Roberts (Author) - University of Southampton
Leonie V Webster (Author) - University of Southampton
Paul M Salmon (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems Science
Rhona Flin (Author) - Robert Gordon University
Eduardo Salas (Author) - Department of Psychological Sciences, Rice University, Houston, TX, USA
Nancy J Cooke (Author) - Arizona State University
Gemma J M Read (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems Science
Neville A Stanton (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems Science
Publication details: Ergonomics, Vol.65(2), pp.161-187
Publisher: Taylor & Francis
Date published: 2022
DOI: 10.1080/00140139.2021.2000043
ISSN: 1366-5847
PMID: 34865613
Organisation Unit: Centre for Human Factors and Systems Science; University of the Sunshine Coast, Queensland; School of Health - Psychology
Language: English
Record Identifier: 99598307302621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Engineering, Industrial; Ergonomics; Psychology; Psychology, Applied