Aaron P.J. Roberts
State of science: models and methods for understanding and enhancing teams and teamwork in complex sociotechnical systems.
Roberts, Aaron P.J.; Webster, Leonie V.; Salmon, Paul M.; Flin, Rhona; Salas, Eduardo; Cooke, Nancy J.; Read, Gemma J.M.; Stanton, Neville A.
Authors
Leonie V. Webster
Paul M. Salmon
Professor Rhona Flin r.flin@rgu.ac.uk
Professor
Eduardo Salas
Nancy J. Cooke
Gemma J.M. Read
Neville A. Stanton
Abstract
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. Practitioner summary: 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.
Citation
ROBERTS, A.P.J., WEBSTER, L.V., SALMON, P.M., FLIN, R., SALAS, E., COOKE, N.J., READ, G.J.M. and STANTON, N.A. 2022. State of science: models and methods for understanding and enhancing teams and teamwork in complex sociotechnical systems. Ergonomics [online], 65(2), pages 161-187. Available from: https://doi.org/10.1080/00140139.2021.2000043
Journal Article Type | Review |
---|---|
Acceptance Date | Oct 21, 2021 |
Online Publication Date | Dec 23, 2021 |
Publication Date | Feb 28, 2022 |
Deposit Date | Feb 17, 2022 |
Publicly Available Date | Dec 24, 2022 |
Journal | Ergonomics |
Print ISSN | 0014-0139 |
Electronic ISSN | 1366-5847 |
Publisher | Taylor and Francis |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1080/00140139.2021.2000043 |
Keywords | Team; Teamwork; Measurement; Team training; Interventions |
Public URL | https://rgu-repository.worktribe.com/output/1569398 |
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ROBERTS 2022 State of science (AAM)
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Publisher Licence URL
https://creativecommons.org/licenses/by-nc/4.0/
Copyright Statement
This is an Accepted Manuscript of an article published by Taylor & Francis in Ergonomics on 23.12.2021, available online: http://www.tandfonline.com/10.1080/00140139.2021.2000043.
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