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

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dc.citation.firstpage161
dc.citation.issueNumber2
dc.citation.journalTitleErgonomics
dc.citation.lastpage187
dc.citation.volumeNumber65
dc.contributor.authorRoberts, Aaron P. J.
dc.contributor.authorWebster, Leonie V.
dc.contributor.authorSalmon, Paul M.
dc.contributor.authorFlin, Rhona
dc.contributor.authorSalas, Eduardo
dc.contributor.authorCooke, Nancy J.
dc.contributor.authorRead, Gemma J. M.
dc.contributor.authorStanton, Neville A.
dc.date.accessioned2022-04-18T17:17:28Z
dc.date.available2022-04-18T17:17:28Z
dc.date.issued2022
dc.description.abstractThis 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.
dc.identifier.citationRoberts, Aaron P. J., Webster, Leonie V., Salmon, Paul M., et al.. "State of science: models and methods for understanding and enhancing teams and teamwork in complex sociotechnical systems." <i>Ergonomics,</i> 65, no. 2 (2022) Taylor & Francis: 161-187. https://doi.org/10.1080/00140139.2021.2000043.
dc.identifier.doihttps://doi.org/10.1080/00140139.2021.2000043
dc.identifier.urihttps://hdl.handle.net/1911/112107
dc.language.isoeng
dc.publisherTaylor & Francis
dc.titleState of science: models and methods for understanding and enhancing teams and teamwork in complex sociotechnical systems
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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