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Patil G, Nalepka P, Novak A, Auletta F, Pepping GJ, Fransen J, Kallen RW, Richardson MJ. Dynamical biomarkers in teams and other multiagent systems. J Sci Med Sport 2023:S1440-2440(23)00074-9. [PMID: 37150726 DOI: 10.1016/j.jsams.2023.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 02/26/2023] [Accepted: 04/17/2023] [Indexed: 05/09/2023]
Abstract
Effective team behavior in high-performance environments such as in sport and the military requires individual team members to efficiently perceive the unfolding task events, predict the actions and action intents of the other team members, and plan and execute their own actions to simultaneously accomplish individual and collective goals. To enhance team performance through effective cooperation, it is crucial to measure the situation awareness and dynamics of each team member and how they collectively impact the team's functioning. Further, to be practically useful for real-life settings, such measures must be easily obtainable from existing sensors. This paper presents several methodologies that can be used on positional and movement acceleration data of team members to quantify and/or predict team performance, assess situation awareness, and to help identify task-relevant information to support individual decision-making. Given the limited reporting of these methods within military cohorts, these methodologies are described using examples from team sports and teams training in virtual environments, with discussion as to how they can be applied to real-world military teams.
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Affiliation(s)
- Gaurav Patil
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Center for Elite Performance, Expertise and Training, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia.
| | - Patrick Nalepka
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Center for Elite Performance, Expertise and Training, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia.
| | - Andrew Novak
- Human Performance Research Centre, Sport and Exercise Science, Faculty of Health, University of Technology Sydney, Australia; High Performance Department, Rugby Australia, Australia
| | - Fabrizia Auletta
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Department of Engineering Mathematics, University of Bristol, UK
| | - Gert-Jan Pepping
- School of Behavioural and Health Sciences, Australian Catholic University, Australia
| | - Job Fransen
- Department of Human Movement Sciences, University of Groningen, Netherlands
| | - Rachel W Kallen
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Center for Elite Performance, Expertise and Training, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia
| | - Michael J Richardson
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia; Center for Elite Performance, Expertise and Training, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia
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