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The Organizational Neurodynamics of Teams

机译:团队的组织神经动力学

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Our objective was to apply ideas from complexity theory to derive expanded neurodynamic models of Submarine Piloting and Navigation showing how teams cognitively organize around task changes. The cognitive metric highlighted was an electroencephalography-derived measure of engagement (termed neurophysiologic synchronies of engagement) that was modeled into collective team variables showing the engagement of each of six team members as well as that of the team as a whole. We modeled the cognitive organization of teams using the information content of the neurophysiologic data streams derived from calculations of their Shannon entropy. We show that the periods of team cognitive reorganization (a) occurred as a natural product of teamwork particularly around periods of stress, (b) appeared structured around episodes of communication, (c) occurred following deliberate external perturbation to team function, and (d) were less frequent in experienced navigation teams. These periods of reorganization were lengthy, lasting up to 10 minutes. As the overall entropy levels of the neurophysiologic data stream are significantly higher for expert teams, this measure may be a useful candidate for modeling teamwork and its development over prolonged periods of training.
机译:我们的目标是运用来自复杂性理论的思想来推导潜艇导航和航行的扩展神经动力学模型,以显示团队如何围绕任务变更进行认知组织。突出显示的认知指标是脑电图得出的参与度(称为参与度的神经生理学同步性),可将其建模为集体团队变量,以显示六个团队成员以及整个团队的参与度。我们使用从香农熵计算得出的神经生理数据流的信息内容对团队的认知组织进行建模。我们显示团队认知重组的时期(a)作为团队合作的自然产物发生,尤其是在压力时期附近;(b)围绕交流事件而结构化;(c)在故意对团队功能进行外部扰动之后发生;以及(d )在经验丰富的导航团队中的频率较低。这些重组的时间很长,长达10分钟。由于专家团队的神经生理数据流的总体熵水平显着较高,因此该方法可能是建模团队精神及其在长期培训中发展的有用选择。

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