a School of Medicine, UCLA , Los Angeles , USA.
Soc Neurosci. 2014;9(2):160-73. doi: 10.1080/17470919.2014.883324.
The goal was to develop quantitative models of the neurodynamic organizations of teams that could be used for comparing performance within and across teams and sessions. A symbolic modeling system was developed, where raw electroencephalography (EEG) signals from dyads were first transformed into second-by-second estimates of the cognitive Workload or Engagement of each person and transformed again into symbols representing the aggregated levels of the team. The resulting neurodynamic symbol streams had a persistent structure and contained segments of differential symbol expression. The quantitative Shannon entropy changes during these periods were related to speech, performance, and team responses to task changes. The dyads in an unscripted map navigation task (Human Communication Research Centre (HCRC) Map Task (MT)) developed fluctuating dynamics for Workload and Engagement, as they established their teamwork rhythms, and these were disrupted by external changes to the task. The entropy fluctuations during these disruptions differed in frequency, magnitude, and duration, and were associated with qualitative and quantitative changes in team organization and performance. These results indicate that neurodynamic models may be reliable, sensitive, and valid indicators of the changing neurodynamics of teams around which standardized quantitative models can begin to be developed.
目的是开发团队神经动力学组织的定量模型，可用于比较团队内和团队间以及各轮次的表现。为此开发了一个符号建模系统，该系统将来自二人组的原始脑电图 (EEG) 信号首先转换为每个人的认知工作量或投入的逐秒估计值，然后再次转换为代表团队综合水平的符号。由此产生的神经动力学符号流具有持久的结构，并且包含差分符号表达的片段。这些期间的定量香农熵变化与言语、表现以及团队对任务变化的反应有关。在非脚本地图导航任务（人类通信研究中心 (HCRC) 地图任务 (MT)）中，二人组在建立团队协作节奏时，其工作量和投入呈现波动动态，而这些动态会因任务的外部变化而受到干扰。这些干扰期间的熵波动在频率、幅度和持续时间上有所不同，与团队组织和表现的定性和定量变化有关。这些结果表明，神经动力学模型可能是团队神经动力学变化的可靠、敏感和有效指标，围绕这些指标可以开始开发标准化的定量模型。
