Guastello Stephen J, Marra David E, Castro Julian, Equi Michael, Peressini Anthony F
Marquette University, Milwaukee, WI.
Nonlinear Dynamics Psychol Life Sci. 2017 Jul;21(3):319-334.
This study investigated the stationarity of electrodermal time series collected in situations where turn taking in human interactions are involved. In this context, the stationarity of the time series is the extent to which a simple model can be used to fit the entire time series. The experiment involved seven participants in an emergency response simulation against one opponent. They generated 48 time series across six simulations, which were split and re-spliced to separate the team's turns and the opponent's turns. Significant differences in R2 coefficients were found for both linear and nonlinear statistical models between experimental conditions, but the difference only amounted to 3% of the accuracy of those models relative to the original data. It was thus concluded that the impact of turn taking on stationarity was a small effect at most. A comparison of synchronization coefficients for the team data, which rely on the collective accuracy of the individual time series models, indicated stronger synchronization during periods when the team was watching the opponent's actions compared to when they took their own turns. It was thus concluded, furthermore, that the common focus of attention prevailed against any non-stationarity that was introduced by turn taking.
本研究调查了在涉及人际互动中轮流发言的情境下收集的皮肤电时间序列的平稳性。在此背景下，时间序列的平稳性是指一个简单模型能够拟合整个时间序列的程度。该实验让七名参与者针对一名对手进行应急响应模拟。他们在六次模拟中生成了48个时间序列，并对这些序列进行拆分和重新拼接，以区分团队的轮流发言和对手的轮流发言。实验条件之间的线性和非线性统计模型的R2系数存在显著差异，但该差异仅相当于这些模型相对于原始数据准确性的3%。因此得出结论，轮流发言对平稳性的影响至多是一个小效应。对团队数据同步系数的比较（该系数依赖于各个时间序列模型的集体准确性）表明，与团队自己轮流发言时相比，团队观看对手行动期间的同步性更强。因此进一步得出结论，共同关注焦点克服了由轮流发言引入的任何非平稳性。
