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四种对偶同步模型的比较。

A Comparison of Four Dyadic Synchronization Models.

机构信息

Marquette University, Milwaukee, WI.

出版信息

Nonlinear Dynamics Psychol Life Sci. 2021 Jan;25(1):19-39.

PMID:33308388
Abstract

Synchronization is a special case of self-organization in which one can observe close mimicry in behavior of the system components. Synchrony in body movements, autonomic arousal, and EEG activity among human individuals has attracted considerable attention for their possible roles in social interaction. This article is specifically concerned with autonomic synchrony and finding the best model for the dyadic relationships, with regard to both theoretical and empirical accuracy, that could be extrapolated to synchrony levels for groups and teams of three or more people. The four models that are compared in this study have different theoretical origins: the two-variable linear regression function, a three-parameter nonlinear regression function, the logistic map function stated in polynomial form, and the logistic map function stated as an exponential regression structure. The data for this study were electrodermal responses collected from a team of four people engaged in an emergency response simulation that produced 12 dyadic time series. Results shows strong levels of fit between the data and all four models, although there were significant differences among them. Further research directions point toward finding conditions that favor one model over another and exploring other possible nonlinear structures.

摘要

同步是自组织的一种特殊情况,在这种情况下,可以观察到系统组件行为之间的紧密模仿。人体运动、自主唤醒和 EEG 活动的同步引起了相当大的关注,因为它们可能在社会互动中发挥作用。本文特别关注自主同步,并寻找最佳模型来描述双人关系,无论是在理论还是实证准确性方面,都可以外推到三人或更多人的群体和团队的同步水平。在这项研究中比较的四个模型具有不同的理论起源:双变量线性回归函数、三参数非线性回归函数、以多项式形式表示的逻辑斯谛映射函数和表示为指数回归结构的逻辑斯谛映射函数。这项研究的数据是从一组四人参与应急响应模拟时收集的皮肤电反应,模拟产生了 12 个双人时间序列。结果表明,数据与所有四个模型之间具有很强的拟合度,尽管它们之间存在显著差异。进一步的研究方向指向寻找有利于一种模型而不是另一种模型的条件,并探索其他可能的非线性结构。

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