Estimating Appropriate Lag Length for Synchronized Physiological Time Series: The Electrodermal Response.

Estimating Appropriate Lag Length for Synchronized Physiological Time Series: The Electrodermal Response.
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估计同步生理时间序列的适当滞后长度:皮肤电反应。

DOI:
10.1037/e573792014-012
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发表时间:
2015
期刊:
Nonlinear dynamics, psychology, and life sciences
影响因子:
--
通讯作者:
Matthew Malon
Matthew Malon
中科院分区:
--
文献类型:
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作者:
S. Guastello;K. Reiter;Matthew Malon

文献摘要

被引文献

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人与人之间自主唤醒的生理同步被认为是工作团队动力、治疗师-客户关系和其他人际动力的重要组成部分。本文研究了可能与工作团队相关的同步概念和数学模型。然而,在部署非线性建模之前,有必要制定一种确定适当滞后长度的策略。如果时间 2 处的测量是时间 1 处自身的函数以及来自另一个源的耦合效应,那么为了观察耦合效应,两次测量之间应允许经过的适当实时时间量是多少?这项研究探讨了四种这样做的策略。在实验中,78 名本科生两人一组执行 90 分钟的警惕双重任务,同时记录皮肤电反应 (GSR)。基于互熵和自然率标准的滞后产生了确凿的结果,而基于线性自相关(最大 r/e)和 Theiler W 的临界下降的策略在这种情况下没有产生可用的结果。基于互熵的线性自相关强度和滞后与任务表现和工作负载主观评分之间发现了一些联系。
Physiological synchronization of autonomic arousal between people is thought to be an important component of work team dynamics, therapist-client relationships, and other interpersonal dynamics. This article examines concepts and mathematical models of synchronization that could be relevant to work teams. Before it is possible to deploy nonlinear modeling, however, it is necessary to develop a strategy for determining appropriate lag lengths. If a measurement at time 2 is a function of itself at time 1 and a coupling effect from another source, what is the appropriate amount of real time that should be allowed to elapse between the two measurements in order to observe the coupling effect? This study examined four strategies for doing so. In the experiment, 78 undergraduates worked in pairs to perform a vigilance dual task for 90 min while galvanic skin responses (GSR) were recorded. Lags based on mutual entropy and the natural rate criteria produced corroborating results, whereas strategies based on a critical decline in the linear autocorrelation (max r/e) and Theiler's W did not produce usable results for this situation. Some connections were uncovered between linear autocorrelation strength and lag based on mutual entropy with performance on the tasks and subjective ratings of workload.