A Comparison of Four Dyadic Synchronization Models. Nonlinear Dynamics Psychol Life Sci 2021 Jan;25(1):19-39
Date
12/15/2020Pubmed ID
33308388Scopus ID
2-s2.0-85098241180 (requires institutional sign-in at Scopus site) 4 CitationsAbstract
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.
Author List
Guastello SJ, Peressini AFAuthor
Stephen Guastello BA,MA,PhD Professor in the Psychology department at Marquette UniversityMESH terms used to index this publication - Major topics in bold
ArousalAttention
Autonomic Nervous System
Electroencephalography
Emergencies
Galvanic Skin Response
Humans
Interpersonal Relations
Linear Models
Models, Psychological
Nonlinear Dynamics