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Analyzing the Dynamics of Affective Dyadic Interactions Using Patterns of Intra- and Interindividual Variability

机译:使用个体间和个体间变异性模式分析情感二元互动的动力学

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摘要

There are many compelling accounts of the ways in which the emotions of 1 member of a romantic relationship should influence and be influenced by the partner. However, there are relatively few methodological tools available for representing the alleged complexity of dyad level emotional experiences. In this article, we present an algorithm for examining such affective dynamics based on patterns of variability. The algorithm identifies periods of stability based on length of time and amplitude of emotional fluctuations. The patterns of variability and stability are quantified at the individual and dyadic level, and the approach is illustrated using data of the daily emotional experiences of individuals in romantic couples. With this technique, we examine the fluctuations of the emotions for each person and inspect the overlap fluctuations between both individuals in the dyad. The individual and dyadic indices of variability are then used to predict the status of the dyads (i.e., together, apart) 1 year later.
机译:有很多令人信服的说明,浪漫关系中一位成员的情感应该如何影响伴侣并受到伴侣的影响。但是,相对较少的方法论工具可用来表示所谓的二元组情感体验的复杂性。在本文中,我们提出了一种基于变异模式检查这种情感动态的算法。该算法根据时间长度和情绪波动幅度识别稳定期。变异性和稳定性的模式在个体和二进位水平上进行了量化,并使用浪漫情侣中个体日常情感经历的数据说明了这种方法。使用这种技术,我们可以检查每个人的情绪波动,并检查双胞胎中两个人之间的重叠波动。然后使用个体和二元的可变性指数预测一年后二元组的状态(即在一起,分开)。

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