This article discusses the role of moment-to-moment affect dynamics in mental disorder and aims to integrate recent literature on this topic in the context of complex dynamical system theory. First, we will review the relevance of temporal and contextual aspects of affect dynamics in relation to psychopathology. Related to this, we will discuss recent insights resulting from a network view on affect dynamics in psychopathology. Next, we explore how we can reconcile literature findings from a perspective of complex dynamical system (...) theory. Finally, future directions with regard to personalized assessment of risk and diagnostic use are discussed. (shrink)

We discuss three varieties of affective dynamics. In each case, we suggest how these affective dynamics should be operationalized and measured in daily life using time-intensive methods, like ecological momentary assessment or ambulatory assessment, and recommend time-sensitive analyses that take into account not only the variability but also the temporal dependency of reports. Studies that explore how these affective dynamics are associated with psychological disorders and symptoms are reviewed, and we emphasize that these affective processes are within a nexus of (...) other components of emotion regulation. (shrink)

In this paper we integrate claims and findings concerning the social functions of emotions at the individual, dyadic, group, and cultural levels of analysis. Across levels of analysis theorists assume that emotions solve problems important to social relationships in the context of ongoing interactions. Theorists diverge, however, in their assumptions about the origins, defining characteristics, and consequences of emotions, and in their preferred forms of data. We illustrate the differences and compatibilities among these levels of analysis for the specific case (...) of embarrassment. We close by suggesting research strategies that incorporate a social-functional perspective. (shrink)

The construct of flexibility has been a focus for research and theory for over 100 years. However, flexibility has not been consistently or adequately defined, leading to obstacles in the interpretation of past research and progress toward enhanced theory. We present a model of socioemotional flexibility—and its counterpart rigidity—at three time scales using dynamic systems modeling. At the real-time scale (micro), moment-to-moment fluctuations in affect are identified as dynamic flexibility. At the next higher meso-time scale, adaptive adjustments to changes in (...) context are characterized as reactive flexibility. At the macro scale is flexibility that occurs across months or years, reflecting flexibility due to developmental or life transitions. Implications of the model and suggestions for future research are discussed. (shrink)

The current article aims to provide an up-to-date synopsis of available techniques to study affect dynamics using intensive longitudinal data. We do so by introducing the following eight dichotomies that help elucidate what kind of data one has, what process aspects are of interest, and what research questions are being considered: single- versus multiple-person data; univariate versus multivariate models; stationary versus nonstationary models; linear versus nonlinear models; discrete time versus continuous time models; discrete versus continuous variables; time versus frequency domain; (...) and modeling the process versus computing descriptives. In addition, we discuss what we believe to be the most urging future challenges regarding the modeling of affect dynamics. (shrink)

Everything is constantly changing. Our emotions are one of the primary ways we track, evaluate, organize, and motivate responsive action to those changes. Furthermore, emotions are inherently interpersonal. We learn what to feel from others, especially when we are children. We “catch” other people’s emotions just by being around them. We get caught in escalating response–counterresponse emotional sequences. This all takes place in time, generating complex patterns of interpersonal emotional dynamics. This review summarizes theory, empirical findings, and key challenges for (...) future research regarding three processes that contribute to interpersonal affective dynamics: Convergence of social partners’ emotional responses to the external world, emotional reactivity of social partners to each other, and interpersonal emotion regulation. (shrink)

Coregulation refers to the process by which relationship partners form a dyadic emotional system involving an oscillating pattern of affective arousal and dampening that dynamically maintains an optimal emotional state. Coregulation may represent an important form of interpersonal emotion regulation, but confusion exists in the literature due to a lack of precision in the usage of the term. We propose an operational definition for coregulation as a bidirectional linkage of oscillating emotional channels between partners, which contributes to emotional stability for (...) both partners. We propose several distinctions and raise unanswered questions that will need to be addressed in order to understand the relevance of coregulation for well-being in adulthood. (shrink)