Because both emotional arousal and regulation are continuous, ongoing processes, it is difficult, if not impossible, to separate them. Thus, affective dynamics can reveal the regulation of emotion as it occurs in real time. One way that this can be done is through the examination of intra- and interpersonal flexibility or the transitions into and out of affective states. The present article reviews and then expands upon the Flex3 model of real-time dynamic and reactive flexibility, specifying the ways in which (...) individual differences in emotion regulation manifest as differences in flexibility. The differences in results at the real-time scale versus diurnal variability are also discussed within an emotion regulation framework. (shrink)

The current article aims to provide an up-to-date synopsis of available techniques to study affect dynamics using intensive longitudinal data (ILD). 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: (1) single- versus multiple-person data; (2) univariate versus multivariate models; (3) stationary versus nonstationary models; (4) linear versus nonlinear models; (5) discrete time versus continuous time models; (6) discrete (...) versus continuous variables; (7) time versus frequency domain; and (8) 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)

The articles in this special section attest to the vibrancy of research on affective dynamics. In this article, I raise a number of fundamental questions about affective chronometry that remain unanswered and largely unasked. These questions are: (a) What is the relation between the time course of positive and negative affect?; (b) What is the relation among measures that operate at different time scales?; (c) What underlies the duration of subjectively experienced emotion?; (d) Which parameters of affective chronometry matter most (...) for psychological and physical health and well-being?; and (e) Which interventions might specifically relieve suffering and promote well-being via impact on affective chronometry? The article concludes with some recommendations for future research in this area. (shrink)

Individual differences in emotional reactivity or affective style can be decomposed into more elementary constituents. Several separable of affective style are identified such as the threshold for reactivity, peak amplitude of response, the rise time to peak and the recovery time. latter two characteristics constitute components of affective chronometry The circuitry that underlies two fundamental forms of motivation and and withdrawal-related processes-is described. Data on differences in functional activity in certain components of these are next reviewed, with an emphasis on (...) the nomological network of surrounding individual differences in asymmetric prefrontal The relevance of such differences for understanding the nature affective dysfunction in affective disorders is then considered. The ends by considering what the prefrontal cortex “does” in certain of affective style and highlights some of the important questions for future research. (shrink)

Affective dynamics are discussed from the perspective of a view of origin and functions of affective valence based in control processes. This view posits that affect reflects the error signal of a feedback loop managing rate of progress at goal attainment or threat avoidance. Negative feelings signal doing poorly, demanding more effort. Positive feelings signal doing better than necessary, allowing coasting, which yields goal attainment without unnecessary resource expenditure. Given multiple simultaneous goals, these functions assist in moment-to-moment priority management, facilitating (...) attainment of all. (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: (a) Convergence of social partners’ emotional responses to the external world, (b) emotional reactivity of social partners to each other, and (c) interpersonal emotion regulation. (shrink)

According to the conceptual act theory, emotions emerge when physical sensations in the self and physical actions in others are meaningfully linked to situations during a process that can be called both cognitive and perceptual (creating emotional experiences, and emotion perceptions, respectively). There are key four hypotheses: (a) an emotion (like anger) is a conceptual category, populated with instances that are tailored to the environment; (b) each instance of emotion is constructed within the brain’s functional architecture of domain-general core systems; (...) (c) the workings of each system must be holistically understood within the momentary state of the brain, the body, and the surrounding context; (d) being emergent states, emotional episodes have functional features that physical states, alone, do not have. Similarities and differences to other theoretical approaches to emotion are discussed. (shrink)

We propose a sociodynamic model of emotions, in which emotions are seen as dynamic systems that emerge from the interactions and relationships in which they take place. Our model does not deny that emotions are biologically constrained, yet it takes seriously that emotions are situated in specific contexts. We conceive emotions as largely functional to the sociocultural environment in which they occur; this is so because sociocultural environments foster the emergence of emotions that positively contribute to social cohesion. The role (...) of the social context includes actual, online shaping—affordances, constraints, and reward structures—and thus goes beyond merely providing the content of cognitive representations (e.g., goals, concepts). (shrink)

Appraisal theories of emotion have two fundamental assumptions: (a) that there are regularities to be discovered between situations and components of emotional episodes, and (b) that the influence of these situations on these components is causally mediated by a mental process called appraisal. Appraisal theories come in different flavors, proposing different to-be-explained phenomena and different underlying mechanisms for the influence of appraisal on the other components.

Efforts to bridge emotion theory with neurobiology can be facilitated by dynamic systems (DS) modeling. DS principles stipulate higher-order wholes emerging from lower-order constituents through bidirectional causal processes cognition relations. I then present a psychological model based on this reconceptualization, identifying trigger, self-amplification, and self-stabilization phases of emotion-appraisal states, leading to consolidating traits. The article goes on to describe neural structures and functions involved in appraisal and emotion, as well as DS mechanisms of integration by which they interact. These mechanisms (...) include nested feedback interactions, global effects of neuromodulation, vertical integration, action-monitoring, and synaptic plasticity, and they are modeled in terms of both functional integration and temporal synchronization. I end by elaborating the psychological model of emotion–appraisal states with reference to neural processes. (shrink)

Over-time variability characterizes not only individual-level emotions, but also group-level emotions, those that occur when people identify with social groups and appraise events in terms of their implications for those groups. We discuss theory and research regarding the role of emotions in intergroup contexts, focusing on their dynamic nature. We then describe new insights into the causes and consequences of emotional dynamics that flow from conceptualizing emotions as based in group membership, and conclude with research recommendations.

We discuss three varieties of affective dynamics ( affective instability, emotional inertia, and emotional differentiation). 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)

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)

Forming intimate relationships is a fundamental human motive. Emotions play a critical role in intimate relationships—they are central to the development and maintenance of these bonds, and these very bonds can influence both individual and interpersonal emotional dynamics across time. Investigating emotional dynamics in an interpersonal context provides unique insight into the functioning of intimate relationships and, at the same time, provides a window into the interdependence of partners’ daily experiences. Reviewing a selection of the literature involving emotional dynamics in (...) intimate relationships, we explore how intimate relationships shape partner’s emotional experiences and the implications this may have for their relationship across time. (shrink)

Emotion theorists have long held that a fundamental characteristic of an emotion is how its constituent processes change and interact over time. Assessing these temporal dynamics of emotion in the brain is critical for understanding the neural representation of emotions as well as advancing theories of emotional processing. We review the neuroimaging research on three temporal dynamic features of emotion: time of onset, duration, and resurgence and show how assessing these temporal dynamics in the brain have led to improved understanding (...) of the structure and function of emotional processes such as revealing which appraisals come first, how emotional processing endures both explicitly and implicitly, and that the resurgence of emotional processing may consist of either single or multiple processes. (shrink)

Emotions are traditionally considered to be brief states that last for seconds or a few minutes at most. However, due to pioneering theoretical work of Frijda and recent empirical studies, it has become clear that the duration of emotions is actually highly variable with durations ranging from a few seconds to several hours, or even longer. We review research on determinants of emotion duration. Three classes of determinants are identified: features related to the (a) emotion-eliciting event (event duration and event (...) appraisal), (b) emotion itself (nature of the emotion component, nature of the emotion, and emotion intensity), and (c) emotion-experiencing person (dispositions and emotion regulatory actions). Initial evidence on the psychological and neural mechanisms that underlie their effects is discussed. (shrink)

According to evolutionary accounts of distinct emotions, these emotions are shaped by natural selection to adjust the physiological, psychological, cognitive, and behavioral parameters of an organism to facilitate its capacity to respond adaptively to threats and opportunities present in the environment. This account has a number of implications, most notably: (a) each distinct emotion serves, or served, an adaptive function, and (b) emotions are comprised of multiple components, all of which should be functional. In this article, I briefly outline an (...) evolutionary approach to understanding distinct emotions, then explain how this approach could be falsified, how one’s own emotion experience differs from the observation of an emotion experience in someone else, and why variability in emotional responding should be expected. (shrink)