In their cognitive theory of emotion, Schachter and Singer proposed that feelings are separable from what they are about. As a test, they induced feelings of arousal by injecting epinephrine and then molded them into different emotions. They illuminated how feelings in one moment lead into the next to form a stream of conscious experience. We examine the construction of emotion in a similar spirit. We use the sensory integration process to understand how the brain combines disparate sources of information (...) to construct both perceptual and emotional models of the world even as the world continues to change. We emphasize two processes: affect segmentation (isolating the felt component of an emotion) and affect integration (recombining this feeling with its object). (shrink)

Although early emotion theorists posited that bodily changes contribute to emotion, the primary view in affective science over the last century has been that emotions produce bodily changes. Recent findings from physiology, neuroscience, and neuropsychology support the early intuition that body representations can help constitute emotion. These findings are consistent with the modern psychological constructionist hypothesis that emotions emerge when representations of bodily changes are conceptualized as an instance of emotion. We begin by introducing the psychological constructionist approach to emotion. (...) With Schachter as inspiration, we next examine how embodied representations contribute to affective states, and ultimately emotion, with inflammation as a key example. We close by looking forward to future research on how body representations contribute to human experience. (shrink)

Coan’s article persuasively argues for an emergent variable model of emotion. This commentary highlights one version of such an approach that has been adopted by some developmental researchers, the dynamical systems perspective.

Psychological construction constitutes a different paradigm for the scientific study of emotion when compared to the current paradigm that is inspired by faculty psychology. This new paradigm is more consistent with the post-Darwinian conceptual framework in biology that includes a focus on (a) population thinking (vs. typologies), (b) domain-general core systems (vs. physical essences), and (c) constructive analysis (vs. reductionism). Three psychological construction approaches (the OCC model, the iterative reprocessing model, and the conceptual act theory) are discussed with respect to (...) these ideas. (shrink)

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)

This article derives from the Buddhist Nikāya Suttas the idea that fear has an intentional object that is best analysed in anticipatory terms. Something is feared, I argue, if construed as dangerous, where to construe something as dangerous is to anticipate it will cause certain unwanted effects. To help explain what this means, I appeal to the concept of formal objects in the philosophy of emotions and to predictive processing accounts of perception. I demonstrate how this analysis of fear can (...) do exegetical work in the context of the Nikāya Suttas, and respond to philosophical issues concerning the relation between the intentional and anticipatory dimensions of fear; the relevant anticipated effects of feared objects; and whether fearing subjects necessarily know they anticipate unwanted effects. I also draw an analogy to allostatic sensations to engage issues concering how the anticipatory dimension of fear relates to the motivational. (shrink)

Emotional development is one of the largest and most productive areas of psychological research. For decades, researchers have been fascinated by how humans respond to, detect, and interpret emotional facial expressions. Much of the research in this area has relied on controlled stimulus sets of adults posing various facial expressions. Here we introduce a new stimulus set of emotional facial expressions into the domain of research on emotional development—The Child Affective Facial Expression set (CAFE). The CAFE set features photographs of (...) a racially and ethnically diverse group of 2- to 8-year-old children posing for six emotional facial expressions—angry, fearful, sad, happy, surprised, and disgusted—and a neutral face. In the current work, we describe the set and report validity and reliability data on the set from 100 untrained adult participants. (shrink)

We point out that constructionist models from experimental psychology account for the sociocultural, psychological, and neural levels of analysis in emotion. Individual constructionist models form a “metamodel” that integrates the levels of analysis important to a science of emotion. By clarifying the multilevel nature of constructionism, we hope to help lay a strong foundation for future cross-disciplinary collaborations.

The precise relationship between the autonomic nervous system and emotion has been a topic of intense debate and research throughout the history of modern psychology. The present article considers some of the more influential theoretical frameworks that continue to drive contemporary research on the relationship between emotion and physiological processes. In particular, we highlight the multiple routes through which somatovisceral afference influences emotion and how this relates to the topic of emotion-specific patterns of autonomic nervous system activity.

In “Emergent Ghosts of the Emotion Machine,” James Coan neglects emotion displays involved in social communication and activity in central neurochemical systems associated with drug-induced changes in feelings and desires. Also, he fails to recognize that emotions are not rigidly bound to action tendencies, but rather have evolved internal signals to afford flexibility of response. Emotion indices naturally lack close coordination because different aspects—physiological arousal, expressive display, subjective experience—are differentially accessible to the responder and interaction partner, and therefore undergo different (...) social learning histories. Emotions are entities both at the biological level, involving special-purpose primes, and at the ecological level, involving displays reflecting communicative demands characteristic of a species. Language, not emotion, is the ghost in the machine. (shrink)

This article presents six ideas about the construction of emotion: (a) Emotions are more readily distinguished by the situations they signify than by patterns of bodily responses; (b) emotions emerge from, rather than cause, emotional thoughts, feelings, and expressions; (c) the impact of emotions is constrained by the nature of the situations they represent; (d) in the OCC account (the model proposed by Ortony, Clore, and Collins in 1988), appraisals are psychological aspects of situations that distinguish one emotion from another, (...) rather than triggers that elicit emotions; (e) analyses of the affective lexicon indicate that emotion words refer to internal mental states focused on affect; (f) the modularity of emotion, long sought in biology and behavior, exists as mental schemas for interpreting human experience in story, song, drama, and conversation. (shrink)

In this article, we introduce a theory on the dynamic development of affective processes, affect regulation, and the relationship between emotions and sport performance. The theory focusses on how affective processes emerge and develop during competitive sport involvement. Based on Scherer’s component process model, we postulate six components of emotion that interact with each other in a circular fashion: triggering processes, physiological reactions, action tendencies, expressive behaviors, subjective experience, and higher cognitive processes. The theory stresses the dynamics of affective processes (...) and describes the consequences for performance in competitive sports. It assumes that the peculiarities of different sports must be taken into account in order to understand the affective processes, and offers starting points on which strategies can be used to effectively regulate affective states. Consequences for research and practice are derived and discussed. To study the development of affective processes, future research should test the assumptions in ecologically valid contexts, such as real competitions or competition-like situations, using multi-component measures of emotions. (shrink)

A widespread perspective describes emotions as distinct categories bridged by fuzzy boundaries, indicating that emotions are distinct and dimensional at the same time. Theoretical and methodological approaches to this perspective still need further development. We conceptualize emotions as overlapping networks of causal relationships between emotion components—networks representing distinct emotions share components with and relate to each other. To investigate this conceptualization, we introduce network analysis to emotion research and apply it to the reanalysis of a data set on multiple positive (...) emotions. Specifically, we describe the estimation of networks from data, and the detection of overlapping communities of nodes in these networks. The network perspective has implications for the understanding of distinct emotions, their co-occurrence, and their measurement. (shrink)

High-quality social relationships predict a range of positive health outcomes, but no broadly accepted theory can explain the mechanisms of action in this area. The central argument of this article is that affective science can provide keys for integrating the diverse array of theoretical models concerning relationships and health. From nine prominent theories, we cull four components of relational affect that link social resources to health-related outcomes. This component model holds promise for integrating research from the different theoretical perspectives and (...) for generating new, mechanistic questions about the connection between relationships and health. The article closes by outlining three empirical study ideas that illustrate ways in which the different components can be studied together in the context of mechanism-focused research. (shrink)

New research on affective computing aiming to develop computer systems that recognize and respond to affective states can also contribute to the issues raised by Coan. Research on how humans interact with computers, and computer models that automatically recognize affective states from features in our physiology, behaviour, and language, may provide insights on how emotions that are experienced and expressed come to be. For example, there is empirical evidence that affect recognition techniques using several modalities are more accurate than those (...) using a single modality, but it is not clear if these improvements are caused by superadditivity (i.e., emergence) or redundancy. (shrink)