It is widely believed that there are some emotions which are universally associated with distinctive facial expressions and that one can recognize, universally, an angry face, a happy face, a sad face, and so on. The "basic emotions " are believed to be part of the biological makeup of human species and to be therefore "hardwired". In contrast to this view, Or tony and Turner have suggested that it is not emotions but some components of emotions which are universally linked (...) with certain facial expressions, or rather with some components of facial expressions. Ortony and Turner have made a good case for this hypothesis. But the theory will be more convincing - and indeed more verifiable - if the postulated "dissociable components of emotions" are formulated in a rigorous, and culture-independent manner. The paper argues that the Natural Semantic Metalanguage, based on universal semantic primitives and devised by the author and colleagues, provides a suitable culture-independent framework. (shrink)

Emotions are viewed as having evolved through their adaptive value in dealing with fundamental life-tasks. Each emotion has unique features: signal, physiology, and antecedent events. Each emotion also has characteristics in common with other emotions: rapid onset, short duration, unbidden occurrence, automatic appraisal, and coherence among responses. These shared and unique characteristics are the product of our evolution, and distinguish emotions from other affective phenomena.

Emotion is conceptualised as an emergent, dynamic process based on an individual's subjective appraisal of significant events. It is argued that theoretical models of emotion need to propose an architecture that reflects the essential nature and functions of emotion as a psychobiological and cultural adaptation mechanism. One proposal for such a model and its underlying dynamic architecture, the component process model, is briefly sketched and compared with some of its major competitors. Recent empirical evidence in support of the model is (...) reviewed. Special emphasis is given to the dynamic aspect of emotion processes, in particular the sequence of appraisal checks and the synchronisation of response systems, as well as the capacity of the model to predict individual differences in emotional responding. (shrink)

I describe my current thinking on two old questions—the causal role of appraisals and the relationship of appraisal theories to basic emotions theories and constructivist theories, and three (sort of) new questions—the completeness of appraisals, the role of language, and the development of automaticity in emotional responses.

Many appraisal theories claim that appraisal causes emotion. Critics have rejected this claim because they believe (a) it is incompatible with the claim that appraisal is a part of emotion, (b) it is not empirically supported, (c) it is circular and hence nonempirical, and (d) there are alternative causes. I reply that (a) the causal claim is incompatible with the part claim on some but not all interpretations of the causal claim and the part claim, (b) the lack of empirical (...) support can be remedied, (c) there may even be ways to cope with the circularity problem, and (d) it is unclear to what extent the alternative causes differ from appraisal. (shrink)

Many psychological scientists and behavioral neuroscientists affirm that “emotion” influences thinking, decision-making, actions, social relationships, well-being, and physical and mental health. Yet there is no consensus on a definition of the word “emotion,” and the present data suggest that it cannot be defined as a unitary concept. Theorists and researchers attribute quite different yet heuristic meanings to “emotion.” They show considerable agreement about emotion activation, functions, and regulation. The central goal of this article is to alert researchers, students, and other (...) consumers of “emotion” research to the multiple meanings or aspects that distinguished scientists attribute to ”emotion,” increase appreciation of its interesting and challenging complexity, and sharpen perspectives on “emotion” and the associated body of literature that is of critical significance to science and society. (shrink)

Several authors have argued that higher taxa are monophyletic homeostatic property cluster natural kinds. On the traditional definition of monophyly, this will not work: the emergence of taxon-defining homeostatic property clusters would not always correspond to unique speciation events. An alternative conception of monophyly is developed and advocated, which can accommodate the homeostatic property cluster proposal. Recent work in philosophy of science shows that it meets appropriate standards of objectivity and precision.

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)

It is surprising how far one can get by thinking things through. (Alec Fisher [2004], The logic of real arguments, p. 1)In the first part of the article, the central role of theory in emotion psych...

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)

A new experimental paradigm involving a computerised quiz was used to examine, on an intra-individual level, the strength of association between four components of the surprise syndrome: cognitive (degree of prospectively estimated unexpectedness), experiential (the feeling of surprise), behavioural (degree of response delay on a parallel task), and expressive (the facial expression of surprise). It is argued that this paradigm, together with associated methods of data analysis, effectively controls for most method factors that could in previous studies have lowered the (...) correlations among the components of emotion syndromes. It was found that (a) the components of the surprise syndrome were all positively correlated; (b) strong association existed only between the cognitive and the experiential component of surprise; (c) the coherence between syndrome components did not increase with increasing intensity of surprise; and (d) there was also only moderate coherence between the components of the facial expression of surprise (eyebrow raising, eye widening, mouth opening), although in this case, coherence tended to increase with intensity. Taken together, the findings support only a weakly probabilistic version of a behavioural syndrome view of surprise. However, the component correlations seem strong enough to support the existence of strong associations among a subset of the mental or central neurophysiological processes engaged in surprise. (shrink)

A definition of emotion common to the affective sciences is an urgent desideratum. Lack of such a definition is a constant source of numerous misunderstandings and a series of mostly fruitless debates. There is little hope that there ever will be agreement on a common definition of emotion, given the sacred traditions of the disciplines involved and the egos of the scholars working in these disciplines. Our aim here is more modest. We propose a list of elements for a working (...) definition of emotion and discuss the justification for the inclusion of elements from our respective perspectives (philosophy and psychology). This working partial definition may at least serve as a litmus test to examine theories of emotion, old and new, across disciplinary boundaries. (shrink)

Research on cognition and emotion during the past 30 years has made reasonable progress in theory, methods and empirical research. New theories of the cognition–emotion relation have been proposed, emotion research has become more interdisciplinary, and improved methods of emotion measurement have been developed. On the empirical side, the main achievement of the past 30 years is seen to consist in the reduction of the set of serious contenders for a theory of emotions. Still, several important issues are not fully (...) resolved, including the computational implementation of appraisal processes, the nature of emotions, and the link between emotions and actions. Also, quantitative theories of the cognition–emotion relation need to be refined and tested, and improved theories of the link between emotions and bodily and facial expressions need to be developed. To counter the dangers of theoretical fragmentation and knowledge loss, more efforts should be devoted to the analysis, reconstruction, comparison and integration of important theories and hypotheses in the field of emotion, as well as to the systematization of arguments in favor and against these theories and hypotheses. (shrink)

I reject Lindquist et al.'s implicit claim that all emotion theories other than constructionist ones subscribe to a “brain locationist” approach. The neural mechanisms underlying relevance detection, reward, attention, conceptualization, or language use are consistent with many theories of emotion, in particular componential appraisal theories. I also question the authors' claim that the meta-analysis they report provides support for thespecificassumptions of constructionist theories.

As an alternative to using the concepts of emotion, fear, anger, and the like as scientific tools, this article advocates an approach based on the concepts of core affect and psychological construction, expanding the domain of inquiry beyond “emotion”. Core affect is a neurophysiological state that underlies simply feeling good or bad, drowsy or energised. Psychological construction is not one process but an umbrella term for the various processes that produce: (a) a particular emotional episode's “components” (such as facial movement, (...) vocal tone, peripheral nervous system change, appraisal, attribution, behaviour, subjective experience, and emotion regulation); (b) associations among the components; and (c) the categorisation of the pattern of components as a specific emotion. (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.

In this paper we discuss the issue of the processes potentially underlying the emergence of emotional consciousness in the light of theoretical considerations and empirical evidence. First, we argue that componential emotion models, and specifically the Component Process Model , may be better able to account for the emergence of feelings than basic emotion or dimensional models. Second, we advance the hypothesis that consciousness of emotional reactions emerges when lower levels of processing are not sufficient to cope with the event (...) and regulate the emotional process, particularly when the degree of synchronization between the components reaches a critical level and duration. Third, we review recent neuroscience evidence that bolsters our claim of the central importance of the synchronization of neuronal assemblies at different levels of processing. (shrink)

A cumulative emotion science requires sustained investments in theory development. To encourage such investments, a new section will be added to Cognition & Emotion that is specifically devoted to...

The present article reviews modern research on the psychology of emotion regulation. Emotion regulation determines the offset of emotional responding and is thus distinct from emotional sensitivity, which determines the onset of emotional responding. Among the most viable categories for classifying emotion-regulation strategies are the targets and functions of emotion regulation. The emotion-generating systems that are targeted in emotion regulation include attention, knowledge, and bodily responses. The functions of emotion regulation include satisfying hedonic needs, supporting specific goal pursuits, and facilitating (...) the global personality system. Emotion-regulation strategies are classified in terms of their targets and functions and relevant empirical work is reviewed. Throughout this review, emotion regulation emerges as one of the most far-ranging and influential processes at the interface of cognition and emotion. (shrink)

Emotion experience reflects some of the outcomes of the mostly nonconscious processes that compose emotions. In my view, the major processes are appraisal, affect, action readiness, and autonomic arousal. The phenomenology of emotion experience varies according to mode of consciousness (nonreflective or reflective consciousness), and to direction and mode of attention. As a result, emotion experience may be either ineffable or articulate with respect to any or all of the underlying processes. In addition, emotion experience reflects the degree to which (...) the emotion processes control perception, thought, action and bodily arousal. (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)

Aesthetic emotions are elicited by different sensory impressions generated by music, visual arts, literature, theater, film, or nature scenes. Recently, the AESTHEMOS scale has been developed to facilitate the empirical assessment of such emotions. In this article we report a semantic profile analysis of aesthetic emotion terms that had been used for the development of this scale, using the GRID approach. This method consists of obtaining ratings of emotion terms on a set of meaning facets which represent five components of (...) the emotion process. The aims here were to determine the dimensionality of the GRID features when applied to aesthetic emotions and compare it to published results for emotion terms in general, and to examine the internal organization of the domain of aesthetic emotion terms in order to identify salient clusters of these items based on the similarity of their feature profiles on the GRID. Exploratory Principal Component Analyses suggest a four-dimensional structure of the semantic space consisting of valence, power, arousal, and novelty, converging with earlier GRID studies on large sets of standard emotion terms. Using cluster analyses, 15 clusters of aesthetic emotion terms with similar GRID feature profiles were identified, revealing the internal organization of the aesthetic emotion terms domain and meaningful subgroups of aesthetic emotions. While replication for further languages is required, these findings provide a solid basis for further research and methodological development in the realm of aesthetic emotions. (shrink)

Appraisal theories have described elaborate mechanisms underlying the elicitation of emotion at the psychological-cognitive level, but typically do not integrate neuroscientific concepts and findings. At the same time, theoretical developments in appraisal theory have been pretty much ignored by researchers studying the neuroscience of emotion. We feel that a stronger integration of these two literatures would be highly profitable for both sides. Here we outline a blueprint of the “appraising brain.” To this end, we review neuroimaging research investigating the processing (...) of major appraisal variables, and sketch a neuro-cognitive process model of appraisal with a special emphasis on the chronometry and the recursive aspect of emotional evaluation. We hope that this contribution will stimulate more hypothesis-driven research on the neuroscience of appraisal. (shrink)

This article suggests that methodological and conceptual advancements in affective sciences militate in favor of adopting an appraisal-driven componential approach to further investigate the emotional brain. Here we propose to operationalize this approach by distinguishing five functional networks of the emotional brain: the elicitation network, the expression network, the autonomic reaction network, the action tendency network, and the feeling network, and discuss these networks in the context of the affective neuroscience literature. We also propose that further investigating the “appraising brain” (...) is the royal road to better understand the elicitation network, and may be key to revealing the neural causal mechanisms underlying the emotion process as a whole. (shrink)