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)

Appraisal theories of emotion have had a strong impact on the development of theory and experimental research in the domain of the affective sciences. While there is generally a high degree of convergence between theorists in this tradition, some central issues are open to debate. In this contribution three issues have been chosen for discussion: (a) varieties of relevance detection, (b) varieties of valence appraisal, and (c) sequential-cumulative effects of appraisal results. In addressing these issues, new theoretical ideas are suggested (...) and an update of recent research on the sequence of appraisal processes is provided. Special emphasis is placed on nonverbal signatures of appraisal processes. (shrink)

We highlight the need to focus on the underlying determinants and production mechanisms to fully understand the nature of facial expression of emotion and to settle the theoretical debate about the meaning of motor expression. Although emotion theorists have generally remained rather vague about the details of the process, this has been a central concern of componential appraisal theories. We describe the fundamental assumptions and predictions of this approach regarding the patterning of facial expressions for different emotions. We also review (...) recent evidence for the assumption that specific facial muscle movements may be reliable symptoms of certain appraisal outcomes and that facial expressions unfold over time on the basis of a sequence of appraisal check results. (shrink)

Emotional expressions constitute a rich source of information. Integrating theorizing on attribution, appraisal processes, and the use of emotions as social information, we examined how emotional expressions influence attributions of agency and responsibility under conditions of ambiguity. Three vignette studies involving different scenarios indicate that participants used information about others’ emotional expressions to make sense of ambiguous social situations. Expressions of regret fueled inferences that the expresser was responsible for an adverse situation, whereas expressions of anger fueled inferences that someone (...) else was responsible. Also, expressions of anger were interpreted as a sign of injustice, and expressions of disappointment increased prosocial intentions (i.e., to help the expresser). The results show that emotional expressions can help people understand ambiguous social situations by informing attributions that correspond with each emotion’s associated appraisal structures. The findings advance understanding of the ways in which emotional expressions help individuals understand and coordinate social life. (shrink)

Researchers have theoretically proposed that humans decode other individuals' emotions or elementary cognitive appraisals from particular sets of facial action units (AUs). However, only a few empirical studies have systematically tested the relationships between the decoding of emotions/appraisals and sets of AUs, and the results are mixed. Furthermore, the previous studies relied on facial expressions of actors and no study used spontaneous and dynamic facial expressions in naturalistic settings. We investigated this issue using video recordings of facial expressions filmed unobtrusively (...) in a real-life emotional situation, specifically loss of luggage at an airport. The AUs observed in the videos were annotated using the Facial Action Coding System. Male participants ( n = 98) were asked to decode emotions (e.g., anger) and appraisals (e.g., suddenness) from facial expressions. We explored the relationships between the emotion/appraisal decoding and AUs using stepwise multiple regression analyses. The results revealed that all the rated emotions and appraisals were associated with sets of AUs. The profiles of regression equations showed AUs both consistent and inconsistent with those in theoretical proposals. The results suggest that (1) the decoding of emotions and appraisals in facial expressions is implemented by the perception of set of AUs, and (2) the profiles of such AU sets could be different from previous theories. (shrink)

Temporal dynamics have been increasingly recognized as an important component of facial expressions. With the need for appropriate stimuli in research and application, a range of databases of dynamic facial stimuli has been developed. The present article reviews the existing corpora and describes the key dimensions and properties of the available sets. This includes a discussion of conceptual features in terms of thematic issues in dataset construction as well as practical features which are of applied interest to stimulus usage. To (...) identify the most influential sets, we further examine their citation rates and usage frequencies in existing studies. General limitations and implications for emotion research are noted and future directions for stimulus generation are outlined. (shrink)