Rainer Reisenzein

Toward a Process Analysis of Emotions: The Case of Surprise

Based on an earlier model of the processes elicited by surprising events, the present studies provide evidence for one of these processes, the evaluation of the surprising events relevance for ongoing activities (action-relevance check). The central prediction tested was that, if unexpected events elicit among other processes an action-relevance check, then response delay on a concurrent task will be more pronounced in a condition where this process is more elaborate and hence takes more time. In accord with this prediction, Experiment 1 found that an unexpected appearance change of the imperative stimulus in a choice reaction time (RT) task caused greater response delay than an equivalent appearance change of a distractor stimulus. Experiment 2 replicated this finding and tested several additional predictions that concerned the effects on response delay of a second appearance change of either the imperative or the distractor stimuli. These predictions, which were also mostly confirmed, were derived by combining the logic underlying the first study with the assumption that once made, appraisals of unexpected events are stored as part of the situational schema and are reused when the same or similar events reoccur leading to an abbreviation of appraisal processes. Experiment 3 once more replicated the basic finding of the previous studies and ruled out a possible alternative explanation. It is suggested that the proposed RT method of process verification may be of broader interest as a tool to study appraisal processes in emotion.

A Structural Equation Analysis of Weiner's Attribution-Affect Model of Helping Behavior

In this study. Weiners (1980a. I980b) altributional model of helping behavior, which holds that the effect of causal attributions of anothers need on helping is mediated by the affective reactions of sympathy and anger, was analyzed via latent-variable structural modeling techniques. Weiners model was initially tested in the context of a hypothetical subway emergency situation, and several controversial aspects of the model were clarified through a series of hierarchical model comparisons. The refined model resulting from these analyses was subsequently cross-validated with data from a different helping situation, which involved a students request to borrow class notes. The findings are interpreted as being supportive of the attributional model of helping behavior proposed by Weiner and. more generally, as documenting the range of convenience of an attributional approach to social motivation. In addition, they attest to the potential power of latent-variab le structural modeling as applied to experimental data.

Exploring the Strength of Association between the Components of Emotion Syndromes: The Case of Surprise

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.

Effects of Mood on Evaluative Judgements: Influence of Reduced Processing Capacity and Mood Salience

Schwarz and Clore (1983) proposed that the effects of mood on evaluative judgements are due to peoples use of a “feeling heuristic”. Results of the present study suggest that this heuristic is particularly likely to be used under conditions of reduced processing capacity, induced by time pressure and competing task demands, as both factors intensified the effects of mood on evaluative judgements. In addition, previous findings that increasing the salience of a judgement-irrelevant cause disrupts the effects of mood on evaluative judgements were replicated. All of these effects were, however, obtained only when mood was salient to the participants, suggesting that to be effective, mood must exceed a threshold of salience. Taken together, the findings further support the hypothesis that at least in some situations, the effects of moods on evaluative judgements are based on a controlled inference strategy, rather than on automatic priming effects.

Evidence for strong dissociation between emotion and facial displays: The case of surprise.

Eight experiments examined facial expressions of surprise in adults. Surprise was induced by disconfirming a previously established schema or expectancy. Self-reports and behavioral measures indicated the presence of surprise in most participants, but surprise expressions were observed only in 4%-25%, and most displays consisted of eyebrow raising only; the full, 3-component display was never seen. Experimental variations of surprise intensity, sociality, and duration/complexity of the surprising event did not change these results. Electromyographic measurement failed to detect notably more brow raisings and, in one study, revealed a decrease of frontalis muscle activity in the majority of the participants. Nonetheless, most participants believed that they had shown a strong surprise expression.

The Role of Surprise in the Attribution Process

Abstract We report five studies which compared two theories linking surprise to causal attribution. According to the attributional model, surprise is frequently caused by luck attributions, whereas according to the expectancy-disconfirmation model, surprise is caused by expectancy disconfirmation and stimulates causal thinking. Studies 1 to 3 focused on the question of whether surprise is caused by luck attributions or by unexpectedness. In Studies 1 and 2, subjects had to recall success or failure experiences characterised by a particular attribution (Study 1) or by low versus high surprisingness (Study 2), whereas in Study 3, unexpectedness and luck versus skill attributions were independently manipulated within a realistic setting. The main dependent variables were unexpectedness (Studies 1 and 2), degree of surprise (Studies 1 and 3), and causal attributions (Study 2). The results strongly suggest that surprise is caused by expectancy disconfirmation, whereas luck attributions are neither sufficient n...

Emotions as metarepresentational states of mind: Naturalizing the belief-desire theory of emotion

Describes the outlines of a computational explication of the belief-desire theory of emotion, a variant of cognitive emotion theory. According to the proposed explication, a core subset of emotions including surprise are nonconceptual products of hardwired mechanisms whose primary function is to subserve the monitoring and updating of the central representational system of humans, the belief-desire system. The posited emotion-producing mechanisms are analogous to sensory transducers; however, instead of sensing the world, they sense the state of the belief-desire system and signal important changes in this system, in particular the fulfillment and frustration of desires and the confirmation and disconfirmation of beliefs. Because emotions represent this information about the state of the representational system in a nonconceptual format, emotions are nonconceptual metarepresentations. It is argued that this theory of emotions provides for a deepened understanding of the role of emotions in cognitive systems and solves several problems of psychological emotion theory.

Experiencing activation: energetic arousal and tense arousal are not mixtures of valence and activation.

R. E. Thayer (1989) proposed 2 types of activation: energetic arousal (awake-tired) and tense arousal (tense-calm). This view has been challenged by claims that energetic arousal and tense arousal are mixtures of valence and a single activation dimension. The authors present a direct test of this hypothesis by computing the correlation between the residuals of energetic arousal and tense arousal after removing the shared variance with valence. Whereas the valence activation hypothesis predicts a strong positive correlation between the 2 residuals, the authors found that it was not significantly different from 0. This finding reaffirms the view of energetic arousal and tense arousal as 2 distinct types of activation.

Coherence between Emotion and Facial Expression: Evidence from Laboratory Experiments:

Evidence on the coherence between emotion and facial expression in adults from laboratory experiments is reviewed. High coherence has been found in several studies between amusement and smiling; low to moderate coherence between other positive emotions and smiling. The available evidence for surprise and disgust suggests that these emotions are accompanied by their “traditional” facial expressions, and even components of these expressions, only in a minority of cases. Evidence concerning sadness, anger, and fear is very limited. For sadness, one study suggests that high emotion–expression coherence may exist in specific situations, whereas for anger and fear, the evidence points to low coherence. Insufficient emotion intensity and inhibition of facial expressions seem unable to account for the observed dissociations between emotion and facial expression.

Computational Modeling of Emotion: Toward Improving the Inter- and Intradisciplinary Exchange

The past years have seen increasing cooperation between psychology and computer science in the field of computational modeling of emotion. However, to realize its potential, the exchange between the two disciplines, as well as the intradisciplinary coordination, should be further improved. We make three proposals for how this could be achieved. The proposals refer to: 1) systematizing and classifying the assumptions of psychological emotion theories; 2) formalizing emotion theories in implementation-independent formal languages (set theory, agent logics); and 3) modeling emotions using general cognitive architectures (such as Soar and ACT-R), general agent architectures (such as the BDI architecture) or general-purpose affective agent architectures. These proposals share two overarching themes. The first is a proposal for modularization: deconstruct emotion theories into basic assumptions; modularize architectures. The second is a proposal for unification and standardization: Translate different emotion theories into a common informal conceptual system or a formal language, or implement them in a common architecture.