What psychological mechanisms enable people to reappraise a situation to change its emotional impact? We propose that reappraisal works by shifting appraisal outcomes—abstract representations of ho...

Reappraisal is a frequently used and often successful emotion regulation strategy. However, its underlying cognitive mechanisms are not well understood. In this paper, we seek to clarify these mechanisms by expanding upon our recently proposed reAppraisal framework. According to this framework, reappraisal consists of appraisal shifts that arise from changes to the mental construal of a situation (reconstrual) or from changes to the goals that are used to evaluate the construal (repurposing). Here we propose that reappraisal can target both object-level (...) construals and goals representing states in the environment as well as meta-level construals and goals about different states in the mind. We also propose that reappraisal can operate by facilitating decommitment from a dominant construal or goal as well as by facilitating commitment to alternative construals or goals. We demonstrate that the 2 × 2 × 2 matrix formed by crossing the three distinctions between reconstrual and repurposing, between object-level and meta-level representations, and between decommitment and commitment operations forms a useful map of different reappraisal tactics. We draw examples of each of the 8 reappraisal tactics from basic and clinical research. We conclude by considering future research inspired by the expanded reAppraisal framework. (shrink)

Advances in our understanding of appraisal processes and emotion regulation have been two of the most important contributions of research on cognition and emotion in recent decades. Interestingly, however, progress in these two areas has been less mutually informative than one might expect or desire. To help remedy this situation, we provide an integration of appraisal theory and the process model of emotion regulation by describing parallel, interacting and iterative systems for emotion generation and emotion regulation. Outputs of the emotion (...) generation system are perceived by the emotion regulation system, and emotion regulation strategies then modulate emotion by intervening at specific stages of the emotion generation system, ultimately changing appraisal dimensions. We hope that our unified perspective will encourage and guide future research at the interface of cognition and emotion. (shrink)

Affective effects on breadth of attention have been related to aspects of different components of affective states such as the arousal and valence of affective experience and the motivational intensity of action tendency. As none of these explanations fully aligns with existing evidence, we hypothesised that affective effects on breadth of attention may arise from the appraisal component of affective states. Based on this reconceptualisation, we tested the effects of conduciveness and power appraisals on two measures of breadth of attention. (...) In two web-based experiments, we manipulated these appraisals in a 2 × 2 design using a game-like arithmetic task where participants could (1) gain or lose rewards (goal conducive vs. obstructive) based on (2) either their action or the actions of a “robot” (high vs. low power). Breadth of attention was assessed using the flanker task (Experiment 1; n = 236) and the Navon task (Experiment 2; n = 215). We found that appraisals did not directly influence breadth of attention even though high power appraisal significantly improved the overall performance in both experiments indicating successful appraisal manipulation. We discuss ways in which these findings inform future efforts to explain the origins of affective effects on attentional breadth. (shrink)

We applaud Gasper for reviewing five approaches to operationalizing neutral states. To supplement Gasper’s important contribution, we express the five neutral conditions at the appraisal lev...

Emotional states are believed to broaden or to narrow the focus of attention. However, numerous inconsistent findings call for renewed efforts to understand the conditions under which such effects occur. We conducted a pair of high-powered web experiments. Emotional states were manipulated across valence categories and appraisal dimensions using autobiographical recall (Experiment 1) and emotional images (Experiment 2). Breadth of attention was assessed using the Navon task coupled with induction sensitivity and mouse tracking analyses. We did not find robust evidence (...) for emotional effects on breadth of attention. Negative images led surprisingly to slightly broader attention in Experiment 2, but this may reflect the slow release of cognitive resources from preceding negative stimuli amplifying the global precedence effect. Breadth of attention also had very small positive relationships with goal-congruence appraisal in the first and control appraisal in the second experiment. We also found no evidence for moderation by mood or personality. Taken together, our findings add to the growing list of failures to observe emotional modulation of breadth of attention and call for continued efforts to chart the boundary conditions of these effects. (shrink)

Stimuli such as surprised faces are ambiguous in that they are associated with both positive and negative outcomes. Interestingly, people differ reliably in whether they evaluate these and other ambiguous stimuli as positive or negative, and we have argued that a positive evaluation relies in part on a biasing of the appraisal processes via reappraisal. To further test this idea, we conducted two studies to evaluate whether increasing the cognitive accessibility of reappraisal through a brief emotion regulation task would lead (...) to an increase in positive evaluations of ambiguity. Supporting this prediction, we demonstrated that cuing reappraisal, but not in three other forms of emotion regulation (Study 1a-d; n = 120), increased positive evaluations of ambiguous faces. In a sign of robustness, we also found that the effect of reappraisal generalised from ambiguous faces to ambiguous scenes (Study 2; n = 34). Collectively, these findings suggest that reappraisal may play a key role in determining responses to ambiguous stimuli. We discuss these findings in the context of affective flexibility, and suggest that valence bias (i.e. the tendency to evaluate ambiguity more positively or negatively) represents a novel approach to measuring implicit emotion regulation. (shrink)

In the present study we asked whether it is possible to decode personality traits from resting state EEG data. EEG was recorded from a large sample of subjects (n=289) who had answered questionnaires measuring personality trait scores of the 5 dimensions as well as the 10 subordinate aspects of the Big Five. Machine learning algorithms were used to build a classifier to predict each personality trait from power spectra of the resting state EEG data. The results indicate that the five (...) dimensions as well as their subordinate aspects could not be predicted from the resting state EEG data. Finally, to demonstrate that this result is not due to systematic algorithmic or implementation mistakes the same methods were used to successfully classify whether the subject had eyes open or closed. These results indicate that the extraction of personality traits from the power spectra of resting state EEG is extremely noisy, if possible at all. (shrink)

For some American voters, the news of Mr. Trump's victory in the 2016 presidential election caused recurrent emotions that were negative, persistent, and intense enough to elicit repeated attempts...

Decision confidence is a prototypical metacognitive representation that is thought to approximate the probability that a decision is correct. The perception of being correct has also been associated with affective valence such that being correct feels more positive and being mistaken more negative. This suggests that, similarly to confidence, affective valence reflects the probability that a decision is correct. However, both fields of research have seen very little interaction. Here, we test if affect, similarly to confidence reflects probability that a (...) decision is correct in two perceptual decision-making experiments where we compare the relationships of theoretically relevant variables (e.g. evidence, accuracy, and expectancy) with both confidence and affect ratings. The findings indicate that confidence and affect ratings are similarly sensitive to changes in accuracy, evidence, and expectancy, indicating that both track the subjective probability that a decision is correct. We identify various mechanisms that can explain these results. We also envision future research for clarifying the role of cognitive and affective aspects of metacognition relying on deeper integration of the respective research fields. (shrink)