Although convergence in emotion expressions within small groups is well documented, the motives that explain why members converge are rarely explicated. We approach expressive convergence from a conformity perspective and introduce the Emotional Conformity Framework, in which we posit that members match their groupmates’ emotion expressions because they are motivated to gain an accurate understanding of reality (informational conformity motive) or to form and maintain social relationships (normative conformity motive). These motives determine members’ standards for correctness, social responses, and plausible (...) convergence mechanisms, while members’ personalities and situational properties shape the relative strength of the two motives. By explicating these motivational underpinnings, the Framework improves our capacity to understand, predict, and regulate expressive convergence and emphasizes its functionality. (shrink)

Emotions have traditionally been viewed as intrapersonal phenomena. Over the past decades, theory and research have shifted toward a more social perspective that emphasizes the role of emotional ex...

Research on facial emotion expression has mostly focused on emotion recognition, assuming that a small number of discrete emotions is elicited and expressed via prototypical facial muscle configurations as captured in still photographs. These are expected to be recognized by observers, presumably via template matching. In contrast, appraisal theories of emotion propose a more dynamic approach, suggesting that specific elements of facial expressions are directly produced by the result of certain appraisals and predicting the facial patterns to be expected for (...) certain appraisal configurations. This approach has recently been extended to emotion perception, claiming that observers first infer individual appraisals and only then make categorical emotion judgments based on the estimated appraisal patterns, using semantic inference rules. Here we report two related studies to empirically investigate the facial action unit configurations that are used by actors to convey specific emotions in short affect bursts and to examine to what extent observers can infer a person’s emotions from the predicted facial expression configurations. The results show that 1) professional actors use many of the predicted facial action unit patterns to enact systematically specified appraisal outcomes in a realistic scenario setting, and 2) naïve observers infer the respective emotions based on highly similar facial movement configurations with a degree of accuracy comparable to earlier research findings. Based on estimates of underlying appraisal criteria for the different emotions we conclude that the patterns of facial action units identified in this research correspond largely to prior predictions and encourage further research on appraisal-driven expression and inference. (shrink)