The paper critically reconstructs the crowd psychological heritage in phenomenological and social science emotion research. It shows how the founding figures of phenomenology and sociology uncritically adopted Le Bon’s crowd psychological imagery as well as what I suggest calling the disease model of emotion transfer. Against this background, it can be examined how Le Bon’s understanding of emotional contagion as an automatic, involuntary, and uncontrollable mechanism has remained a dominant force in emotion research until today. However, a closer look at (...) phenomenological descriptions and empirical investigations of how emotion’s spread shows that there is little evidence supporting Le Bon’s crowd psychological framework. Thus, I suggest that the disease model should be dismissed in favor of more plausible approaches to interpersonal emotion dynamics. (shrink)

Although results of many psychology studies have shown that sharing emotion achieves dyadic interaction, no report has explained a study of the transmission of authentic information from emotional expressions that can strengthen perceivers. For this study, we used computational modeling, which is a multinomial processing tree, for formal quantification of the process of sharing emotion that emphasizes the perception of authentic information for expressers’ feeling states from facial expressions. Results indicated that the ability to perceive authentic information of feeling states (...) from a happy expression has a higher probability than the probability of judging authentic information from anger expressions. Next, happy facial expressions can activate both emotional elicitation and sharing emotion in perceivers, where emotional elicitation alone is working rather than sharing emotion for angry facial expressions. Third, parameters to detect anger experiences were found to be correlated positively with those of happiness. No robust correlation was found between the parameters extracted from this experiment task and questionnaire-measured emotional contagion, empathy, and social anxiety. Results of this study revealed the possibility that a new computational approach contributes to description of emotion sharing processes. (shrink)