ABSTRACTCrying is often considered to be a positive experience that benefits the crier, yet there is little empirical evidence to support this. Indeed, it seems that people hold a range of appraisals about their crying, and these are likely to influence the effects of crying on their emotional state. This paper reports on the development and psychometric validation of the Beliefs about Crying Scale, a new measure assessing beliefs about whether crying leads to positive or negative emotional outcomes in individual (...) and interpersonal contexts. Using 40 preliminary items drawn from a qualitative study, an exploratory factor analysis with 202 participants yielded three subscales: Helpful Beliefs, Unhelpful-Individual Beliefs, and Unhelpful-Social Beliefs, explaining 60% of the variance in the data. Confirmatory factor analysis on the 14-item scale with 210 participants showed a good fit to the three factors. The subscales showed differential... (shrink)

We provide a short review on the recent and near-future developments of computational processing of emotion in the voice, highlighting self-learning of representations moving continuously away from traditional expert-crafted or brute-forced feature representations to end-to-end learning, a movement towards the coupling of analysis and synthesis of emotional voices to foster better mutual understanding, weakly supervised learning at a large scale, transfer learning from related domains such as speech recognition or cross-modal transfer learning, and reinforced learning through interactive applications at a (...) large scale. For each of these trends, we shortly explain their implications and potential use such as for interpretation in psychological studies and usage in digital health and digital psychology applications. We also discuss further potential development. (shrink)

The conflicting findings from the few studies conducted with regard to gender differences in the recognition of vocal expressions of emotion have left the exact nature of these differences unclear. Several investigators have argued that a comprehensive understanding of gender differences in vocal emotion recognition can only be achieved by replicating these studies while accounting for influential factors such as stimulus type, gender-balanced samples, number of encoders, decoders and emotional categories. This study aimed to account for these factors by investigating (...) whether emotion recognition from vocal expressions differs as a function of both listeners’ and speakers’ gender. A total of N = 290 participants were randomly and equally allocated to two groups. One group listened to words and pseudo-words, while the other group listened to sentences and affect bursts. Participants were asked to categorize the stimuli with respect to the expressed emotions in a fixed-choice response format. Overall, females were more accurate than males when decoding vocal emotions, however, when testing for specific emotions these differences were small in magnitude. Speakers’ gender had a significant impact on how listeners’ judged emotions from the voice. The group listening to words and pseudo-words had higher identification rates for emotions spoken by male than by female actors, whereas in the group listening to sentences and affect bursts the identification rates were higher when emotions were uttered by female than male actors. The mixed pattern for emotion-specific effects, however, indicates that, in the vocal channel, the reliability of emotion judgments is not systematically influenced by speakers’ gender and the related stereotypes of emotional expressivity. Together, these results extend previous findings by showing effects of listeners’ and speakers’ gender on the recognition of vocal emotions. They stress the importance of distinguishing these factors to explain recognition ability in the processing of emotional prosody. (shrink)

This article contributes to research on emotion expression, attributions, and discrete work emotions by developing an observer-focused model to explain the outcomes of crying at work. Our model is focused on crying as a form of emotion expression because crying may be driven by different felt emotions or be used as a means of manipulation. In addition, the model focuses on observers, who must form perceptions of the emotion expression in order to determine an appropriate response. This model is particularly (...) valuable because it addresses the reality that an observer will develop an impression of another person’s emotion and intention, and that this impression may not always align with the reality of the emotion being experienced by the expresser. (shrink)