Preschoolers' use of dynamic facial, bodily, and vocal cues to emotion

In daily experience, children have access to a variety of cues to others’ emotions, including face, voice, and body posture. Determining which cues they use at which ages will help to reveal how the ability to recognize emotions develops. For happiness, sadness, anger, and fear, preschoolers (3-5 years, N = 144) were asked to label the emotion conveyed by dynamic cues in four cue conditions. The Face-only, Body Posture-only, and Multi-cue (face, body, and voice) conditions all were well recognized (M > 70%). In the Voice-only condition, recognition of sadness was high (72%), but recognition of the three other emotions was significantly lower (34%).     

Whom to help? Immediacy bias in judgments and decisions about humanitarian aid

People exhibit an immediacy bias when making judgments and decisions about humanitarian aid, perceiving as more deserving and donating disproportionately to humanitarian crises that happen to arouse immediate emotion. The immediacy bias produced different serial position effects, contingent on decision timing (Experiment 1). When making allocation decisions directly after viewing to four emotionally evocative films about four different humanitarian crises, participants donated disproportionately more to the final, immediate crisis, in contrast, when making donation decisions sequentially, after viewing each of the four crises, participants donated disproportionately to the immediate crisis. The immediacy bias was associated with “scope neglect,” causing people to take action against relatively less deadly crises (Experiments 2 and 3). The immediacy bias emerged even when participants were warned about emotional manipulation (Experiment 3). The immediacy bias diminished over time, as immediate emotions presumably subsided (Experiment 2). Implications for charitable giving, serial position effects, and the influence of emotion on choice are discussed.     

Implicit and explicit emotional behavior and mindfulness

The objective of this study was to examine whether the “step back and watch” attitude of mindfulness manifests in less emotional behavior. We hypothesized that the “acceptance” facet of mindfulness, but not the “presence” facet, is negatively associated with the magnitude of emotional behavior in four tests, i.e., (1) rating of words, (2) rating of aversive and neutral pictures, and (3) evaluative conditioning (EC). Additionally, we hypothesized that (4) the acceptance facet is associated with increased reaction time (RT) in an emotional Stroop test, and that the presence facet is associated with decreased RT and lower error rate. The sample consisted of N = 247 non-clinical adults and was tested in a cross-sectional study. The results provide partial evidence that the acceptance facet of mindfulness may be associated with less aversive reactions towards aversive stimuli. Future studies should substantiate these findings but also determine their clinical relevance.     

Word associations contribute to machine learning in automatic scoring of degree of emotional tones in dream reports

Scientific study of dreams requires the most objective methods to reliably analyze dream content. In this context, artificial intelligence should prove useful for an automatic and non subjective scoring technique. Past research has utilized word search and emotional affiliation methods, to model and automatically match human judges’ scoring of dream report’s negative emotional tone. The current study added word associations to improve the model’s accuracy. Word associations were established using words’ frequency of co-occurrence with their defining words as found in a dictionary and an encyclopedia. It was hypothesized that this addition would facilitate the machine learning model and improve its predictability beyond those of previous models. With a sample of 458 dreams, this model demonstrated an improvement in accuracy from 59% to 63% (kappa = .485) on the negative emotional tone scale, and for the first time reached an accuracy of 77% (kappa = .520) on the positive scale.     

Systems of Care as Asset-Building Communities: Implementing Strengths-Based Planning and Positive Youth Development

Using a strength-based approach is one of the hallmarks of the system of care (SOC) initiative, and is consistent with the foundations of community psychology. However, while strengths-based planning is recommended and child and family teams often list child and family strengths, the care plans often do not incorporate the strengths in strategies and interventions. The research base regarding strength implementation and effectiveness is summarized, and needed research is outlined. Steps are offered for promoting the use of strengths in SOCS. Implementing programs from the field of positive youth development is advocated as a way that the educational and criminal justice systems could be more actively engaged in implementing strength-based strategies in SOCs. Promoting SOCs to focus more attentively to asset-building (at the child, family, and community level) is compatible with a public health model that addresses mental health concerns in the context of a full range of supports and services so that all children might experience good mental health and realize their potential.     

Distinct emotional abilities converge: Evidence from emotional understanding and emotion recognition through the voice

One key criterion for whether Emotional Intelligence (EI) truly fits the definition of “intelligence” is that individual branches of EI should converge. However, for performance tests that measure actual ability, such convergence has been elusive. Consistent with theoretical perspectives for intelligence, we approach this question using EI measures that have objective standards for right answers. Examining emotion recognition through the voice—that is, the ability to judge an actor’s intended portrayal—and emotional understanding—that is, the ability to understand relationships and transitions among emotions—we find substantial convergence, r = .53. Results provide new data to inform the often heated debate about the validity of EI, and further the basis of optimism that EI may truly be considered intelligence.     

Differing emotional sensitivities in the two factors of personal need for structure

The current project examines dispositional orientations toward positive or negative stimuli based on individual differences in personal need for structure (PNS). Although Neuberg and Newsom (1993) describe PNS as stemming from two sources of simple structure, desire for structure (DFS) and response to lack of structure (RLS), the two subscales are commonly combined. The current study found that high DFS (but not high RLS) was associated with a tendency to create more positive words in a word-fragment-completion task, generate more positive content in a story-completion task, and remember more positive words in a free-recall memory task. High-RLS (but not high-DFS) was associated with the opposite tendency (i.e., oriented toward negatives). Possible revisions to previous conclusions involving PNS are discussed.     

Trait aggression is related to anger-modulated deficits in response inhibition

The goal of the present study was to investigate the role of emotion-modulated response inhibition in individual difference in the disposition towards aggressive behavior (i.e. trait aggression). One hundred and twelve undergraduate participants completed a behavioral measure of emotion modulated response inhibition (an emotional go/no-go task), self-report measures previously shown to predict aggression (Big-5 traits, impulsivity), and the Aggression Questionnaire (AQ) as a measure of trait aggression. Results show that deficient inhibition to angry, but not happy, faces were related to trait aggression but not to other traits. These findings provide support for the role of specific top down executive control mechanisms in the regulation of aggressive tendencies and highlight the importance of examining these mechanisms in an emotional context.     

Neural correlates of written emotion word processing: a review of recent electrophysiological and hemodynamic neuroimaging studies

A growing body of literature investigating the neural correlates of emotion word processing has emerged in recent years. Written words have been shown to represent a suitable means to study emotion processing and most importantly to address the distinct and interactive contributions of the two dimensions of emotion: valence and arousal. The aim of the present review is to integrate findings from electrophysiological (ERP) and hemodynamic neuroimaging (fMRI) studies in order to provide a better understanding of emotion word processing. It provides an up-to-date review of recent ERP studies since the review by Kissler et al. (2006) as well as the first review of hemodynamic brain imaging studies in the field. A discussion of theoretical and methodological issues is also presented, along with suggestions for future research.     

Emotional intelligence, personality and the decoding of non-verbal expressions of emotion

Previous research has highlighted theoretical and empirical links between measures of both personality and trait emotional intelligence (EI), and the ability to decode facial expressions of emotion. Research has also found that the posed, static characteristics of the photographic stimuli used to explore these links affects the decoding process and differentiates them from the natural expressions they represent. This undermines the ecological validity of established trait-emotion decoding relationships.This study addresses these methodological shortcomings by testing relationships between the reliability of participant ratings of dynamic, spontaneously elicited expressions of emotion with personality and trait EI. Fifty participants completed personality and self-report EI questionnaires, and used a computer-logging program to continuously rate change in emotional intensity expressed in video clips. Each clip was rated twice to obtain an intra-rater reliability score. The results provide limited support for links between both trait EI and personality variables and how reliably we decode natural expressions of emotion. Limitations and future directions are discussed.