Review

Authors: David J Hughes, Ioannis K Kratsiotis, Karen Niven...

Where do individual differences in emotion regulation come from? This review examines theoretical and empirical evidence describing the role that personality traits play in shaping individuals' intrapersonal and interpersonal regulation styles. We define and delineate personality traits and emotion regulation and summarize empirical relations between them. Specifically, we review research on the Big Five personality traits in relation to each stage of Gross' (2015) extended process model of emotion regulation. In doing so, we document evidence concerning the relationships between personality traits and three key stages of emotion regulation, namely, identification (i.e., choosing which emotions to regulate), selection (i.e., choosing a broad regulatory approach), and implementation (i.e., adopting specific regulatory tactics). Finally, we make recommendations for future research that we hope will guide researchers in building a systematic understanding of how personality traits shape intrapersonal and interpersonal emotion regulation. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Topics: Emotional Regulation; Emotions; Humans; Personality

PubMed: 31961180
DOI: 10.1037/emo0000644

Review

Authors: Elizabeth A Phelps, Joseph E LeDoux

Research on the neural systems underlying emotion in animal models over the past two decades has implicated the amygdala in fear and other emotional processes. This work stimulated interest in pursuing the brain mechanisms of emotion in humans. Here, we review research on the role of the amygdala in emotional processes in both animal models and humans. The review is not exhaustive, but it highlights five major research topics that illustrate parallel roles for the amygdala in humans and other animals, including implicit emotional learning and memory, emotional modulation of memory, emotional influences on attention and perception, emotion and social behavior, and emotion inhibition and regulation.

Topics: Amygdala; Animals; Attention; Behavior; Brain Mapping; Emotions; Fear; Humans; Inhibition, Psychological; Models, Animal; Perception

PubMed: 16242399
DOI: 10.1016/j.neuron.2005.09.025

Review

Authors: J Hogeveen, C Salvi, J Grafman...

'Emotional intelligence' (EI) is one of the most highly used psychological terms in popular nomenclature, yet its construct, divergent, and predictive validities are contentiously debated. Despite this debate, the EI construct is composed of a set of emotional abilities - recognizing emotional states in the self and others, using emotions to guide thought and behavior, understanding how emotions shape behavior, and emotion regulation - that undoubtedly influence important social and personal outcomes. In this review, evidence from human lesion studies is reviewed in order to provide insight into the necessary brain regions for each of these core emotional abilities. Critically, we consider how this neuropsychological evidence might help to guide efforts to define and measure EI.

Topics: Animals; Behavior; Brain; Emotional Intelligence; Emotions; Humans; Interpersonal Relations; Recognition, Psychology

PubMed: 27647325
DOI: 10.1016/j.tins.2016.08.007

Meta-Analysis

Authors: Shigeru Iwakabe, Kaori Nakamura, Nathan C Thoma...

Emotion regulation (ER) refers to the process of modulating an affective experience or response. Objectives: This is a systematic review of the research on therapist methods to facilitate patient ER, including affect-focused, experiential methods that aim to enhance immediate patient emotion regulation, and structured psychoeducation, skills training in ER. A total of 10 studies of immediate and intermediate outcomes of emotion regulation methods were examined. A total of 38 studies were included in the meta-analysis of distal treatment effects on emotion regulation. In eight studies with 84 clients and 33 therapists, we found evidence of positive intermediate outcomes for affect-focused therapist methods and interpretations. A meta-analysis of 26 studies showed that the average effect size of ER methods from pre- to post-treatment was large ( = 0.82). Both affect-focused and structured skill training are associated with distal improvements in emotion regulation. When working with ER in psychotherapy, therapists must consider how patients' cultural backgrounds inform display rules, as well as what might be considered adaptive or maladaptive. The article concludes with training implications and therapeutic practices based on the research evidence.

Topics: Humans; Emotional Regulation; Psychotherapy; Emotions

PubMed: 36943017
DOI: 10.1080/10503307.2023.2183155

Authors: Wataru Sato

Exploring the objective signals associated with subjective emotional states has practical significance [...].

Topics: Emotions; Humans; Biosensing Techniques

PubMed: 39000945
DOI: 10.3390/s24134166

Authors: Lauren A M Lebois, Christine D Wilson-Mendenhall, W Kyle Simmons...

From the perspective of constructivist theories, emotion results from learning assemblies of relevant perceptual, cognitive, interoceptive, and motor processes in specific situations. Across emotional experiences over time, learned assemblies of processes accumulate in memory that later underlie emotional experiences in similar situations. A neuroimaging experiment guided participants to experience (and thus learn) situated forms of emotion, and then assessed whether participants tended to experience situated forms of the emotion later. During the initial learning phase, some participants immersed themselves in vividly imagined fear and anger experiences involving physical harm, whereas other participants immersed themselves in vividly imagined fear and anger experiences involving negative social evaluation. In the subsequent testing phase, both learning groups experienced fear and anger while their neural activity was assessed with functional magnetic resonance imaging (fMRI). A variety of results indicated that the physical and social learning groups incidentally learned different situated forms of a given emotion. Consistent with constructivist theories, these findings suggest that learning plays a central role in emotion, with emotion adapted to the situations in which it is experienced.

Topics: Adult; Anger; Cognition; Emotions; Fear; Female; Humans; Learning; Memory; Middle Aged; Young Adult

PubMed: 29330097
DOI: 10.1016/j.neuropsychologia.2018.01.008

Review

Authors: Derek M Isaacowitz

Older adults report surprisingly positive affective experience. The idea that older adults are better at emotion regulation has emerged as an intuitively appealing explanation for why they report such high levels of affective well-being despite other age-related declines. In this article, I review key theories and current evidence on age differences in the use and effectiveness of emotion-regulation strategies from a range of studies, including laboratory-based and experience sampling. These studies do not yet provide consistent evidence for age differences in emotion regulation and thus do not clearly support the assertion that older adults are better at emotion regulation. However, current approaches may be limited in describing and testing possible age-related changes in emotion regulation. Future work will need to more directly investigate individual trajectories of stability and change in emotion-regulation strategy use and effectiveness over time and also consider the possible roles of context, physiological reactivity, neural changes, acceptance, and personality.

Topics: Humans; Aged; Emotional Regulation; Emotions; Aging; Personality

PubMed: 35605229
DOI: 10.1177/17456916211059819

Authors: Michele R Smith, Katherine Seldin, Liana R Galtieri...

Emotion regulation (ER) is an important factor in resilience and overall well-being throughout development, and youth report increased variation in emotion and capacity for regulation across adolescence and early adulthood. Specific emotions may be associated with the use of different ER strategies, but much evidence exclusively collapses across negative and positive affect or may not reflect the daily experience of emotion and emotion regulation. The present study examined associations between the experience of unique positive and negative emotions and the use of common ER strategies in adolescence and early adulthood during daily life using ecological momentary assessment (EMA). The sample included 184 high school and college students (55% female, = 17.88, = 1.25) who completed EMA surveys three times daily for 10 days (89% compliance). Participants reported on their recent emotional states and which of eight ER strategies they had used. Multilevel logistic regressions tested emotions as predictors of ER strategies, separately for each emotion-ER strategy combination across 96 total models, using the Benjamini-Hochberg procedure to control the false discovery rate. Individuals had higher odds of engaging in maladaptive ER strategies, particularly suppression or rumination, when reporting most types of negative emotions-with the largest associations among unhappiness and anger. Conversely, positive emotions were generally linked to reported use of no ER strategies, though happiness and engagement were related to higher odds of problem-solving, while calm was related to less use of nearly all strategies. Specific emotion-strategy combinations may have implications for clinical targets. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Topics: Adolescent; Humans; Female; Adult; Male; Emotional Regulation; Emotions; Happiness; Surveys and Questionnaires; Anger; Ecological Momentary Assessment

PubMed: 36006696
DOI: 10.1037/emo0001127

Review

Authors: Yujian Cai, Xingguang Li, Jinsong Li...

In recent years, the rapid development of sensors and information technology has made it possible for machines to recognize and analyze human emotions. Emotion recognition is an important research direction in various fields. Human emotions have many manifestations. Therefore, emotion recognition can be realized by analyzing facial expressions, speech, behavior, or physiological signals. These signals are collected by different sensors. Correct recognition of human emotions can promote the development of affective computing. Most existing emotion recognition surveys only focus on a single sensor. Therefore, it is more important to compare different sensors or unimodality and multimodality. In this survey, we collect and review more than 200 papers on emotion recognition by literature research methods. We categorize these papers according to different innovations. These articles mainly focus on the methods and datasets used for emotion recognition with different sensors. This survey also provides application examples and developments in emotion recognition. Furthermore, this survey compares the advantages and disadvantages of different sensors for emotion recognition. The proposed survey can help researchers gain a better understanding of existing emotion recognition systems, thus facilitating the selection of suitable sensors, algorithms, and datasets.

Topics: Humans; Emotions; Algorithms; Recognition, Psychology; Facial Expression; Speech

PubMed: 36904659
DOI: 10.3390/s23052455

Review

Authors: Andrius Dzedzickis, Artūras Kaklauskas, Vytautas Bucinskas...

Automated emotion recognition (AEE) is an important issue in various fields of activities which use human emotional reactions as a signal for marketing, technical equipment, or human-robot interaction. This paper analyzes scientific research and technical papers for sensor use analysis, among various methods implemented or researched. This paper covers a few classes of sensors, using contactless methods as well as contact and skin-penetrating electrodes for human emotion detection and the measurement of their intensity. The results of the analysis performed in this paper present applicable methods for each type of emotion and their intensity and propose their classification. The classification of emotion sensors is presented to reveal area of application and expected outcomes from each method, as well as their limitations. This paper should be relevant for researchers using human emotion evaluation and analysis, when there is a need to choose a proper method for their purposes or to find alternative decisions. Based on the analyzed human emotion recognition sensors and methods, we developed some practical applications for humanizing the Internet of Things (IoT) and affective computing systems.

Topics: Biosensing Techniques; Electrodes; Emotions; Humans; Perception

PubMed: 31973140
DOI: 10.3390/s20030592