The composition of friendship networks predicts emotional fit among Turkish Belgian adolescents.

OBJECTIVES: Emotions of immigrant-origin individuals tend to resemble those of their social environment. This study examined how social networks of Turkish-origin minority adolescents, based on both majority and coethnic minority friendships (composition and structure), have bearing on their emotional fit with Belgian-majority and Turkish-minority cultures. METHOD: Turkish-origin minority adolescents (N = 668) and Belgian-majority adolescents (N = 1,657) nominated their best friends from their class and reported their emotional experiences. RESULTS: Turkish-minority adolescents with more majority friends in their networks had higher emotional fit with the majority culture without compromising their fit with the minority culture. Conversely, a higher proportion of coethnic friends in their networks was associated with lower emotional fit with the majority culture. Network density among majority or coethnic friends was unrelated to emotional fit with either culture. CONCLUSIONS: Having more majority than minority friends positively relates to emotional fit with the majority culture without negatively affecting their fit with the minority culture. These findings further support the idea that cultural emotion norms can both shape or be shaped by close relationships, particularly with friends during adolescence. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A theory-informed emotion regulation variability index: Bray-Curtis dissimilarity.

Emotion regulation (ER) variability refers to how individuals vary their use of ER strategies across time. It helps individuals to meet contextual needs, underscoring its importance in well-being. The theoretical foundation of ER variability recognizes two constituent processes: strategy switching (e.g., moving from distraction to social sharing) and endorsement change (e.g., decreasing the intensity of both distraction and social sharing). ER variability is commonly operationalized as the SD between strategies per observation (between-strategy SD) or within a strategy across time (within-strategy SD). In this article, we show that these SD-based approaches cannot sufficiently capture strategy switching and endorsement change, leading to ER variability indices with poor validity. We propose Bray-Curtis dissimilarity, a measure used in ecology to quantify biodiversity variability, as a theory-informed ER variability index. First, we demonstrate how Bray-Curtis dissimilarity is more sensitive than SD-based approaches in detecting ER variability through two simulation studies. Second, assuming that higher ER variability is adaptive in daily life, we test the relation between ER variability and negative affect in three experience sampling method data sets (total N = [70, 95, 200], number of moment-level observations = [5,040, 6,329, 14,098]). At both the moment level and person level, higher Bray-Curtis dissimilarity predicted lower negative affect more consistently than SD-based indices. We conclude that Bray-Curtis dissimilarity may better capture moment-level within-person ER variability and could have implications for studying variability in other multivariate dynamic processes. The article is accompanied by an R tutorial and practical recommendations for using Bray-Curtis dissimilarity with experience sampling method data. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

What We Can Learn About Emotion by Talking With the Hadza.

Emotions are often thought of as internal mental states centering on individuals' subjective feelings and evaluations. This understanding is consistent with studies of emotion narratives, or the descriptions people give for experienced events that they regard as emotions. Yet these studies, and contemporary psychology more generally, often rely on observations of educated Europeans and European Americans, constraining psychological theory and methods. In this article, we present observations from an inductive, qualitative analysis of interviews conducted with the Hadza, a community of small-scale hunter-gatherers in Tanzania, and juxtapose them with a set of interviews conducted with Americans from North Carolina. Although North Carolina event descriptions largely conformed to the assumptions of eurocentric psychological theory, Hadza descriptions foregrounded action and bodily sensations, the physical environment, immediate needs, and the experiences of social others. These observations suggest that subjective feelings and internal mental states may not be the organizing principle of emotion the world around. Qualitative analysis of emotion narratives from outside of a U.S. (and western) cultural context has the potential to uncover additional diversity in meaning-making, offering a descriptive foundation on which to build a more robust and inclusive science of emotion.

Multimodal, Idiographic Ambulatory Sensing Will Transform our Understanding of Emotion.

Emotions are inherently complex - situated inside the brain while being influenced by conditions inside the body and outside in the world - resulting in substantial variation in experience. Most studies, however, are not designed to sufficiently sample this variation. In this paper, we discuss what could be discovered if emotion were systematically studied within persons 'in the wild', using biologically-triggered experience sampling: a multimodal and deeply idiographic approach to ambulatory sensing that links body and mind across contexts and over time. We outline the rationale for this approach, discuss challenges to its implementation and widespread adoption, and set out opportunities for innovation afforded by emerging technologies. Implementing these innovations will enrich method and theory at the frontier of affective science, propelling the contextually situated study of emotion into the future.

Emotional Granularity is Associated with Daily Experiential Diversity.

Emotional granularity is the ability to create differentiated and nuanced emotional experiences and is associated with positive health outcomes. Individual differences in granularity are hypothesized to reflect differences in emotion concepts, which are informed by prior experience and impact current and future experience. Greater variation in experience, then, should be related to the rich and diverse emotion concepts that support higher granularity. Using natural language processing methods, we analyzed descriptions of everyday events to estimate the diversity of contexts and activities encountered by participants. Across three studies varying in language (English, Dutch) and modality (written, spoken), we found that participants who referred to a more varied and balanced set of contexts and activities reported more differentiated and nuanced negative emotions. Experiential diversity was not consistently associated with granularity for positive emotions. We discuss the contents of daily life as a potential source and outcome of individual differences in emotion. Supplementary Information: The online version contains supplementary material available at 10.1007/s42761-023-00185-2.

Heightened fearfulness in infants is not adaptive.

Grossmann proposes the "fearful ape hypothesis," suggesting that heightened fearfulness in early life is evolutionarily adaptive. We question this claim with evidence that (1) perceived fearfulness in children is associated with negative, not positive long-term outcomes; (2) caregivers are responsive to all affective behaviors, not just those perceived as fearful; and (3) caregiver responsiveness serves to reduce perceived fearfulness.

Beyond Linguistic Relativity, Emotion Concepts Illustrate How Meaning is Contextually and Individually Variable.

Kemmerer describes grounded accounts of cognition and, using crosslinguistic diversity across conceptual domains, argues that these accounts entail linguistic relativity. In this comment, I extend Kemmerer's position to the domain of emotion. Emotion concepts exemplify characteristics highlighted by grounded accounts of cognition and differ by culture and language. Recent research further demonstrates considerable situation- and person-specific differences. Based on this evidence, I argue that emotion concepts carry unique implications for variation in meaning and experience, entailing a relativity that is contextual and individual in addition to linguistic. I conclude by considering what such pervasive relativity means for interpersonal understanding.

Erratum: Publisher Correction: Assessing the Power of Words to Facilitate Emotion Category Learning.

[This corrects the article DOI: 10.1007/s42761-021-00084-4.].

Assessing the Power of Words to Facilitate Emotion Category Learning.

Previous research suggests that labels shape the categorization of emotional stimuli such as facial configurations, yet the strongest evidence of labels' influence on category learning comes from work on object categories. In particular, Lupyan et al. (Psychol Sci 18(12):1077-1083, 2007) found that novel categories of aliens were learned faster by participants provided with nonsense labels during feedback. We summarize a series of five studies in which we examined whether this word-enhancement effect on learning would extend to novel categories of emotion. These studies were conceptual replications of the paradigm used by Lupyan et al. (Psychol Sci 18(12):1077-1083, 2007) designed so that participants would associate novel expressive behaviors with situated experiences. We hypothesized that participants would learn to categorize exemplars of novel emotion categories over the duration of the task, and that categorization would be facilitated for participants who were presented with category labels during learning. We simultaneously analyzed data from all five studies in an integrative data analysis, allowing us to test the effects of learning over time and label condition with increased statistical power. Across all five studies, we found that, while participant performance did improve over time, in no case was it facilitated by including emotion labels at feedback. These results join others in suggesting that the effect of labels on emotion categorization may be more context-dependent than previously supposed-varying by the type of category learning task as well as the specific categories being learned and their relationship to previously acquired knowledge-such that there may be multiple pathways for emotion category learning. Supplementary Information: The online version contains supplementary material available at 10.1007/s42761-021-00084-4.

Professional actors demonstrate variability, not stereotypical expressions, when portraying emotional states in photographs.

It is long hypothesized that there is a reliable, specific mapping between certain emotional states and the facial movements that express those states. This hypothesis is often tested by asking untrained participants to pose the facial movements they believe they use to express emotions during generic scenarios. Here, we test this hypothesis using, as stimuli, photographs of facial configurations posed by professional actors in response to contextually-rich scenarios. The scenarios portrayed in the photographs were rated by a convenience sample of participants for the extent to which they evoked an instance of 13 emotion categories, and actors' facial poses were coded for their specific movements. Both unsupervised and supervised machine learning find that in these photographs, the actors portrayed emotional states with variable facial configurations; instances of only three emotion categories (fear, happiness, and surprise) were portrayed with moderate reliability and specificity. The photographs were separately rated by another sample of participants for the extent to which they portrayed an instance of the 13 emotion categories; they were rated when presented alone and when presented with their associated scenarios, revealing that emotion inferences by participants also vary in a context-sensitive manner. Together, these findings suggest that facial movements and perceptions of emotion vary by situation and transcend stereotypes of emotional expressions. Future research may build on these findings by incorporating dynamic stimuli rather than photographs and studying a broader range of cultural contexts.

Emotional Granularity Increases With Intensive Ambulatory Assessment: Methodological and Individual Factors Influence How Much.

Individuals differ in their ability to create instances of emotion that are precise and context-specific. This skill - referred to as emotional granularity or emotion differentiation - is associated with positive mental health outcomes. To date, however, little work has examined whether and how emotional granularity might be increased. Emotional granularity is typically measured using data from experience sampling studies, in which participants are prompted to report on their emotional experiences multiple times per day, across multiple days. This measurement approach allows researchers to examine patterns of responses over time using real-world events. Recent work suggests that experience sampling itself may facilitate increases in emotional granularity in depressed individuals, such that it may serve both empirical and interventional functions. We replicated and extended these findings in healthy adults, using data from an intensive ambulatory assessment study including experience sampling, peripheral physiological monitoring, and end-of-day diaries. We also identified factors that might distinguish individuals who showed larger increases over the course of experience sampling and examined the extent of the impact of these factors. We found that increases in emotional granularity over time were facilitated by methodological factors, such as number of experience sampling prompts responded to per day, as well as individual factors, such as resting respiratory sinus arrhythmia. These results provide support for the use of experience sampling methods to improve emotional granularity, raise questions about the boundary conditions of this effect, and have implications for the conceptualization of emotional granularity and its relationship with emotional health.

Investigating the relationship between emotional granularity and cardiorespiratory physiological activity in daily life.

Emotional granularity describes the ability to create emotional experiences that are precise and context-specific. Despite growing evidence of a link between emotional granularity and mental health, the physiological correlates of granularity have been under-investigated. This study explored the relationship between granularity and cardiorespiratory physiological activity in everyday life, with particular reference to the role of respiratory sinus arrhythmia (RSA), an estimate of vagal influence on the heart often associated with positive mental and physical health outcomes. Participants completed a physiologically triggered experience-sampling protocol including ambulatory recording of electrocardiogram, impedance cardiogram, movement, and posture. At each prompt, participants generated emotion labels to describe their current experience. In an end-of-day survey, participants elaborated on each prompt by rating the intensity of their experience on a standard set of emotion adjectives. Consistent with our hypotheses, individuals with higher granularity exhibited a larger number of distinct patterns of physiological activity during seated rest, and more situationally precise patterns of activity during emotional events: granularity was positively correlated with the number of clusters of cardiorespiratory physiological activity discovered in seated rest data, as well as with the performance of classifiers trained on event-related changes in physiological activity. Granularity was also positively associated with RSA during seated rest periods, although this relationship did not reach significance in this sample. These findings are consistent with constructionist accounts of emotion that propose concepts as a key mechanism underlying individual differences in emotional experience, physiological regulation, and physical health.

Introducing a Face Sort Paradigm to Evaluate Age Differences in Emotion Perception.

OBJECTIVES: Previous research has uncovered age-related differences in emotion perception. To date, studies have relied heavily on forced-choice methods that stipulate possible responses. These constrained methods limit discovery of variation in emotion perception, which may be due to subtle differences in underlying concepts for emotion. METHOD: We employed a face sort paradigm in which young (N = 42) and older adult (N = 43) participants were given 120 photographs portraying six target emotions (anger, disgust, fear, happiness, sadness, and neutral) and were instructed to create and label piles, such that individuals in each pile were feeling the same way. RESULTS: There were no age differences in number of piles created, nor in how well labels mapped onto the target emotion categories. However, older adults demonstrated lower consistency in sorting, such that fewer photographs in a given pile belonged to the same target emotion category. At the same time, older adults labeled piles using emotion words that were acquired later in development, and thus are considered more semantically complex. DISCUSSION: These findings partially support the hypothesis that older adults' concepts for emotions and emotional expressions are more complex than those of young adults, demonstrate the utility of incorporating less constrained experimental methods into the investigation of age-related differences in emotion perception, and are consistent with existing evidence of increased cognitive and emotional complexity in adulthood.

Expertise in emotion: A scoping review and unifying framework for individual differences in the mental representation of emotional experience.

Expertise refers to outstanding skill or ability in a particular domain. In the domain of emotion, expertise refers to the observation that some people are better at a range of competencies related to understanding and experiencing emotions, and these competencies may help them lead healthier lives. These individual differences are represented by multiple constructs including emotional awareness, emotional clarity, emotional complexity, emotional granularity, and emotional intelligence. These constructs derive from different theoretical perspectives, highlight different competencies, and are operationalized and measured in different ways. The full set of relationships between these constructs has not yet been considered, hindering scientific progress and the translation of findings to aid mental and physical well-being. In this article, we use a scoping review procedure to integrate these constructs within a shared conceptual space. Scoping reviews provide a principled means of synthesizing large and diverse literature in a transparent fashion, enabling the identification of similarities as well as gaps and inconsistencies across constructs. Using domain-general accounts of expertise as a guide, we build a unifying framework for expertise in emotion and apply this to constructs that describe how people understand and experience their own emotions. Our approach offers opportunities to identify potential mechanisms of expertise in emotion, encouraging future research on those mechanisms and on educational or clinical interventions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The N400 indexes acquisition of novel emotion concepts via conceptual combination.

The ability to learn new emotion concepts is adaptive and socially valuable as it communicates culturally held understandings about values, goals, and experiences. Yet, little work has examined the underlying mechanisms that allow for new emotion concepts and words to be integrated into the conceptual system. One such mechanism may be conceptual combination, or the ability to form novel concepts by dynamically combining previously acquired conceptual knowledge. In this study, we used event-related potentials (ERPs) to investigate the electrophysiological correlates of novel emotion concept acquisition via conceptual combination. Participants were briefly trained on 30 novel emotion combinations, each consisting of two English emotion words (the components; e.g., "sadness + fatigue") and a pseudoword (the target; e.g., "despip"). Participants then completed a semantic congruency task while ERPs were recorded. On each trial, two components were presented serially, followed by a target; participants judged whether the target was a valid combination of the preceding components. Targets could be correct or incorrect trained pseudowords, or new untrained pseudowords. Furthermore, components could be presented in reversed order (e.g., "fatigue" then "sadness") or as synonyms (e.g., "exhaustion" for "fatigue"). Consistent with our main hypotheses, we found a main effect of target, such that the correct combinations showed reduced N400 amplitudes when compared to both incorrect and untrained pseudowords. Critically, this effect held regardless of how the preceding components were presented, suggesting deeper semantic learning. These results extend prior findings on conceptual combination and novel word learning, and are congruent with predictive processing accounts of brain function.

Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience.

Machine learning methods provide powerful tools to map physical measurements to scientific categories. But are such methods suitable for discovering the ground truth about psychological categories? We use the science of emotion as a test case to explore this question. In studies of emotion, researchers use supervised classifiers, guided by emotion labels, to attempt to discover biomarkers in the brain or body for the corresponding emotion categories. This practice relies on the assumption that the labels refer to objective categories that can be discovered. Here, we critically examine this approach across three distinct datasets collected during emotional episodes-measuring the human brain, body, and subjective experience-and compare supervised classification solutions with those from unsupervised clustering in which no labels are assigned to the data. We conclude with a set of recommendations to guide researchers towards meaningful, data-driven discoveries in the science of emotion and beyond.

Context-aware experience sampling reveals the scale of variation in affective experience.

Emotion research typically searches for consistency and specificity in physiological activity across instances of an emotion category, such as anger or fear, yet studies to date have observed more variation than expected. In the present study, we adopt an alternative approach, searching inductively for structure within variation, both within and across participants. Following a novel, physiologically-triggered experience sampling procedure, participants' self-reports and peripheral physiological activity were recorded when substantial changes in cardiac activity occurred in the absence of movement. Unsupervised clustering analyses revealed variability in the number and nature of patterns of physiological activity that recurred within individuals, as well as in the affect ratings and emotion labels associated with each pattern. There were also broad patterns that recurred across individuals. These findings support a constructionist account of emotion which, drawing on Darwin, proposes that emotion categories are populations of variable instances tied to situation-specific needs.

Emotion Perception in Hadza Hunter-Gatherers.

It has long been claimed that certain configurations of facial movements are universally recognized as emotional expressions because they evolved to signal emotional information in situations that posed fitness challenges for our hunting and gathering hominin ancestors. Experiments from the last decade have called this particular evolutionary hypothesis into doubt by studying emotion perception in a wider sample of small-scale societies with discovery-based research methods. We replicate these newer findings in the Hadza of Northern Tanzania; the Hadza are semi-nomadic hunters and gatherers who live in tight-knit social units and collect wild foods for a large portion of their diet, making them a particularly relevant population for testing evolutionary hypotheses about emotion. Across two studies, we found little evidence of universal emotion perception. Rather, our findings are consistent with the hypothesis that people infer emotional meaning in facial movements using emotion knowledge embrained by cultural learning.