Affective science最新文献

Affective science has increasingly sought to represent emotional experiences multimodally, measuring affect through a combination of self-report ratings, linguistic output, physiological measures, and/or nonverbal expressions. However, despite widespread recognition that non-facial nonverbal cues are an important facet of expressive behavior, measures of nonverbal expressions commonly focus solely on facial movements. This Commentary represents a call for affective scientists to integrate a larger range of nonverbal cues—including gestures, postures, and vocal cues—alongside facial cues in efforts to represent the experience of emotion and its communication. Using the measurement and analysis of vocal cues as an illustrative case, the Commentary considers challenges, potential solutions, and the theoretical and translational significance of working to integrate multiple nonverbal channels in the study of affect.

Job boredom is one of the most common negative affective states experienced in the workplace, yet also among the least well-understood. One stream of research suggests that employees frequently react to job boredom by engaging in counterproductive work behaviors (CWB). However, recent studies show the converse—that engaging in CWB relates to job boredom. As studies on the job boredom-CWB relationship primarily have been cross-sectional and at the between-person level of analysis, the directionality between these constructs remains in question. Therefore, research examining the within-person dynamics of job boredom and CWB within a short timeframe is needed. In the current study, we explore whether job boredom influences subsequent changes in CWB and vice versa. We examined these relationships using latent change score (LCS) modeling with 10-day experience sampling data (N = 120 individuals providing 1,161 observations). Findings supported a reciprocal relationship. Employees’ level of job boredom on a given day was associated with a subsequent increase in CWB on the next day, and the level of CWB on a given day was associated with a subsequent increase in job boredom on the next day. We discuss the implications of our findings, study limitations, and future research directions.

Emotion dynamics have demonstrated mixed ability to predict depressive symptoms and outperform traditional metrics like the mean and standard deviation of emotion reports. Here, we expand the types of emotion dynamic features used in prior work and apply a machine learning algorithm to predict depression symptoms. We obtained seven ecological momentary assessment (EMA) studies from previous work on depression and emotion dynamics (N = 890). These studies measured self-reported sadness, positive affect, and negative affect 5 to 10 times per day for 7 to 21 days (schedule varied across studies). These data were fed through a feature extraction routine to generate hundreds of emotion dynamic features. A gradient boosting machine (GBM) using all available emotion dynamics features was the best of all models assessed. This model’s out-of-sample prediction (R²_pred) for depression severity ranged from .20 to .44 depending on EMA interpolation method and samples included in the analysis. It also explained significantly more variance than a benchmark model of individuals’ mean emotion ratings over the assessment period, R²_pred = .089. Comprehensive feature mining of emotion dynamics obtained during EMA may be necessary to identify processes that predict depression symptoms beyond mean emotion ratings.

Emotions change from one moment to the next. They have a duration from seconds to hours and then transition to other emotions. Here, we describe the early ontology of these key aspects of emotion dynamics. In five cross-sectional studies (N = 904) combining parent surveys and ecological momentary assessment, we characterize how caregivers’ perceptions of children’s emotion duration and transitions change over the first 5 years of life and how they relate to children’s language development. Across these ages, the duration of children’s emotions increased, and emotion transitions became increasingly organized by valence, such that children were more likely to transition between similarly valenced emotions. Children with more mature emotion profiles also had larger vocabularies and could produce more emotion labels. These findings advance our understanding of emotion and communication by highlighting their intertwined nature in development and by charting how dynamic features of emotion experiences change over the first years of life.

Effective and safe foraging requires animals to behave according to the expectations they have about the rewards, threats, and costs in their environment. Since these factors are thought to be reflected in the animals’ affective states, we can use foraging behavior as a window into those states. In this study, rats completed a foraging task in which they had repeatedly to decide whether to continue to harvest a food source despite increasing time costs, or to forgo food to switch to a different food source. Rats completed this task across two experiments using manipulations designed to induce both positive and negative, and shorter- and longer- term changes in affective state: removal and return of enrichment (Experiment 1), implementation and reversal of an unpredictable housing treatment (Experiment 1), and delivery of rewards (tickling or sucrose) and punishers (air-puff or back-handling) immediately prior to testing (Experiment 2). In Experiment 1, rats completed fewer trials and were more prone to switching between troughs when housed in standard, compared to enriched, housing conditions. In Experiment 2, rats completed more trials following pre-test tickling compared to pre-test sucrose delivery. However, we also found that they were prone to disengaging from the task, suggesting they were really choosing between three options: ‘harvest’, ‘switch’, or ‘not work’. This limits the straightforward interpretation of the results. At present, foraging behavior within the context of this task cannot reliably be used as an indicator of an affective state in animals.

Recent work is establishing awe as an important positive emotion that offers physical and psychological benefits. However, early theorizing suggests that awe’s experience is often tinged with fear. How then, do we reconcile emergent positive conceptualizations of awe with its more fearful elements? We suggest that positive conceptualizations of awe may partially reflect modern Western experiences of this emotion, which make up the majority of participant samples when studying awe. To test whether awe contains more fearful qualities outside of Western cultures, we compared participants’ experiences of this emotion in China to those in the United States. In a two-week daily diary study (Study 1), Chinese participants reported greater fear than American participants during experiences of awe, but not a comparison positive emotion. In response to a standardized awe induction (Study 2), Chinese participants reported more fear, whereas American participants reported more positive emotions. Physiological changes in autonomic activity differed by culture only for heart rate, but not skin conductance or respiratory sinus arrhythmia. These findings reveal that awe may be experienced as a more fearful, mixed emotion in China than in the United States and suggest that current positive conceptualizations of awe may reflect a disproportionate reliance on modern Western samples.

Despite the prevalence and importance of resting state thought for daily functioning and psychological well-being, it remains unclear how such thoughts differ between young and older adults. Age-related differences in the affective tone of resting state thoughts, including the affective language used to describe them, could be a novel manifestation of the positivity effect, with implications for well-being. To examine this possibility, a total of 77 young adults (M = 24.9 years, 18–35 years) and 74 cognitively normal older adults (M = 68.6 years, 58–83 years) spoke their thoughts freely during a think-aloud paradigm across two studies. The emotional properties of spoken words and participants’ retrospective self-reported affective experiences were computed and examined for age differences and relationships with psychological well-being. Study 1, conducted before the start of the COVID-19 pandemic, revealed that older adults exhibited more diversity of positive, but not negative, affectively tinged words compared to young adults and more positive self-reported thoughts. Despite being conducted virtually during the COVID-19 pandemic, study 2 replicated many of study 1’s findings, generalizing results across samples and study contexts. In an aggregated analysis of both samples, positive diversity predicted higher well-being beyond other metrics of affective tone, and the relationship between positive diversity and well-being was not moderated by age. Considering that older adults also exhibited higher well-being, these results hint at the possibility that cognitively healthy older adults’ propensity to experience more diverse positive concepts during natural periods of restful thought may partly underlie age-related differences in well-being and reveal a novel expression of the positivity effect.

Increasing evidence suggests that within-person variation in affect is a dimension distinct from mean levels along which individuals can be characterized. This study investigated affect variability’s association with concurrent and longitudinal mental health and how mean affect levels moderate these associations. The mental health outcomes of depression, panic disorder, self-rated mental health, and mental health professional visits from the second and third waves of the Midlife in the United States Study were used for cross-sectional (n = 1,676) and longitudinal outcomes (n = 1,271), respectively. These participants took part in the National Study of Daily Experiences (NSDE II), where they self-reported their affect once a day for 8 days, and this was used to compute affect mean and variability. Greater positive affect variability cross-sectionally predicted a higher likelihood of depression, panic disorder, mental health professional use, and poorer self-rated mental health. Greater negative affect variability predicted higher panic disorder probability. Longitudinally, elevated positive and negative affect variability predicted higher depression likelihood and worse self-rated mental health over time, while greater positive affect variability also predicted increased panic disorder probability. Additionally, mean affect moderated associations between variability and health such that variability-mental health associations primarily took place when mean positive affect was high (for concurrent mental health professional use and longitudinal depression) and when mean negative affect was low (for concurrent depression, panic disorder, self-rated mental health, and longitudinal self-rated mental health). Taken together, affect variability may have implications for both short- and long-term health and mean levels should be considered.

The field of ability-related emotional intelligence (ability EI) could benefit from new perspectives concerning dynamic operations. According to a recent perspective, variations in ability EI are likely to be linked to variations in skills related to evaluation. This perspective contends, perhaps counterintuitively, that higher levels of ability EI are likely to be linked to higher levels of emotional reactivity, defined in terms of stronger event-emotion relationships. Two studies (total N = 245) pursue such ideas in the context of multilevel models involving event valence and emotional experience. Variations in ability EI modulated event-emotion relationships in the context of laboratory inductions involving hypothetical events (Study 1), affective images varying in valence (Study 1), and with respect to naturally occurring variations in positive and negative daily events (Study 2), such that higher levels of ability EI were linked to stronger event-emotion relationships, regardless of whether events and emotions were positive or negative in valence. These results provide new evidence for recent theorizing concerning ability EI while speaking to functional versus dysfunctional perspectives on emotional reactivity.