Affective science最新文献

Concerns regarding the potential negative impacts of digital technology use on youth mental health and well-being are high. However, most studies have several methodological limitations: relying on cross-sectional designs and retrospective reports, assessing technology use as an omnibus construct, and focusing on between- instead of within-person comparisons. This study addresses these limitations by prospectively following young adolescents (n = 388) over a 14-day ecological momentary assessment study to test whether adolescents’ digital technology use is linked with self-reported emotional dysregulation and self-esteem and whether these relationships are stronger for adolescent girls than boys. We found no evidence that adolescents experienced higher emotional dysregulation (b = − .02; p = .07) and lower self-esteem (b = .004; p = .32) than they normally do on days where they use more technology than they normally do (within-person). Adolescents with higher average daily technology use over the study period did not experience lower levels of self-esteem (between-person, b = − .02; p = .13). Adolescents with higher average daily technology use across the two-week period did report higher levels of emotional dysregulation (p = .01), albeit the between-person relation was small (b = .08). There was no evidence that gender moderated the associations, both between and within adolescents (bs = − .02–.13, p = .06 − .55). Our findings contribute to the growing counter-narrative that technology use does not have as large of an impact on adolescents’ mental health and well-being as the public is concerned about.

This article discusses how the affectivism framework and the componential approach to emotion may serve the future of affective sciences. A particular aim of the article is to show that an appraisal-based componential approach to emotion can help reconcile opposing theories. It begins by contextualizing the evolution of emotion science within the framework of affectivism, acknowledging that the significant epistemological differences between various theories have paradoxically spurred interest in studying emotion across various perspectives and disciplines. If affectivism is regarded as the pursuit of a deeper understanding of not only emotions and other affective processes but also cognitive and behavioral processes, then its success can be partly attributed to the existence of multiple approaches, allowing each discipline and perspective to advance using the most suitable theory and methodology. We contend that a componential approach reveals that the five principal theories of emotion have each focused on one of five components of emotion. Overall, based on the analysis of several articles published in the special issue on the future of affective science, we argue that affective scientists are well equipped not only to build a future in which conceptual and methodological tools will be used to test diverging hypotheses between competing theories but also to acknowledge and celebrate where such theories converge.

A developmental psychobiologist commented on the role of dynamic systems theory in the future of affective science and proposed an alternative paradigm.

While research has shown mixed effects of social media on mental health and well-being, little is known about the association between social media attitudes and objective measures of social interaction, such as linguistic authenticity. This study examined the relationship between self-reported social anxiety, linguistic authenticity, and Instagram contingent self-worth (ICSW). A total of 149 adults with active Instagram accounts completed online questionnaires and shared their Instagram comment data. Automated linguistic analysis of authenticity was performed on participants’ comment data using validated algorithms. Multiple linear regression showed that ICSW significantly moderated the relationship between social anxiety and linguistic authenticity, whereby higher levels of social anxiety marginally predicted lower linguistic authenticity at high levels of ICSW. As social media use continues to rise, this study emphasizes the need to explore the impact of social media interactions on emotional and social well-being.

The Future of Affective Science Special Issues illuminate where the field of Affective Science is headed in coming years, highlighting exciting new directions for research. Many of the articles in the issues emphasized the importance of studying emotion regulation, and specifically, social emotion regulation. This commentary draws on these articles to argue that future research needs to more concretely focus on the social aspects of social emotion regulation, which have been underexplored in affective science. Specifically, we discuss the importance of focusing on social goals, strategies and tactics, and outcomes relevant to social emotion regulation interactions, more closely considering these processes for all individuals involved. To do so, we draw on research from neighboring subdisciplines of psychology that have focused on the social aspects of interactions. Moreover, we underscore the need to better integrate components of the process model of social emotion regulation and approach empirical inquiry more holistically, in turn illuminating how piecemeal investigations of these processes might lead to an incomplete or incorrect understanding of social emotion regulation. We hope this commentary supplements the research in the special issues, further highlighting ways to advance the field.

When learning about stimuli comprised of multiple cues, humans and other animals tend to form stronger cue-outcome associations for more salient cues than for less salient cues. This phenomenon, termed overshadowing, has typically been demonstrated between cues that vary in salience because of differences in physical intensity. In this study, we investigated whether differences in the emotional valence of cues in a compound stimulus similarly led to differences in the strength of cue-outcome learning. Using a probabilistic categorisation task in which stimuli were compounds consisting of pairs of emotional or non-emotional cue images, we found consistent evidence for emotional overshadowing across both an initial exploratory study (N = 50) and a confirmatory preregistered replication study (N = 200). Specifically, both pleasant and unpleasant cue images tended to overshadow neutral cue images, but pleasant and unpleasant cue images did not overshadow one another. Moreover, across stimuli, the magnitude of differences in learning between cues was proportional to differences in their absolute emotional valence, suggesting that attentional capture by both positively and negatively valenced emotions drives overshadowing. These findings have implications for understanding associative learning in natural environments, where stimuli are frequently imbued with emotional valence prior to learning.

The recent Special Issue of Affective Science considered “The Future of Affective Science,” offering new directions for the field. One recurring theme was the need to consider the social nature of emotional experiences. In this article, we take an interdisciplinary approach toward studies of social connection that builds upon current theoretical foundations to address an important public health issue – loneliness. Loneliness is an affective state that is characterized by feelings of isolation and has widespread adverse effects on mental and physical health. Recent studies have established links between loneliness, social connection, and well-being, but most of this work has been siloed in separate fields. We bridge these themes, leveraging advances in technology, such as artificial intelligence-based voice assistants (e.g., Alexa), to illuminate new avenues for detecting and intervening against loneliness “in the wild.” Recognizing the power of connection among individuals as social beings and among researchers with shared goals, affective science can advance our understanding of loneliness and provide tangible benefits to society at large.

Affective science has taken up the challenge of building a bridge between basic affective science and practical applications. The articles in the Future of Affective Science issue lay out methodological and conceptual frameworks that allow us to expand affective science into real-world settings and to handle naturalistic methods. Along with these advances, accomplishing this goal will require additionally refocusing the types of experiences we study, and the measures of experience we are interested in. This paper explores the necessity for basic affective science to embrace the messy and complex nature of human emotion in order to bridge the gap between theoretical concepts and real-world applicability. Specifically, this involves studying experiences that do not fit as neatly into dominant conceptual frameworks, such as valenced scales and the most common discrete emotion categories, and that may be more difficult to measure or experimentally control. This makes the gap between affective science and real-world feelings larger. To move the field towards incorporating emotional complexity in an empirical manner, I propose measurement standards that err on the side of less fixed-choice options and using stimuli chosen for their potential to elicit highly complex responses over time within the same individual. Designing studies that can measure these experiences will push emotion theories to explain data they were not originally designed for, likely leading to refinement and collaboration. These approaches will help capture the full spectrum of human emotional experience, leading to a more nuanced and applicable understanding of affective science.

Social media (SM) groups can connect users to similar others and may be particularly valuable for marginalized populations who lack support in their offline lives. Prior research highlights substantial heterogeneity in users’ engagement with and experience in SM groups, which may relate to social and emotional health in important ways. The current study used a cross-sectional survey of users of Facebook groups for multiracial people (N = 424) to identify user profiles and test how profiles relate to depressive symptoms and global sense of belonging. Latent profile analysis identified three profiles: (1) casual users (62% of users), who engaged more passively yet experienced moderate levels of belonging in the group; (2) invested users (21%), who reported high active participation, self-disclosure, belonging, and perceived similarity; and (3) dissatisfied users (17%), who reported moderate active and passive use and self-disclosure, yet low belonging and high negative experiences. Invested users reported significantly greater depressive symptoms compared to dissatisfied users (d = .46) and significantly lower global belonging compared to casual users (d =  − .33). Men were more likely to be dissatisfied users, and LGBTQIA + individuals were more likely to be invested users. Findings support the social compensation hypothesis of SM use and the importance of considering gender and sexual orientation in the realm of online group participation. Although further research is needed to clarify causal pathways, findings suggest the potential value of SM groups as a source of connection and support for those who are distressed or lack access to offline support.