Affective science最新文献

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.

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.

When studying emotion and emotion regulation, typical approaches focus on intrapersonal processes. Although this emphasis clarifies what transpires within a person, it does not capture that much of emotional experience and regulation occurs between people. In this commentary, we highlight how the Cognitive-Affective Processing System (CAPS) approach—originally developed by Mischel and Shoda and extended to dyadic interactions by Zayas, Shoda, and Ayduk—can provide a unifying framework for understanding the complexity of everyday affective experiences. We discuss how this framework can be fruitfully applied to the study of emotion and emotion regulation broadly, and particularly to interpersonal emotion regulation, by considering both the mediating psychological processes within individuals, as well as the behavioral processes that transpire between individuals. To illustrate these points, we discuss some of the thought-provoking work in the special double issue on the Future of Affective Science edited by Shiota et al. (2023), and we offer forward-thinking suggestions and propose future research directions informed by the CAPS approach. By employing the CAPS framework, we can better capture the complexity of everyday affective experiences and synthesize the growing body of research in affective science.

The Future of Affective Science special issue covered a broad range of topics, ranging from the valuation and experience of emotions to their expression and regulation. Despite the breadth of these topics, consideration of diverse contexts was limited in that most studies relied on Western, Educated, Industrialized, Rich, and Democratic (WEIRD) samples and/or failed to explore the rich diversity present in those countries with vast population heterogeneity. We argue that a more systematic approach is essential to advance theory and research on how diverse contexts impact and interact with different components of emotion processes. Specifically, future research should compare a wider range of cultures; examine the interplay between culture, individual, and situation; and transcend the traditional Eastern/Western or WEIRD/non-WEIRD dichotomy and other group comparisons by embracing a dimensional approach to diverse contexts. We provide concrete examples of how leveraging these three approaches to expand the scope of diverse contexts can benefit the future development of affective science, a field heavily impacted by sociocultural context.

In this commentary, we expand on the special issue themes of applied affective science, ecologically valid data and application, and the need for transdisciplinary collaboration by discussing and exemplifying how affective science can inform behavioral public policy.