Fragrance lexicon for analysis of consumer-generated perfume reviews in Russian and English

In recent years, there has been a rise in research on sensorium in various academic disciplines. Olfaction is recognized as a sense that is most closely linked to cognition, memory and emotion. Due to this unique feature, studies on various aspects of human olfaction are steadily gaining prominence in the humanities and social sciences. In order to understand how the olfactory modality is marked, several taxonomies and semantic spaces of olfactory terms have been developed. However, the focus has been on the general olfaction lexicon and there is a lack of systematic and comprehensive lexicons for fragrant smells. This article addresses this gap. It adopts a multilingual perspective and describes the process of developing a fragrance lexicon in two languages, Russian and English. A fragrance lexicon refers to a list of words that people might use to describe a perfume. The steps in the lexicon development included •sourcing the lexical items in the two languages•translating and cleaning the word lists•revising and refining the lexiconThe fragrance lexicon presented in this article can be used to aid linguistic analyses of naturally occurring communications about perfumes, such as computational analyses of consumer-generated perfume reviews.

Advancing Naturalistic Affective Science with Deep Learning

People express their own emotions and perceive others' emotions via a variety of channels, including facial movements, body gestures, vocal prosody, and language. Studying these channels of affective behavior offers insight into both the experience and perception of emotion. Prior research has predominantly focused on studying individual channels of affective behavior in isolation using tightly controlled, non-naturalistic experiments. This approach limits our understanding of emotion in more naturalistic contexts where different channels of information tend to interact. Traditional methods struggle to address this limitation: manually annotating behavior is time-consuming, making it infeasible to do at large scale; manually selecting and manipulating stimuli based on hypotheses may neglect unanticipated features, potentially generating biased conclusions; and common linear modeling approaches cannot fully capture the complex, nonlinear, and interactive nature of real-life affective processes. In this methodology review, we describe how deep learning can be applied to address these challenges to advance a more naturalistic affective science. First, we describe current practices in affective research and explain why existing methods face challenges in revealing a more naturalistic understanding of emotion. Second, we introduce deep learning approaches and explain how they can be applied to tackle three main challenges: quantifying naturalistic behaviors, selecting and manipulating naturalistic stimuli, and modeling naturalistic affective processes. Finally, we describe the limitations of these deep learning methods, and how these limitations might be avoided or mitigated. By detailing the promise and the peril of deep learning, this review aims to pave the way for a more naturalistic affective science.

Lab Meets World: the Case for Use-Inspired Basic Research in Affective Science

We join others in envisioning a future for affective science that addresses society's most pressing needs. To move toward this vision, we consider a research paradigm that emerged in other disciplines: use-inspired basic research. This paradigm transcends the traditional basic-applied dichotomy, which pits the basic goal of fundamental scientific understanding against the applied goal of use in solving social problems. In reality, these goals are complementary, and use-inspired basic research advances them simultaneously. Here, we build a case for use-inspired basic research-how it differs from traditional basic science and why affective scientists should engage in it. We first examine how use-inspired basic research challenges problematic assumptions of a strict basic-applied dichotomy. We then discuss how it is consistent with advances in affective science that recognize context specificity as the norm and consider ethical issues of use being a complementary goal. Following this theoretical discussion, we differentiate the implementation of use-inspired basic research from that of traditional basic science. We draw on examples from recent research to illustrate differences: social problems as a starting point, stakeholder and community engagement, and integration of research and service. In conclusion, we invite affective scientists to embrace the "lab meets world" perspective of use-inspired basic research as a promising pathway to real-world impact.

On the link between emotional contagion and contagious yawning

Palagi et al. (Neurosci. Biobehav. Rev. 111:149-165, 2020) propose a multidisciplinary approach to the study of spontaneous mimicry, focusing on comparative research on facial mimicry and contagious yawning. In doing so, the authors highlight connections between these behaviors and emotional contagion. The aim of this commentary is to critically evaluate the link between contagious yawning and emotional contagion, address the role of attention in contagious yawning, and promote further research examining the sensory and perceptual factors driving variability in contagious yawning. Contrary to the position of Palagi et al., a strong matching between emotional contagion and contagious yawning has not been established. Variation in contagious yawning appears to be driven by biased attentional processes and yawn detection rather than emotional sharing.

Social context and the real-world consequences of social anxiety

BACKGROUND

Social anxiety lies on a continuum, and young adults with elevated symptoms are at risk for developing a range of psychiatric disorders. Yet relatively little is known about the factors that govern the hour-by-hour experience and expression of social anxiety in the real world.

METHODS

Here we used smartphone-based ecological momentary assessment (EMA) to intensively sample emotional experience across different social contexts in the daily lives of 228 young adults selectively recruited to represent a broad spectrum of social anxiety symptoms.

RESULTS

Leveraging data from over 11 000 real-world assessments, our results highlight the central role of close friends, family members, and romantic partners. The presence of such close companions was associated with enhanced mood, yet socially anxious individuals had fewer confidants and spent less time with the close companions that they do have. Although higher levels of social anxiety were associated with a general worsening of mood, socially anxious individuals appear to derive larger benefits - lower levels of negative affect, anxiety, and depression - from their close companions. In contrast, variation in social anxiety was unrelated to the amount of time spent with strangers, co-workers, and acquaintances; and we uncovered no evidence of emotional hypersensitivity to these less-familiar individuals.

CONCLUSIONS

These findings provide a framework for understanding the deleterious consequences of social anxiety in emerging adulthood and set the stage for developing improved intervention strategies.

Investigating Emotional Similarity: A Comment on Riberto, Pobric, and Talmi (2019)

A recent review of the neuroimaging literature on emotional similarity brought to light some of the drawbacks of the latest studies. The authors discussed important methodological considerations for future work in this field, which predominantly involved stimulus selection. In general, we feel that their suggestions are valuable, but we hold that, depending on the specific scientific question(s) under investigation (e.g., individual differences), some of the suggestions may not meaningfully contribute to the scope of the study and might even introduce artificial constraints that could reduce the researchers' ability to discover effects of interest. Here we indicate one way to potentially circumvent such stimulus-related issues in neuroimaging studies and furthermore present a few scenarios in which additional controlling of the stimulus set may not be necessary or possible when investigating individual differences. This commentary serves to supplement the important methodological points raised by the authors by providing a caveat in potentially applying such points to all future experiments investigating emotional similarity.

Are emotional states based in the brain? A critique of affective brainocentrism from a physiological perspective

We call affective brainocentrism the tendency to privilege the brain over other parts of the organism when defining or explaining emotions. We distinguish two versions of this tendency. According to brain-sufficient, emotional states are entirely realized by brain processes. According to brain-master, emotional states are realized by both brain and bodily processes, but the latter are entirely driven by the brain: the brain is the master regulator of bodily processes. We argue that both these claims are problematic, and we draw on physiological accounts of stress to make our main case. These accounts illustrate the existence of complex interactions between the brain and endocrine systems, the immune system, the enteric nervous system, and even gut microbiota. We argue that, because of these complex brain-body interactions, the brain cannot be isolated and identified as the basis of stress. We also mention recent evidence suggesting that complex brain-body interactions characterize the physiology of depression and anxiety. Finally, we call for an alternative dynamical, systemic, and embodied approach to the study of the physiology of emotions that does not privilege the brain, but rather aims at understanding how mutually regulating brain and bodily processes jointly realize a variety of emotional states.

Emotion regulation via visual avoidance: Insights from neurological patients

Visual avoidance of unpleasant stimuli (i.e., strategic positioning of eyes, head and torso away from an environmental stimulus) is a common attentional control behavior that may down-regulate emotion by reducing visual input. Despite its ubiquity, relatively little is known about how visual avoidance is affected by neurological diseases that impact neural circuits involved in emotional functioning. We examined visual avoidance in 56 behavioral variant frontotemporal dementia (bvFTD) patients, 43 Alzheimer's disease (AD) patients, and 34 healthy controls. Participants came to our laboratory and viewed an extremely disgusting film clip while visual avoidance was measured using behavioral coding of head, body, and eye position. Controlling for differences in cognitive functioning, bvFTD patients were less likely to engage in visual avoidance behaviors than both AD patients and healthy controls. Additional analyses revealed that diminished visual avoidance in this task was associated with lower levels of real-world emotion regulation but not with emotion reactivity as reported by the primary caregiver.

The emotional brain: Fundamental questions and strategies for future research

Emotions play a central role in human experience. Over time, methods for manipulating emotion have become increasingly refined and techniques for making sense of the underlying neurobiology have become ever more powerful and precise, enabling new insights into the organization of emotions in the brain. Yet recent years have witnessed a remarkably vigorous debate about the nature and origins of emotion, with leading scientists raising compelling concerns about the canon of facts and principles that has inspired and guided the field for the past quarter century. Here, we consider ways in which recent neuroimaging research informs this dialogue. By focusing attention on the most important outstanding questions about the nature of emotion and the architecture of the emotional brain, we hope to stimulate the kinds of work that will be required to move the field forward. Addressing these questions is critical, not just for understanding the mind, but also for elucidating the root causes of many of its disorders.

Affective science and avoidant end-of-life communication: Can the science of emotion help physicians talk with their patients about the end of life?

Despite believing end-of-life (EOL) discussions with patients are important, doctors often do not have them. Multiple factors contribute to this shortfall, which interventions including reimbursement changes and communication skills training have not significantly improved to date. One commonly cited but under-researched reason for physician avoidance of EOL discussion is emotional difficulty. High occupational demand for frequent difficult discussions may overload physicians' normal emotional functioning, leading to avoidance or failure. We propose that cognitive, behavioral, and neuroscience evidence from affective science may offer helpful insights into this problem. Data from other populations show that strong emotion impairs cognitive performance and multiple demands can overload cognitive resources. We discuss several affective processes that may apply to physicians attempting EOL discussions. We then discuss selected interventions that have been shown to modify some of these processes and associated behavioral outcomes. Evidence for change in behavioral outcomes of interest includes performance and mood enhancement in healthy populations. We suggest that such mechanistically-targeted interventions may be hypothesized to help decrease physician avoidance of EOL discussion. Physicians may be motivated to adopt such interventions in order to enhance normal emotional functioning to meet supra-normal occupational demand. We propose this as a promising area of future study.

Common variant in OXTR predicts growth in positive emotions from loving-kindness training

Ample research suggests that social connection reliably generates positive emotions. Oxytocin, a neuropeptide implicated in social cognition and behavior, is one biological mechanism that may influence an individual's capacity to extract positive emotions from social contexts. Because variation in certain genes may indicate underlying neurobiological differences, we tested whether several SNPs in two genes related to oxytocin signaling would show effects on positive emotions that were context-specific, depending on sociality. For six weeks, a sample of mid-life adults (N=122) participated in either socially-focused loving-kindness training or mindfulness training. During this timespan they reported their positive emotions daily. Five SNPs within OXTR and CD38 were assayed, and each was tested for its individual effect on daily emotions. The hypothesized three-way interaction between time, training type, and genetic variability emerged: Individuals homozygous for the G allele of OXTR rs1042778 experienced gains in daily positive emotions from loving-kindness training, whereas individuals with the T allele did not experience gains in positive emotions with either training. These findings are among the first to show how genetic differences in oxytocin signaling may influence an individual's capacity to experience positive emotions as a result of a socially-focused intervention.