Dimensional emotions are represented by distinct topographical brain networks

The ability to recognize others’ facial emotions has become increasingly important after the COVID-19 pandemic, which causes stressful situations in emotion regulation. Considering the importance of emotion in maintaining a social life, emotion knowledge to perceive and label emotions of oneself and others requires an understanding of affective dimensions, such as emotional valence and emotional arousal. However, limited information is available about whether the behavioral representation of affective dimensions is similar to their neural representation. To explore the relationship between the brain and behavior in the representational geometries of affective dimensions, we constructed a behavioral paradigm in which emotional faces were categorized into geometric spaces along the valence, arousal, and valence and arousal dimensions. Moreover, we compared such representations to neural representations of the faces acquired by functional magnetic resonance imaging. We found that affective dimensions were similarly represented in the behavior and brain. Specifically, behavioral and neural representations of valence were less similar to those of arousal. We also found that valence was represented in the dorsolateral prefrontal cortex, frontal eye fields, precuneus, and early visual cortex, whereas arousal was represented in the cingulate gyrus, middle frontal gyrus, orbitofrontal cortex, fusiform gyrus, and early visual cortex. In conclusion, the current study suggests that dimensional emotions are similarly represented in the behavior and brain and are presented with differential topographical organizations in the brain.     

Angry, disgusted, or afraid? Studies on the malleability of emotion perception

ABSTRACT— Current theories of emotion perception posit that basic facial expressions signal categorically discrete emotions or affective dimensions of valence and arousal. In both cases, the information is thought to be directly "read out" from the face in a way that is largely immune to context. In contrast, the three studies reported here demonstrated that identical facial configurations convey strikingly different emotions and dimensional values depending on the affective context in which they are embedded. This effect is modulated by the similarity between the target facial expression and the facial expression typically associated with the context. Moreover, by monitoring eye movements, we demonstrated that characteristic fixation patterns previously thought to be determined solely by the facial expression are systematically modulated by emotional context already at very early stages of visual processing, even by the first time the face is fixated. Our results indicate that the perception of basic facial expressions is not context invariant and can be categorically altered by context at early perceptual levels.     

Perceiving arousal and valence in facial expressions: Differences between children and adults

Arousal and valence have long been studied as the two primary dimensions for the perception of emotional stimuli such as facial expressions. Prior correlational studies that tested emotion perception along these dimensions found broad similarities between adults and children. However, few studies looked for direct differences between children and adults in these dimensions beyond correlation. We tested 9-year-old children and adults on rating positive and negative facial stimuli based on emotional arousal and valence. Despite high significant correlations between children’s and adults’ ratings, our findings also showed significant differences between children and adults in terms of rating values: Children rated all expressions as significantly more positive than adults in valence. Children also rated positive emotions as more arousing than adults. Our results show that although perception of facial emotions along arousal and valence follows similar patterns in children and adults, some differences in ratings persist, and vary by emotion type.     

Validating an interlingual metanorm for emotional analysis of texts

In this article, we present a set of 12 norms that characterize emotional terms in French, English, German, Spanish, Italian, and Finnish. The high correlation between the norm values in the two emotional dimensions of valence and arousal suggests an interlingual homogeneity of emotional representations and allows a significant metanorm??EMONORM??to be established with 6,383 terms characterized in valence and 4,345 terms characterized in arousal. This metanorm is a resource for creating experimental materials in studies on language and emotions. Furthermore, we perform three tests using EMONORM, with the objectives of (1) identifying basic emotions from their valence and arousal values, (2) determining the orientation of texts referring to positive and negative emotions, and (3) evaluating the intensity of emotions expressed in texts. The results are highly similar to those for human judgments. Finally, we present EMOVAL/SEMOTEX, a Web application for static and dynamic valence and arousal emotional analysis of texts using EMONORM (http://www.semotex.fr).     

唤醒定义探析及其认知神经生理基础

唤醒是衡量机体清醒程度和做出反应前准备程度的指标, 其水平可从睡眠到觉醒的连续体上变化, 具有独特的生理机制与神经回路。由于唤醒与情绪关联密切, 唤醒度这个概念常被认为等同于情绪强度, 但情绪强度实际上是唤醒和效价的和向量。受到Lazarus提出的“刺激”定义情绪思想的启发, 对唤醒的内含和心理机制进行了探析, 发现对不符合预期刺激出现的紧急准备是唤醒系统的主要功能, 预期性相关机制是唤醒的重要认知加工机制。其它因素(刺激属性、个体差异等)可能存在以下影响唤醒的原因：改变处理刺激时所需的资源量、影响预期机制。未来研究可从心理唤醒与生理唤醒的关系、唤醒的测量方法、唤醒度与情绪强度的关系、人类临床精神疾病的唤醒特征等角度推动唤醒的基础和应用研究。     

Categorical and dimensional perceptions in decoding emotional facial expressions

We investigated whether categorical perception and dimensional perception can co-occur while decoding emotional facial expressions. In Experiment 1, facial continua with endpoints consisting of four basic emotions (i.e., happiness-fear and anger-disgust) were created by a morphing technique. Participants rated each facial stimulus using a categorical strategy and a dimensional strategy. The results show that the happiness-fear continuum was divided into two clusters based on valence, even when using the dimensional strategy. Moreover, the faces were arrayed in order of the physical changes within each cluster. In Experiment 2, we found a category boundary within other continua (i.e., surprise-sadness and excitement-disgust) with regard to the arousal and valence dimensions. These findings indicate that categorical perception and dimensional perception co-occurred when emotional facial expressions were rated using a dimensional strategy, suggesting a hybrid theory of categorical and dimensional accounts.     

Films for eliciting emotional states in children

Standardized sets of films have been shown to be effective for eliciting emotional states in adults, but no comparable validated stimuli are available for children. We therefore examined the effects of three pre-selected film clips each of 3-min duration in eliciting a pleasant, neutral and unpleasant emotional state in 297 children aged between 6 and 12 years. After the films were presented on a video projector, affective ratings were obtained with the Self-Assessment-Manikin on the emotional dimensions of valence and arousal. Increasing pleasure ratings were observed from the unpleasant to the neutral to the pleasant film. Associated arousal ratings were stronger for the unpleasant and pleasant films compared to the neutral film. Overall, results showed successful elicitation of targeted emotional states only marginally influenced by age, gender or prior experience with the films. The use of these films is therefore suggested for future studies on emotions in children.     

The impact of changes in spatial distance on emotional responses

Drawing on motivational approaches to emotion, the authors propose that the perceived change in spatial distance to pictures that arouse negative emotions exerts an influence on the significance of these pictures. Two experiments induced the illusion that affective pictures approach toward the observer, recede from the observer, or remain static. To determine the motivational significance of the pictures, emotional valence and arousal ratings as well as startle responses were assessed. Approaching unpleasant pictures were found to exert an influence on both the valence and the arousal elicited by the pictures. Furthermore, movement of pleasant or neutral pictures did not influence startle responses, while the second experiment showed that approaching unpleasant pictures elicited enhanced startle responses compared to receding unpleasant pictures. These findings support the view that a change of spatial distance influences motivational significance and thereby shapes emotional responses.     

Patterns of cognitive appraisal in emotion

There has long been interest in describing emotional experience in terms of underlying dimensions, but traditionally only two dimensions, pleasantness and arousal, have been reliably found. The reasons for these findings are reviewed, and integrating this review with two recent theories of emotions (Roseman, 1984; Scherer, 1982), we propose eight cognitive appraisal dimensions to differentiate emotional experience. In an investigation of this model, subjects recalled past experiences associated with each of 15 emotions, and rated them along the proposed dimensions. Six orthogonal dimensions, pleasantness, anticipated effort, certainty, attentional activity, self-other responsibility/control, and situational control, were recovered, and the emotions varied systematically along each of these dimensions, indicating a strong relation between the appraisal of one's circumstances and one's emotional state. The patterns of appraisal for the different emotions, and the role of each of the dimensions in differentiating emotional experience are discussed.     

Categorical and dimensional perceptions in decoding emotional facial expressions

We investigated whether categorical perception and dimensional perception can co-occur while decoding emotional facial expressions. In Experiment 1, facial continua with endpoints consisting of four basic emotions (i.e., happiness–fear and anger–disgust) were created by a morphing technique. Participants rated each facial stimulus using a categorical strategy and a dimensional strategy. The results show that the happiness–fear continuum was divided into two clusters based on valence, even when using the dimensional strategy. Moreover, the faces were arrayed in order of the physical changes within each cluster. In Experiment 2, we found a category boundary within other continua (i.e., surprise–sadness and excitement–disgust) with regard to the arousal and valence dimensions. These findings indicate that categorical perception and dimensional perception co-occurred when emotional facial expressions were rated using a dimensional strategy, suggesting a hybrid theory of categorical and dimensional accounts.     

A multifactor-system dynamics theory of emotion

In multifactor individuality theory, emotion is treated as the product of the interaction of the cognitive and affective systems, where the cognitive system is defined as a multidimensional, hierarchical system that transforms information in order to detect environmental invariants, and the affective system is defined as a multidimensional hierarchical system that transforms information into arousal states. The highest order dimensions of the cognitive system are conceptual, perceptual, and symbolizing; the highest order dimensions of the affective system are emotional independence, introversion — extroversion, and emotional stability. The concept of arousal provides a key to understanding the complex interactions between cognition and affect. It is hypothesized that specifiable subsets of cognitive and affective dimensions conform to either the facilitative or decremental effects of arousal, and that the Yerkes-Dodson inverted-U function is a composite of both effects. An explanation for the differentiation of distinct emotional states is also presented. Essentially, emotions are differentiated by different weightings of the affective and cognitive dimensions. A theoretical framework for studying the temporal sequencing of phases of emotional behavior is presented as well.This research was supported by grant number S76-0908-RI, awarded to Joseph R. Royce by the Canada Council. Stephen R. Diamond is a research associate on the Individuality Project supported by the grant. We are grateful to Arnold Powell for assistance with the layout of Figure 7.     

Emotional dimensions as determinants of self-focused attention

Negative emotions, and particularly sadness, have been found to induce self-focused attention among both depressed and normal individuals. However, positive emotion, such as happiness, is sometimes found to have a similar effect. The present study examines the effect of emotion on self-focus induction by looking separately at the emotional dimensions of valence and arousal. It postulates that arousal would be even more potent than valence in increasing self-focus, since it increases the salience of the self. Results of Experiment 1 showed that emotions that are both intense and negative, such as fear, induce the most self-focus, but pleasant relaxation also resulted in increased self-focusing. Experiment 2, using a similar design, replicated the arousal effect, and showed that fear and joy, the two most arousing emotions resulted in the most self-focus.     

Acoustic correlates of emotional dimensions in laughter: arousal, dominance, and valence

Although laughter plays an essential part in emotional vocal communication, little is known about the acoustical correlates that encode different emotional dimensions. In this study we examined the acoustical structure of laughter sounds differing along four emotional dimensions: arousal, dominance, sender's valence, and receiver-directed valence. Correlation of 43 acoustic parameters with individual emotional dimensions revealed that each emotional dimension was associated with a number of vocal cues. Common patterns of cues were found with emotional expression in speech, supporting the hypothesis of a common underlying mechanism for the vocal expression of emotions.     

Running in fear: an investigation into the dimensional account of emotion in discriminating emotional expressions

Emotion can be conceptualized by the dimensional account of emotion with the dimensions of valence and arousal. There is little discussion of the difference in discriminability across the dimensions. The present study hypothesized that any pair of emotional expressions differing in the polarity of both valence and arousal dimensions would be easier to distinguish than a pair differing in only one dimension. The results indicate that the difference in the dimensions did not affect participants’ reaction time. Most pairs of emotional expressions, except those involving fear, were similarly discriminative. Reaction times to pairs with a fearful expression were faster than to those without. The fast reaction time to fearful facial expressions underscores the survival value of emotions.     

Effects of specific emotions on subjective judgment,driving performance,and perceived workload

The aim of this paper was to explore effects of specific emotions on subjective judgment, driving performance, and perceived workload. The traditional driving behavior research has focused on cognitive aspects such as attention, judgment, and decision making. Psychological findings have indicated that affective states also play a critical role in a user’s rational, functional, and intelligent behaviors. Most applied emotion research has concentrated on simple valence and arousal dimensions. However, recent findings have indicated that different emotions may have different impacts, even though they belong to the same valence or arousal. To identify more specific affective effects, seventy undergraduate participants drove in a vehicle simulator under three different road conditions, with one of the following induced affective states: anger, fear, happiness, or neutral. We measured their subjective judgment of driving confidence, risk perception, and safety level after affect induction; four types of driving errors: Lane Keeping, Traffic Rules, Aggressive Driving, and Collision while driving; and the electronic NASA-TLX after driving. Induced anger clearly showed negative effects on subjective safety level and led to degraded driving performance compared to neutral and fear. Happiness also showed degraded driving performance compared to neutral and fear. Fear did not have any significant effect on subjective judgment, driving performance, or perceived workload. Results suggest that we may need to take emotions and affect into account to construct a naturalistic and generic driving behavior model. To this end, a specific-affect approach is needed, beyond the sheer valence and arousal dimensions. Given that workload results are similar across affective states, examining affective effects may also require a different approach than just the perceived workload framework. The present work is expected to guide emotion detection research and help develop an emotion regulation model and adaptive interfaces for drivers.     

Emotional granularity and borderline personality disorder

This study examined the affective dysregulation component of borderline personality disorder (BPD) from an emotional granularity perspective, which refers to the specificity in which one represents emotions. Forty-six female participants meeting criteria for BPD and 51 female control participants without BPD and Axis I pathology completed tasks that assessed the degree to which participants incorporated information about valence (pleasant-unpleasant) and arousal (calm-activated) in their semantic/conceptual representations of emotions and in using labels to represent emotional reactions. As hypothesized, participants with BPD emphasized valence more and arousal less than control participants did when using emotion terms to label their emotional reactions. Implications and future research directions are discussed.     

Age similarities in matching pro- and contra-hedonic emotional strategies to everyday scenarios

ABSTRACT

Older adults are motivated to maximize positive affect in the present. Young adults will purposely feel negative and high arousal emotions in order to achieve a goal. However, this type of contra-hedonic emotional alignment has not been extensively studied with older adults. We expected older adults are less likely than young adults to select high arousal and negative emotions within specific scenarios where those states could be useful. In two studies, participants selected the emotion they preferred in hypothetical problems that varied on the arousal and valence best suited for goal achievement. Young and older adults were equally likely to endorse affective strategies that matched both pro and contra-hedonic scenarios. While older adults may be generally motivated to avoid negative and high-arousing emotions, they are just as likely as young adults to indicate that these states could be helpful in certain situations.     

Reproducing affective norms with lexical co-occurrence statistics: Predicting valence,arousal, and dominance

Human ratings of valence, arousal, and dominance are frequently used to study the cognitive mechanisms of emotional attention, word recognition, and numerous other phenomena in which emotions are hypothesized to play an important role. Collecting such norms from human raters is expensive and time consuming. As a result, affective norms are available for only a small number of English words, are not available for proper nouns in English, and are sparse in other languages. This paper investigated whether affective ratings can be predicted from length, contextual diversity, co-occurrences with words of known valence, and orthographic similarity to words of known valence, providing an algorithm for estimating affective ratings for larger and different datasets. Our bootstrapped ratings achieved correlations with human ratings on valence, arousal, and dominance that are on par with previously reported correlations across gender, age, education and language boundaries. We release these bootstrapped norms for 23,495 English words.