Showing papers on "Valence (psychology) published in 2013"

Norms of valence, arousal, and dominance for 13,915 English lemmas

Abstract: Information about the affective meanings of words is used by researchers working on emotions and moods, word recognition and memory, and text-based sentiment analysis. Three components of emotions are traditionally distinguished: valence (the pleasantness of a stimulus), arousal (the intensity of emotion provoked by a stimulus), and dominance (the degree of control exerted by a stimulus). Thus far, nearly all research has been based on the ANEW norms collected by Bradley and Lang (1999) for 1,034 words. We extended that database to nearly 14,000 English lemmas, providing researchers with a much richer source of information, including gender, age, and educational differences in emotion norms. As an example of the new possibilities, we included stimuli from nearly all of the category norms (e.g., types of diseases, occupations, and taboo words) collected by Van Overschelde, Rawson, and Dunlosky (Journal of Memory and Language 50:289-335, 2004), making it possible to include affect in studies of semantic memory.

Gender Differences in Emotion Expression in Children: A Meta-Analytic Review

Abstract: Emotion expression is an important feature of healthy child development that has been found to show gender differences. However, there has been no empirical review of the literature on gender and facial, vocal, and behavioral expressions of different types of emotions in children. The present study constitutes a comprehensive meta-analytic review of gender differences and moderators of differences in emotion expression from infancy through adolescence. We analyzed 555 effect sizes from 166 studies with a total of 21,709 participants. Significant but very small gender differences were found overall, with girls showing more positive emotions (g –.08) and internalizing emotions (e.g., sadness, anxiety, sympathy; g –.10) than boys, and boys showing more externalizing emotions (e.g., anger; g .09) than girls. Notably, gender differences were moderated by age, interpersonal context, and task valence, underscoring the importance of contextual factors in gender differences. Gender differences in positive emotions were more pronounced with increasing age, with girls showing more positive emotions than boys in middle childhood (g –.20) and adolescence (g –.28). Boys showed more externalizing emotions than girls at toddler/preschool age (g .17) and middle childhood (g .13) and fewer externalizing emotions than girls in adolescence (g –.27). Gender differences were less pronounced with parents and were more pronounced with unfamiliar adults (for positive emotions) and with peers/when alone (for externalizing emotions). Our findings of gender differences in emotion expression in specific contexts have important implications for gender differences in children’s healthy and maladaptive development.

AVEC 2013: the continuous audio/visual emotion and depression recognition challenge

Abstract: Mood disorders are inherently related to emotion. In particular, the behaviour of people suffering from mood disorders such as unipolar depression shows a strong temporal correlation with the affective dimensions valence and arousal. In addition, psychologists and psychiatrists take the observation of expressive facial and vocal cues into account while evaluating a patient's condition. Depression could result in expressive behaviour such as dampened facial expressions, avoiding eye contact, and using short sentences with flat intonation. It is in this context that we present the third Audio-Visual Emotion recognition Challenge (AVEC 2013). The challenge has two goals logically organised as sub-challenges: the first is to predict the continuous values of the affective dimensions valence and arousal at each moment in time. The second sub-challenge is to predict the value of a single depression indicator for each recording in the dataset. This paper presents the challenge guidelines, the common data used, and the performance of the baseline system on the two tasks.

Emotional Mimicry as Social Regulation

Abstract: Emotional mimicry is the imitation of the emotional expressions of others. According to the classic view on emotional mimicry (the Matched Motor Hypothesis), people mimic the specific facial movements that comprise a discrete emotional expression. However, little evidence exists for the mimicry of discrete emotions; rather, the extant evidence supports only valence-based mimicry. We propose an alternative Emotion Mimicry in Context view according to which emotional mimicry is not based on mere perception but rather on the interpretation of signals as emotional intentions in a specific context. We present evidence for the idea that people mimic contextualized emotions rather than simply expressive muscle movements. Our model postulates that (implicit or explicit) contextual information is needed for emotional mimicry to take place. It takes into account the relationship between observer and expresser, and suggests that emotional mimicry depends on this relationship and functions as a social regulator.

The relation between valence and arousal in subjective experience.

Abstract: Affect is basic to many if not all psychological phenomena. This article examines 2 of the most fundamental properties of affective experience--valence and arousal--asking how they are related to each other on a moment to moment basis. Over the past century, 6 distinct types of relations have been suggested or implicitly presupposed in the literature. We critically review the available evidence for each proposal and argue that the evidence does not provide a conclusive answer. Next, we use statistical modeling to verify the different proposals in 8 data sets (with Ns ranging from 80 to 1,417) where participants reported their affective experiences in response to experimental stimuli in laboratory settings or as momentary or remembered in natural settings. We formulate 3 key conclusions about the relation between valence and arousal: (a) on average, there is a weak but consistent V-shaped relation of arousal as a function of valence, but (b) there is large variation at the individual level, so that (c) valence and arousal can in principle show a variety of relations depending on person or circumstances. This casts doubt on the existence of a static, lawful relation between valence and arousal. The meaningfulness of the observed individual differences is supported by their personality and cultural correlates. The malleability and individual differences found in the structure of affect must be taken into account when studying affect and its role in other psychological phenomena.

Norms of valence, arousal, dominance, and age of acquisition for 4,300 Dutch words.

Abstract: This article presents norms of valence/pleasantness, activity/arousal, power/dominance, and age of acquisition for 4,300 Dutch words, mainly nouns, adjectives, adverbs, and verbs. The norms are based on ratings with a 7-point Likert scale by independent groups of students from two Belgian (Ghent and Leuven) and two Dutch (Rotterdam and Leiden-Amsterdam) samples. For each variable, we obtained high split-half reliabilities within each sample and high correlations between samples. In addition, the valence ratings of a previous, more limited study (Hermans & De Houwer, Psychologica Belgica, 34:115-139, 1994) correlated highly with those of the present study. Therefore, the new norms are a valuable source of information for affective research in the Dutch language.

Children’s Interpretation of Facial Expressions: The Long Path from Valence-Based to Specific Discrete Categories

Abstract: According to a common sense theory, facial expressions signal specific emotions to people of all ages and therefore provide children easy access to the emotions of those around them. The evidence, however, does not support that account. Instead, children’s understanding of facial expressions is poor and changes qualitatively and slowly over the course of development. Initially, children divide facial expressions into two simple categories (feels good, feels bad). These broad categories are then gradually differentiated until an adult system of discrete categories is achieved, likely in the teen years. Children’s understanding of most specific emotions begins not with facial expressions, but with their understanding of the emotion’s antecedents and behavioral consequences.

Identifying Emotions on the Basis of Neural Activation.

Abstract: We attempt to determine the discriminability and organization of neural activation corresponding to the experience of specific emotions. Method actors were asked to self-induce nine emotional states (anger, disgust, envy, fear, happiness, lust, pride, sadness, and shame) while in an fMRI scanner. Using a Gaussian Naive Bayes pooled variance classifier, we demonstrate the ability to identify specific emotions experienced by an individual at well over chance accuracy on the basis of: 1) neural activation of the same individual in other trials, 2) neural activation of other individuals who experienced similar trials, and 3) neural activation of the same individual to a qualitatively different type of emotion induction. Factor analysis identified valence, arousal, sociality, and lust as dimensions underlying the activation patterns. These results suggest a structure for neural representations of emotion and inform theories of emotional processing.

Emotional Valence and the Free-Energy Principle

Abstract: The free-energy principle has recently been proposed as a unified Bayesian account of perception, learning and action. Despite the inextricable link between emotion and cognition, emotion has not yet been formulated under this framework. A core concept that permeates many perspectives on emotion is valence, which broadly refers to the positive and negative character of emotion or some of its aspects. In the present paper, we propose a definition of emotional valence in terms of the negative rate of change of free-energy over time. If the second time-derivative of free-energy is taken into account, the dynamics of basic forms of emotion such as happiness, unhappiness, hope, fear, disappointment and relief can be explained. In this formulation, an important function of emotional valence turns out to regulate the learning rate of the causes of sensory inputs. When sensations increasingly violate the agent's expectations, valence is negative and increases the learning rate. Conversely, when sensations increasingly fulfil the agent's expectations, valence is positive and decreases the learning rate. This dynamic interaction between emotional valence and learning rate highlights the crucial role played by emotions in biological agents' adaptation to unexpected changes in their world.

What is shared, what is different? Core relational themes and expressive displays of eight positive emotions

Abstract: Understanding positive emotions' shared and differentiating features can yield valuable insight into the structure of positive emotion space and identify emotion states, or aspects of emotion states, that are most relevant for particular psychological processes and outcomes. We report two studies that examined core relational themes (Study 1) and expressive displays (Study 2) for eight positive emotion constructs--amusement, awe, contentment, gratitude, interest, joy, love, and pride. Across studies, all eight emotions shared one quality: high positive valence. Distinctive core relational theme and expressive display patterns were found for four emotions--amusement, awe, interest, and pride. Gratitude was associated with a distinct core relational theme but not an expressive display. Joy and love were each associated with a distinct expressive display but their core relational themes also characterised pride and gratitude, respectively. Contentment was associated with a distinct expressive display but not a core relational theme. The implications of this work for the study of positive emotion are discussed.

Ventromedial Prefrontal Cortex Encodes Emotional Value

Abstract: The ventromedial prefrontal cortex (vmPFC) plays a critical role in processing appetitive stimuli. Recent investigations have shown that reward value signals in the vmPFC can be altered by emotion regulation processes; however, to what extent the processing of positive emotion relies on neural regions implicated in reward processing is unclear. Here, we investigated the effects of emotion regulation on the valuation of emotionally evocative images. Two independent experimental samples of human participants performed a cognitive reappraisal task while undergoing fMRI. The experience of positive emotions activated the vmPFC, whereas the regulation of positive emotions led to relative decreases in vmPFC activation. During the experience of positive emotions, vmPFC activation tracked participants' own subjective ratings of the valence of stimuli. Furthermore, vmPFC activation also tracked normative valence ratings of the stimuli when participants were asked to experience their emotions, but not when asked to regulate them. A separate analysis of the predictive power of vmPFC on behavior indicated that even after accounting for normative stimulus ratings and condition, increased signal in the vmPFC was associated with more positive valence ratings. These results suggest that the vmPFC encodes a domain-general value signal that tracks the value of not only external rewards, but also emotional stimuli.

Cognition–Emotion Integration in the Anterior Insular Cortex

Abstract: Both cognitive and affective processes require mental resources. However, it remains unclear whether these 2 processes work in parallel or in an integrated fashion. In this functional magnetic resonance imaging study, we investigated their interaction using an empathy-for-pain paradigm, with simultaneous manipulation of cognitive demand of the tasks and emotional valence of the stimuli. Eighteen healthy adult participants viewed photographs showing other people's hands and feet in painful or nonpainful situations while performing tasks of low (body part judgment) and high (laterality judgment) cognitive demand. Behavioral data showed increased reaction times and error rates for painful compared with nonpainful stimuli under laterality judgment relative to body part judgment, indicating an interaction between cognitive demand and stimulus valence. Imaging analyses showed activity in bilateral anterior insula (AI) and primary somatosensory cortex (SI), but not posterior insula, for main effects of cognitive demand and stimulus valence. Importantly, cognitive demand and stimulus valence showed a significant interaction in AI, SI, and regions of the frontoparietal network. These results suggest that cognitive and emotional processes at least partially share common brain networks and that AI might serve as a key node in a brain network subserving cognition-emotion integration.

Probabilistic models of expectation violation predict psychophysiological emotional responses to live concert music

Abstract: We present the results of a study testing the often-theorized role of musical expectations in inducing listeners' emotions in a live flute concert experiment with 50 participants. Using an audience response system developed for this purpose, we measured subjective experience and peripheral psychophysiological changes continuously. To confirm the existence of the link between expectation and emotion, we used a threefold approach. (1) On the basis of an information-theoretic cognitive model, melodic pitch expectations were predicted by analyzing the musical stimuli used (six pieces of solo flute music). (2) A continuous rating scale was used by half of the audience to measure their experience of unexpectedness toward the music heard. (3) Emotional reactions were measured using a multicomponent approach: subjective feeling (valence and arousal rated continuously by the other half of the audience members), expressive behavior (facial EMG), and peripheral arousal (the latter two being measured in all 50 participants). Results confirmed the predicted relationship between high-information-content musical events, the violation of musical expectations (in corresponding ratings), and emotional reactions (psychologically and physiologically). Musical structures leading to expectation reactions were manifested in emotional reactions at different emotion component levels (increases in subjective arousal and autonomic nervous system activations). These results emphasize the role of musical structure in emotion induction, leading to a further understanding of the frequently experienced emotional effects of music.

Neural Evidence That Human Emotions Share Core Affective Properties

Abstract: Research on the "emotional brain" remains centered around the idea that emotions like fear, happiness, and sadness result from specialized and distinct neural circuitry. Accumulating behavioral and physiological evidence suggests, instead, that emotions are grounded in core affect--a person's fluctuating level of pleasant or unpleasant arousal. A neuroimaging study revealed that participants' subjective ratings of valence (i.e., pleasure/displeasure) and of arousal evoked by various fear, happiness, and sadness experiences correlated with neural activity in specific brain regions (orbitofrontal cortex and amygdala, respectively). We observed these correlations across diverse instances within each emotion category, as well as across instances from all three categories. Consistent with a psychological construction approach to emotion, the results suggest that neural circuitry realizes more basic processes across discrete emotions. The implicated brain regions regulate the body to deal with the world, producing the affective changes at the core of emotions and many other psychological phenomena.

Conflicts as aversive signals: Conflict priming increases negative judgments for neutral stimuli

Abstract: Botvinick, Cognitive, Affective, & Behavioral Neuroscience 7:356–366 (2007) recently suggested that competing theories of the monitoring function of the anterior cingulate cortex (ACC) for cognitive control might converge on the detection of aversive signals in general, implying that response conflicts, a known trigger of ACC activation, are aversive, too. Recent evidence showing conflict priming (i.e., faster responses to negative targets after conflict primes) directly supports this notion but remains inconclusive with regard to possible confounds with processing fluency. To this end, two experiments were conducted to offer more compelling evidence for the negative valence of conflicts. Participants were primed by (conflict and nonconflict) Stroop stimuli and subsequently had to judge the valence of neutral German words (Experiment 1a) or Chinese pictographs (Experiment 1b). Results showed that conflict, as compared with nonconflict, primes led to more negative judgments of subsequently presented neutral target stimuli. The findings will be discussed in the light of existing theories of action control highlighting the role of aversive signals for sequential processing adjustments.

On the valence of surprise

Abstract: While surprise is a common emotion in everyday life, some of its fundamental characteristics are still unclear. For example, what does surprise feel like, positive or negative? The emotion literature has been somewhat unclear about the experiential valence of surprise. Surprise has been depicted as a pre-affective state, or as an emotion that can be both positive and negative, depending on the goal conduciveness of the surprising event. Based on recent work on cognitive consistency and neuroscientific/psychophysiological studies on surprise, we explored the possibility that surprise may be a (mildly) negative emotion in a study of autobiographical recall of unexpected and surprising events (Experiment 1) and in two studies of facial expressions of surprise (Experiments 2 and 3a/b). The studies show that experience of surprise and the perception of surprise in others may indeed be initially negative. We furthermore show how linguistic features of surprise and the temporal dynamics may have contributed to previous confusion regarding its valence.

Valence, arousal and dominance in the EEG during game play

Abstract: In this paper, we describe our investigation of traces of naturally occurring emotions in electrical brain signals, that can be used to build interfaces that respond to our emotional state. This study confirms a number of known affective correlates in a realistic, uncontrolled environment for the emotions of valence (or pleasure), arousal and dominance: (1) a significant decrease in frontal power in the theta range is found for increasingly positive valence, (2) a significant frontal increase in power in the alpha range is associated with increasing emotional arousal, (3) a significant right posterior power increase in the delta range correlates with increasing arousal and (4) asymmetry in power in the lower alpha bands correlates with self-reported valence. Furthermore, asymmetry in the higher alpha bands correlates with self-reported dominance. These last two effects provide a simple measure for subjective feelings of pleasure and feelings of control.

Valence, arousal, and task effects in emotional prosody processing

Abstract: Previous research suggests that emotional prosody processing is a highly rapid and complex process. In particular, it has been shown that different basic emotions can be differentiated in an early event-related brain potential (ERP) component, the P200. Often, the P200 is followed by later long lasting ERPs such as the late positive complex. The current experiment set out to explore in how far emotionality and arousal can modulate these previously reported ERP components. In addition, we also investigated the influence of task demands (implicit vs. explicit evaluation of stimuli). Participants listened to pseudo-sentences (sentences with no lexical content) spoken in six different emotions or in a neutral tone of voice while they either rated the arousal level of the speaker or their own arousal level. Results confirm that different emotional intonations can first be differentiated in the P200 component, reflecting a first emotional encoding of the stimulus possibly including a valence tagging process. A marginal significant arousal effect was also found in this time-window with high arousing stimuli eliciting a stronger P200 than low arousing stimuli. The P200 component was followed by a long lasting positive ERP between 400 and 750 ms. In this late time-window, both emotion and arousal effects were found. No effects of task were observed in either time-window. Taken together, results suggest that emotion relevant details are robustly decoded during early processing and late processing stages while arousal information is only reliably taken into consideration at a later stage of processing.

Real-Time Fractal-Based Valence Level Recognition from EEG

Abstract: Emotions are important in human-computer interaction. Emotions could be classified based on 3-dimensional Valence-Arousal-Dominance model which allows defining any number of emotions even without discrete emotion labels. In this paper, we propose a real-time fractal dimension (FD) based valence level recognition algorithm from Electroencephalographic (EEG) signals. The FD-based feature is proposed as a valence dimension index in continuous emotion recognition. The thresholds are used to identify different levels of the valence dimension. The algorithm is tested on the EEG data labeled with different valence levels from the proposed and implemented experiment database and from the benchmark affective EEG database DEAP. The proposed algorithm is applied for recognition of 16 emotions defined by high/low arousal, high/low dominance and 4 levels of valence dimension. 9 levels of valence states with controlled dominance levels (high or low) can be recognized as well. The proposed algorithm can be implemented in different real-time applications such as emotional avatar and E-learning systems.

Taking a deeper look at online reviews: The asymmetric effect of valence intensity on shopping behaviour

Abstract: This study tests the asymmetric effect of user-generated, open-ended online reviews on online shopping behaviour (intention-to-buy, intention-to-recommend, and willingness-to-pay). Three online experiments involving manipulating the valence intensity of online reviews for hotels, books, and running shoes (overall customer sample of n=818) provide empirical support for the proposed relationship. The valence intensity of online reviews moderates the effect of online reviews on purchase intentions. In other words, a significant change in online shopping behaviour was found for positive medium and strong reviews, but not for negative ones. Based on these findings, managers should encourage customers to share their positive consumption-related experiences by offering strong arguments that will convince other customers.

When voices get emotional: A corpus of nonverbal vocalizations for research on emotion processing

Abstract: Nonverbal vocal expressions, such as laughter, sobbing, and screams, are an important source of emotional information in social interactions. However, the investigation of how we process these vocal cues entered the research agenda only recently. Here, we introduce a new corpus of nonverbal vocalizations, which we recorded and submitted to perceptual and acoustic validation. It consists of 121 sounds expressing four positive emotions (achievement/triumph, amusement, sensual pleasure, and relief) and four negative ones (anger, disgust, fear, and sadness), produced by two female and two male speakers. For perceptual validation, a forced choice task was used (n = 20), and ratings were collected for the eight emotions, valence, arousal, and authenticity (n = 20). We provide these data, detailed for each vocalization, for use by the research community. High recognition accuracy was found for all emotions (86 %, on average), and the sounds were reliably rated as communicating the intended expressions. The vocalizations were measured for acoustic cues related to temporal aspects, intensity, fundamental frequency (f0), and voice quality. These cues alone provide sufficient information to discriminate between emotion categories, as indicated by statistical classification procedures; they are also predictors of listeners’ emotion ratings, as indicated by multiple regression analyses. This set of stimuli seems a valuable addition to currently available expression corpora for research on emotion processing. It is suitable for behavioral and neuroscience research and might as well be used in clinical settings for the assessment of neurological and psychiatric patients. The corpus can be downloaded from Supplementary Materials.

Empathy and Emotional Contagion as a Link Between Recognized and Felt Emotions in Music Listening

Abstract: Previous studies have shown that there is a difference between recognized and induced emotion in music listening. In this study, empathy is tested as a possible moderator between recognition and induction that is, on its own, moderated via music preference evaluations and other individual and situational features. Preference was also tested to determine whether it had an effect on measures of emotion independently from emotional expression. A web-based experiment gathered from 3,164 music listeners emotion, empathy, and preference ratings in a between-subjects design embedded in a music-personality test. Stimuli were a sample of 23 musical excerpts (each 30 seconds long, five randomly assigned to each participant) from various musical styles chosen to represent different emotions and preferences. Listeners in the recognition rating condition rated measures of valence and arousal significantly differently than listeners in the felt rating condition. Empathy ratings were shown to modulate this relationship: when empathy was present, the difference between the two rating types was reduced. Furthermore, we confirmed preference as one major predictor of empathy ratings. Emotional contagion was tested and confirmed as an additional direct effect of emotional expression on induced emotions. This study is among the first to explicitly test empathy and emotional contagion during music listening, helping to explain the often-reported emotional response to music in everyday life.

Music, emotion, and time perception: the influence of subjective emotional valence and arousal?

Abstract: The present study used a temporal bisection task with short ( 2 s) stimulus durations to investigate the effect on time estimation of several musical parameters associated with emotional changes in affective valence and arousal. In order to manipulate the positive and negative valence of music, Experiments 1 and 2 contrasted the effect of musical structure with pieces played normally and backwards, which were judged to be pleasant and unpleasant, respectively. This effect of valence was combined with a subjective arousal effect by changing the tempo of the musical pieces (fast vs. slow) (Experiment 1) or their instrumentation (orchestral vs. piano pieces). The musical pieces were indeed judged more arousing with a fast than with a slow tempo and with an orchestral than with a piano timbre. In Experiment 3, affective valence was also tested by contrasting the effect of tonal (pleasant) versus atonal (unpleasant) versions of the same musical pieces. The results showed that the effect of tempo in music, associated with a subjective arousal effect, was the major factor that produced time distortions with time being judged longer for fast than for slow tempi. When the tempo was held constant, no significant effect of timbre on the time judgment was found although the orchestral music was judged to be more arousing than the piano music. Nevertheless, emotional valence did modulate the tempo effect on time perception, the pleasant music being judged shorter than the unpleasant music.

Multivariate pattern classification reveals autonomic and experiential representations of discrete emotions.

Abstract: Defining the structural organization of emotions is a central unresolved question in affective science. In particular, the extent to which autonomic nervous system activity signifies distinct affective states remains controversial. Most prior research on this topic has used univariate statistical approaches in attempts to classify emotions from psychophysiological data. In the present study, electrodermal, cardiac, respiratory, and gastric activity, as well as self-report measures were taken from healthy subjects during the experience of fear, anger, sadness, surprise, contentment, and amusement in response to film and music clips. Information pertaining to affective states present in these response patterns was analyzed using multivariate pattern classification techniques. Overall accuracy for classifying distinct affective states was 58.0% for autonomic measures and 88.2% for self-report measures, both of which were significantly above chance. Further, examining the error distribution of classifiers revealed that the dimensions of valence and arousal selectively contributed to decoding emotional states from self-report, whereas a categorical configuration of affective space was evident in both self-report and autonomic measures. Taken together, these findings extend recent multivariate approaches to study emotion and indicate that pattern classification tools may improve upon univariate approaches to reveal the underlying structure of emotional experience and physiological expression.

Levels of valence.

Abstract: The distinction between the positive and the negative is fundamental in our emotional life. In appraisal theories, in particular in the component process model of emotion (Scherer, 1984, 2010), qualitatively different types of valence are proposed based on appraisals of (un)pleasantness, goal obstructiveness/conduciveness, low or high power, self- (in)congruence, and moral badness/goodness. This multifaceted conceptualization of valence is highly compatible with the frequent observation of mixed feelings in real life. However, it seems to contradict the one-dimensional conceptualization of valence often encountered in psychological theories, and the notion of valence as a common currency used to explain choice behavior. Here, we propose a framework to integrate the seemingly disparate conceptualizations of multifaceted valence and one-dimensional valence by suggesting that valence should be conceived at different levels, micro and macro. Micro-valences correspond to qualitatively different types of evaluations, potentially resulting in mixed feelings, whereas one-dimensional macro-valence corresponds to an integrative “common currency” to compare alternatives for choices. We propose that conceptualizing levels of valence may focus research attention on the mechanisms that relate valence at one level (micro) to valence at another level (macro), leading to new hypotheses and addressing various concerns that have been raised about the valence concept, such as the valence-emotion relation.