Showing papers on "Valence (psychology) published in 2016"
TL;DR: The hypothesis that, at the level of brain activity measurable by fMRI, valence is flexibly implemented across instances by a set of valence-general limbic and paralimbic brain regions is supported.
Abstract: The ability to experience pleasant or unpleasant feelings or to represent objects as "positive" or "negative" is known as representing hedonic "valence." Although scientists overwhelmingly agree that valence is a basic psychological phenomenon, debate continues about how to best conceptualize it scientifically. We used a meta-analysis of 397 functional magnetic resonance imaging (fMRI) and positron emission tomography studies (containing 914 experimental contrasts and 6827 participants) to test 3 competing hypotheses about the brain basis of valence: the bipolarity hypothesis that positive and negativeaffectaresupportedbyabrainsystemthatmonotonicallyincreasesand/ordecreasesalongthevalencedimension,the bivalent hypothesis that positive and negative affect are supported by independent brain systems, and the affective workspace hypothesis that positive and negative affect are supported by a flexible set of valence-general regions. We found little evidence for the bipolar or bivalent hypotheses. Findings instead supported the hypothesis that, at the level of brain activity measurable by fMRI, valence is flexibly implemented across instances by a set of valence-general limbic and paralimbic brain regions.
459 citations
TL;DR: The effect of the contamination of facial muscle activities on EEG signals is analyzed and it is found that most of the emotionally valuable content in EEG features are as a result of this contamination, however, the statistical analysis showed that EEG signals still carry complementary information in presence of facial expressions.
Abstract: Emotions are time varying affective phenomena that are elicited as a result of stimuli. Videos and movies in particular are made to elicit emotions in their audiences. Detecting the viewers’ emotions instantaneously can be used to find the emotional traces of videos. In this paper, we present our approach in instantaneously detecting the emotions of video viewers’ emotions from electroencephalogram (EEG) signals and facial expressions. A set of emotion inducing videos were shown to participants while their facial expressions and physiological responses were recorded. The expressed valence (negative to positive emotions) in the videos of participants’ faces were annotated by five annotators. The stimuli videos were also continuously annotated on valence and arousal dimensions. Long-short-term-memory recurrent neural networks (LSTM-RNN) and continuous conditional random fields (CCRF) were utilized in detecting emotions automatically and continuously. We found the results from facial expressions to be superior to the results from EEG signals. We analyzed the effect of the contamination of facial muscle activities on EEG signals and found that most of the emotionally valuable content in EEG features are as a result of this contamination. However, our statistical analysis showed that EEG signals still carry complementary information in presence of facial expressions.
423 citations
TL;DR: Cultural differences exist in some aspects of emotions, one such important aspect of emotion being emotional arousal level, and mechanism of these cross-cultural differences and implications are discussed.
Abstract: Whether emotion is universal or social is a recurrent issue in the history of emotion study among psychologists. Some researchers view emotion as a universal construct, and that a large part of emotional experience is biologically based. However, emotion is not only biologically determined, but is also influenced by the environment. Therefore, cultural differences exist in some aspects of emotions, one such important aspect of emotion being emotional arousal level. All affective states are systematically represented as two bipolar dimensions, valence and arousal. Arousal level of actual and ideal emotions has consistently been found to have cross-cultural differences. In Western or individualist culture, high arousal emotions are valued and promoted more than low arousal emotions. Moreover, Westerners experience high arousal emotions more than low arousal emotions. By contrast, in Eastern or collectivist culture, low arousal emotions are valued more than high arousal emotions. Moreover, people in the East actually experience and prefer to experience low arousal emotions more than high arousal emotions. Mechanism of these cross-cultural differences and implications are also discussed.
263 citations
TL;DR: Four studies are presented that validate a new instrument, the Discrete Emotions Questionnaire (DEQ), that is sensitive to eight distinct state emotions: anger, disgust, fear, anxiety, sadness, happiness, relaxation, and desire.
Abstract: Several discrete emotions have broad theoretical and empirical importance, as shown by converging evidence from diverse areas of psychology, including facial displays, developmental behaviors, and neuroscience. However, the measurement of these states has not progressed along with theory, such that when researchers measure subjectively experienced emotions, they commonly rely on scales assessing broad dimensions of affect (positivity and negativity), rather than discrete emotions. The current manuscript presents four studies that validate a new instrument, the Discrete Emotions Questionnaire (DEQ), that is sensitive to eight distinct state emotions: anger, disgust, fear, anxiety, sadness, happiness, relaxation, and desire. Emotion theory supporting the importance of distinguishing these specific emotions is reviewed.
263 citations
TL;DR: Findings from pattern analyses of neuroimaging data show that affective dimensions and emotion categories are uniquely represented in the activity of distributed neural systems that span cortical and subcortical regions.
229 citations
TL;DR: It is suggested that, when watching videos that induce an emotional response, men often have more intense emotional experiences, whereas women have higher emotional expressivity, particularly for negative emotions.
Abstract: The present study investigated gender differences in both emotional experience and expressivity. Heart rate (HR) was recorded as an indicator of emotional experience while the participants watched 16 video clips that induced eight types of emotion (sadness, anger, horror, disgust, neutrality, amusement, surprise, and pleasure). We also asked the participants to report valence, arousal, and motivation as indicators of emotional expressivity. Overall, the results revealed gender differences in emotional experience and emotional expressivity. When watching videos that induced anger, amusement, and pleasure, men showed larger decreases in HR, whereas women reported higher levels of arousal. There was no gender difference in HR when the participants watched videos that induced horror and disgust, but women reported lower valence, higher arousal, and stronger avoidance motivation than did men. Finally, no gender difference was observed in sadness or surprise, although there was one exception-women reported higher arousal when watching videos that induced sadness. The findings suggest that, when watching videos that induce an emotional response, men often have more intense emotional experiences, whereas women have higher emotional expressivity, particularly for negative emotions. In addition, gender differences depend on the specific emotion type but not the valence.
217 citations
TL;DR: It is demonstrated that dogs can extract and integrate bimodal sensory emotional information, and discriminate between positive and negative emotions from both humans and dogs.
Abstract: The perception of emotional expressions allows animals to evaluate the social intentions and motivations of each other. This usually takes place within species; however, in the case of domestic dogs, it might be advantageous to recognize the emotions of humans as well as other dogs. In this sense, the combination of visual and auditory cues to categorize others' emotions facilitates the information processing and indicates high-level cognitive representations. Using a cross-modal preferential looking paradigm, we presented dogs with either human or dog faces with different emotional valences (happy/playful versus angry/aggressive) paired with a single vocalization from the same individual with either a positive or negative valence or Brownian noise. Dogs looked significantly longer at the face whose expression was congruent to the valence of vocalization, for both conspecifics and heterospecifics, an ability previously known only in humans. These results demonstrate that dogs can extract and integrate bimodal sensory emotional information, and discriminate between positive and negative emotions from both humans and dogs.
209 citations
TL;DR: Evidence is reviewed suggesting that different rules and mechanisms underlie learning from desirable and undesirable information, which generates a positive bias for self-relevant beliefs and describes the boundaries of this asymmetry.
200 citations
TL;DR: It is concluded that facial expression recognition, as it has been investigated in conventional laboratory tasks, depends to a greater extent on perceptual than affective information and mechanisms.
Abstract: Facial expressions of emotion involve a physical component of morphological changes in a face and an affective component conveying information about the expresser’s internal feelings. It remains unresolved how much recognition and discrimination of expressions rely on the perception of morphological patterns or the processing of affective content. This review of research on the role of visual and emotional factors in expression recognition reached three major conclusions. First, behavioral, neurophysiological, and computational measures indicate that basic expressions are reliably recognized and discriminated from one another, albeit the effect may be inflated by the use of prototypical expression stimuli and forced-choice responses. Second, affective content along the dimensions of valence and arousal is extracted early from facial expressions, although this coarse affective representation contributes minimally to categorical recognition of specific expressions. Third, the physical configuration and visu...
172 citations
TL;DR: It is argued that, alongside assessments of the affective valence of social media content as negative or positive, there is a need for a deeper understanding of the context in which reactions are expressed and the specific functions that users' emotional states may reflect.
158 citations
TL;DR: The data questions the widely held view that 6 facial expression patterns are universal, instead suggesting 4 latent expressive patterns with direct implications for emotion communication, social psychology, cognitive neuroscience, and social robotics.
Abstract: As a highly social species, humans generate complex facial expressions to communicate a diverse range of emotions. Since Darwin's work, identifying among these complex patterns which are common across cultures and which are culture-specific has remained a central question in psychology, anthropology, philosophy, and more recently machine vision and social robotics. Classic approaches to addressing this question typically tested the cross-cultural recognition of theoretically motivated facial expressions representing 6 emotions, and reported universality. Yet, variable recognition accuracy across cultures suggests a narrower cross-cultural communication supported by sets of simpler expressive patterns embedded in more complex facial expressions. We explore this hypothesis by modeling the facial expressions of over 60 emotions across 2 cultures, and segregating out the latent expressive patterns. Using a multidisciplinary approach, we first map the conceptual organization of a broad spectrum of emotion words by building semantic networks in 2 cultures. For each emotion word in each culture, we then model and validate its corresponding dynamic facial expression, producing over 60 culturally valid facial expression models. We then apply to the pooled models a multivariate data reduction technique, revealing 4 latent and culturally common facial expression patterns that each communicates specific combinations of valence, arousal, and dominance. We then reveal the face movements that accentuate each latent expressive pattern to create complex facial expressions. Our data questions the widely held view that 6 facial expression patterns are universal, instead suggesting 4 latent expressive patterns with direct implications for emotion communication, social psychology, cognitive neuroscience, and social robotics. (PsycINFO Database Record
01 Jun 2016
TL;DR: A new data set of 2895 Social Media posts rated by two psychologicallytrained annotators on two separate ordinal nine-point scales, which defines each post’s position on the circumplex model of affect, a well-established system for describing emotional states.
Abstract: Access to expressions of subjective personal posts increased with the popularity of Social Media. However, most of the work in sentiment analysis focuses on predicting only valence from text and usually targeted at a product, rather than affective states. In this paper, we introduce a new data set of 2895 Social Media posts rated by two psychologicallytrained annotators on two separate ordinal nine-point scales. These scales represent valence (or sentiment) and arousal (or intensity), which defines each post’s position on the circumplex model of affect, a well-established system for describing emotional states (Russell, 1980; Posner et al., 2005). The data set is used to train prediction models for each of the two dimensions from text which achieve high predictive accuracy – correlated at r = .65 with valence and r = .85 with arousal annotations. Our data set offers a building block to a deeper study of personal affect as expressed in social media. This can be used in applications such as mental illness detection or in automated large-scale psychological studies.
TL;DR: This article proposed a holistic framework formed by four kinds of anticipated emotions (AEs) resulting from the crossing of positive- or negative-valenced emotions with action or inaction, and found that consumers under a purchase scenario tend to consider positive and negative AEs of both purchase and non-purchase in their decisions.
Abstract: Key personal inputs to decision making reside in expectations about whether a purchase or nonpurchase will make one feel better. Integrating several theoretical approaches, this research proposes a holistic framework formed by four kinds of anticipated emotions (AEs) resulting from the crossing of positive- or negative-valenced emotions with action or inaction. Specifically, this research proposes that consumers under a purchase scenario tend to consider positive and negative AEs of both purchase and nonpurchase in their decisions. Research in this area to date has been sparse and focused mostly on AEs with regard to purchase, but not nonpurchase. The results of four studies confirm that AEs influence purchase decisions in a coordinated way depending on their instrumentality, motivating purchase or nonpurchase. AEs also partially mediate the effect of outcome valence on purchase decisions. Taking the status quo bias as a theoretical basis, this work proposes that the amount of information of favorable and unfavorable outcome messages has a greater influence on AEs motivating purchase than AEs motivating nonpurchase. Finally, future research lines are proposed to expand the use of this fourfold framework and more generally to understand the role of forward-looking emotions in decision processes.
TL;DR: Comparisons of pictures and films in terms of their capacity to induce emotions verified by means of explicit measures revealed that the film clips and 3-picture version were as effective as the classical 1-picture method to elicit positive emotions, however, modulation toward positive valence was little.
Abstract: Pictures and film clips are widely used and accepted stimuli to elicit emotions. Based on theoretical arguments it is often assumed that the emotional effects of films exceed those of pictures, but to date this assumption has not been investigated directly. The aim of the present study was to compare pictures and films in terms of their capacity to induce emotions verified by means of explicit measures. Stimuli were (a) single pictures presented for 6 s, (b) a set of three consecutive pictures with emotionally congruent contents presented for 2 s each, (c) short film clips with a duration of 6 s. A total of 144 participants rated their emotion and arousal states following stimulus presentation. Repeated-measures ANOVAs revealed that the film clips and 3-picture version were as effective as the classical 1-picture method to elicit positive emotions, however, modulation towards positive valence was little. Modulation toward negative valence was more effective in general. Film clips were less effective than pictorial stimuli in producing the corresponding emotion states (all p < .001) and were less arousing (all p ≤ .02). Possible reasons for these unexpected results are discussed.
TL;DR: This review focuses upon recent work examining the mechanisms of valence encoding, and provides a model for the systematic investigation ofValence within anatomically-, genetically-, and functionally defined populations of neurons.
TL;DR: An overview of the recent achievements in affective haptics is presented and a thorough discussion about the effectiveness of using the haptic channel to communicate affective information through direct and mediated means is provided.
Abstract: Touch plays a prominent role in communicating emotions and intensifying interpersonal communication. Affective haptics is an emerging field, which focuses on the analysis, design, and evaluation of systems that can capture, process, or display emotions through the sense of touch. The objective of this paper is to present an overview of the recent achievements in affective haptics and to discuss how the sense of touch can elicit or influence human emotions. We first introduce a definition to the term affective haptics and describe its multidisciplinary nature—as a field that integrates ideas from affective computing, haptic technology, and user experience. Second, we provide a thorough discussion about the effectiveness of using the haptic channel to communicate affective information through direct and mediated means. Third, we present a variety of applications in the area ranging from interhuman social interaction systems to human robot interaction applications. Finally, we discuss some of the key findings discerned from the various surveyed papers, and present some of the challenges and trends in this field. We extract the following conclusions pertaining to affective haptics: 1) haptic stimulation can be successfully used to achieve a higher level of emotional immersion during media consumption or emotional telepresence; 2) existing research has demonstrated that haptics is effective in communicating valence and arousal, and the emotions of happiness, sadness, anger and fear, and less focus have been given to the communication of disgust and surprise; 3) the haptic-based affect detection remains an understudied topic, whereas the haptic-based affect display is a well-established subject; and 4) the interpretation of the haptic stimulation by human beings is highly contextual.
TL;DR: Results showed that high quality wines were liked more and elicited more intense emotions of positive valence compared to wines of lower quality, indicating it is worthwhile to consider context and emotions in wine testing and marketing.
TL;DR: Valence-based homophily successfully explained the selection of user interactions on Twitter, in terms of expressed emotional valence in their tweets or support versus criticism to an issue, and provides a new understanding of political-issue interactions in a social media context.
Abstract: This study integrates network and content analyses to examine valence-based homophily on Twitter or the tendency for individuals to interact with those expressing similar valence. During the 2012 federal election cycle, we collected Twitter conversations about 10 controversial political topics and mapped their network ties. Using network analysis, we discovered clusters—subgroups of highly self-connected users—and coded messages in each cluster for their expressed positive-to-negative emotional valence, level of support or opposition, and political leaning. We found that valence-based homophily successfully explained the selection of user interactions on Twitter, in terms of expressed emotional valence in their tweets or support versus criticism to an issue. It also finds conservative voices to be associated with negatively valenced clusters and vice versa. This study expands the theory of homophily beyond its traditional conceptualization and provides a new understanding of political-issue interactions i...
TL;DR: The results suggest that the emotional responses induced by unfamiliar sad music could be characterized in terms of three underlying factors: Relaxing sadness, Moving sadness, and Nervous sadness.
Abstract: The paradox of enjoying listening to music that evokes sadness is yet to be fully understood. Unlike prior studies that have explored potential explanations related to lyrics, memories, and mood regulation, we investigated the types of emotions induced by unfamiliar, instrumental sad music, and whether these responses are consistently associated with certain individual difference variables. One hundred and two participants were drawn from a representative sample to minimise self-selection bias. The results suggest that the emotional responses induced by unfamiliar sad music could be characterized in terms of three underlying factors: Relaxing sadness, Moving sadness, and Nervous sadness. Relaxing sadness was characterized by felt and perceived peacefulness and positive valence. Moving sadness captured an intense experience that involved feelings of sadness and being moved. Nervous sadness was associated with felt anxiety, perceived scariness and negative valence. These interpretations were supported by indirect measures of felt emotion. Experiences of Moving sadness were strongly associated with high trait empathy and emotional contagion, but not with other previously suggested traits such as absorption or nostalgia-proneness. Relaxing sadness and Nervous sadness were not significantly predicted by any of the individual difference variables. The findings are interpreted within a theoretical framework of embodied emotions.
TL;DR: New affective norms for a new set of Spanish words that were scored on two emotional dimensions (valence and arousal) and on five discrete emotional categories, as well as on concreteness, by 660 Spanish native speakers are introduced.
Abstract: In the present study, we introduce affective norms for a new set of Spanish words, the Madrid Affective Database for Spanish (MADS), that were scored on two emotional dimensions (valence and arousal) and on five discrete emotional categories (happiness, anger, sadness, fear, and disgust), as well as on concreteness, by 660 Spanish native speakers. Measures of several objective psycholinguistic variables—grammatical class, word frequency, number of letters, and number of syllables—for the words are also included. We observed high split-half reliabilities for every emotional variable and a strong quadratic relationship between valence and arousal. Additional analyses revealed several associations between the affective dimensions and discrete emotions, as well as with some psycholinguistic variables. This new corpus complements and extends prior databases in Spanish and allows for designing new experiments investigating the influence of affective content in language processing under both dimensional and discrete theoretical conceptions of emotion. These norms can be downloaded as supplemental materials for this article from www.dropbox.com/s/o6dpw3irk6utfhy/Hinojosa%20et%20al_Supplementary%20materials.xlsx?dl=0.
TL;DR: The general conclusion is suggested that attentional capture by irrelevant emotional distractors depends on both their valence and the level of perceptual load in the task and highlights the special status of distractors associated with pleasure.
Abstract: We report 3 experiments examining the effects of positive versus negative valence and perceptual load in determining attention capture by irrelevant emotional distractors. Participants performed a letter search task searching for 1 of 2 target letters (X or N) in conditions of either low perceptual load (circular nontarget letters) or high perceptual load (angular nontarget letters that are similar to the target letters). On 25% of the trials an irrelevant emotional distractor was presented at the display center and participants were instructed to ignore it. The distractor stimulus was either positive or negative and was selected from 3 different classes: IAPS pictures of erotica or mutilated bodies (Experiment 1), happy or angry faces (Experiment 2), and faces associated with gain or loss in a prior value-learning phase involving a betting game (Experiment 3). The results showed a consistent pattern of interaction of load and valence across the 3 experiments. Irrelevant emotional distractors produced interference effects on search reaction time (RT) in conditions of low load, with no difference between negative and positive valence. High perceptual load, however, consistently reduced interference from the negative-valence distractors, but had no effect on the positive-valence distractors. As these results were consistently found across 3 different categories of emotional distractors, they suggest the general conclusion that attentional capture by irrelevant emotional distractors depends on both their valence and the level of perceptual load in the task and highlight the special status of distractors associated with pleasure.
TL;DR: In this paper, the authors examined four groups of decorative pictures which might be conducive for learning and found that either positively valenced pictures or learning pictures foster retention and transfer performance, and that the dimensions of pleasure, arousal, and dominance are examined as possible mediators.
07 May 2016
TL;DR: In this article, the authors mapped subjective ratings of a range of thermal stimuli to the circumplex model to understand the range of emotions that might be conveyed through thermal feedback, and compared the goodness of fit of ratings between the Circumplex and vector models of emotion.
Abstract: There are inherent associations between temperature and emotion in language, cognition and subjective experience [22,42]. However, there exists no systematic mapping of thermal feedback to models of emotion that could be used by designers and users to convey a range of emotions in HCI. A common way of classifying emotions and quantifying emotional experience is through ratings along valence and arousal dimensions, originating from Russell's circumplex model [32]. Therefore, the research in this paper mapped subjective ratings of a range of thermal stimuli to the circumplex model to understand the range of emotions that might be conveyed through thermal feedback. However, as the suitability of the model varies depending on the type of emotional stimuli [31], we also compared the goodness of fit of ratings between the circumplex and vector [8,31] models of emotion. The results showed that thermal feedback was interpreted as representing a limited range of emotions concentrated in just two quadrants or categories of the circumplex: high valence, low arousal and low valence, high arousal. Warm stimuli were perceived as more pleasant/positive than cool stimuli and altering either the rate or extent of temperature change affected both valence and arousal axes simultaneously. The results showed a significantly better fit to a vector model than to the circumplex.
TL;DR: A database that provides subjective ratings for 1,400 Spanish words for valence, arousal, concreteness, imageability, context availability, and familiarity is described, suitable for experimental research into the effects of both affective properties and lexico-semantic variables on word processing and memory.
Abstract: Studies of semantic variables (e.g., concreteness) and affective variables (i.e., valence and arousal) have traditionally tended to run in different directions. However, in recent years there has been growing interest in studying the relationship, as well as the potential overlaps, between the two. This article describes a database that provides subjective ratings for 1,400 Spanish words for valence, arousal, concreteness, imageability, context availability, and familiarity. Data were collected online through a process involving 826 university students. The results showed a high interrater reliability for all of the variables examined, as well as high correlations between our affective and semantic values and norms currently available in other Spanish databases. Regarding the affective variables, the typical quadratic correlation between valence and arousal ratings was obtained. Likewise, significant correlations were found between the lexico-semantic variables. Importantly, we obtained moderate negative correlations between emotionality and both concreteness and imageability. This is in line with the claim that abstract words have more affective associations than concrete ones (Kousta, Vigliocco, Vinson, Andrews, & Del Campo, 2011). The present Spanish database is suitable for experimental research into the effects of both affective properties and lexico-semantic variables on word processing and memory.
TL;DR: The ANPW_R norms appeared to be reliable in split-half estimation and congruent with previous normative studies in Polish, and the quadratic relation between valence and arousal was found to be in line with previous findings.
Abstract: In studies that combine understanding of emotions and language, there is growing demand for good-quality experimental materials. To meet this expectation, a large number of 4905 Polish words was assessed by 400 participants in order to provide a well-established research methodfor everyone interested in emotional word processing. The Affective Norms for Polish Words Reloaded (ANPW_R) is designed as an extension to the previously introduced the ANPW dataset and provides assessments for eight different affective and psycholinguistic measures of Valence, Arousal, Dominance, Origin, Significance, Concreteness, Imageability and subjective Age of Acquisition. The ANPW_R is now the largest available dataset of affective words for Polish, including affective scores that have not been measured in any other dataset (concreteness and age of acquisition scales). Additionally, the ANPW_R allows for testing hypotheses concerning dual-mind models of emotion and activation (origin and subjective significance scales). Participants in the current study assessed all 4,905 words in the list within one week, at their own pace in home sessions, using eight different Self-assessment Manikin (SAM) scales. Each measured dimension was evaluated by 25 women and 25 men. The ANPW_R norms appeared to be reliable in split-half estimation and congruent with previous normative studies in Polish. The quadratic relation between valence and arousal was found to be in line with previous findings. In addition, nine other relations appeared to be better described by quadratic instead of linear function. The ANPW_R provides well-established research materials for use in psycholinguistic and affective studies in Polish-speaking samples.
TL;DR: The spatial arrangement method (SpAM) is validated as a similarity measure and data support a general valence asymmetry in similarity, namely that good is more alike than bad.
Abstract: The density hypothesis (Unkelbach, Fiedler, Bayer, Stegmuller, & Danner, 2008) claims a general higher similarity of positive information to other positive information compared with the similarity of negative information to other negative information. This similarity asymmetry might explain valence asymmetries on all levels of cognitive processing. The available empirical evidence for this general valence asymmetry in similarity suffers from a lack of direct tests, low representativeness, and possible confounding variables (e.g., differential valence intensity, frequency, familiarity, or concreteness of positive and negative stimuli). To address these problems, Study 1 first validated the spatial arrangement method (SpAM) as a similarity measure. Using SpAM, Studies 2-6 found the proposed valence asymmetry in large, representative samples of self- and other-generated words (Studies 2a/2b), for words of consensual and idiosyncratic valence (Study 3), for words from 1 and many independent information sources (Study 4), for real-life experiences (Study 5), and for large data sets of verbal (i.e., ∼14,000 words reported by Warriner, Kuperman, & Brysbaert, 2013) and visual information (i.e., ∼1,000 pictures reported in the IAPS; Lang, Bradley, & Cuthbert, 2005; Study 6). Together, these data support a general valence asymmetry in similarity, namely that good is more alike than bad. (PsycINFO Database Record
TL;DR: Arousal correlated positively with figurativeness (supporting the idea that figurative expressions are more emotionally engaging than literal expressions) and with concreteness and semantic transparency and suggests that idioms may convey a more direct reference to sensory representations, mediated by the meanings of their constituting words.
Abstract: Despite flourishing research on the relationship between emotion and literal language, and despite the pervasiveness of figurative expressions in communication, the role of figurative language in conveying affect has been underinvestigated. This study provides affective and psycholinguistic norms for 619 German idiomatic expressions and explores the relationships between affective and psycholinguistic idiom properties. German native speakers rated each idiom for emotional valence, arousal, familiarity, semantic transparency, figurativeness, and concreteness. They also described the figurative meaning of each idiom and rated how confident they were about the attributed meaning. The results showed that idioms rated high in valence were also rated high in arousal. Negative idioms were rated as more arousing than positive ones, in line with results from single words. Furthermore, arousal correlated positively with figurativeness (supporting the idea that figurative expressions are more emotionally engaging than literal expressions) and with concreteness and semantic transparency. This suggests that idioms may convey a more direct reference to sensory representations, mediated by the meanings of their constituting words. Arousal correlated positively with familiarity. In addition, positive idioms were rated as more familiar than negative idioms. Finally, idioms without a literal counterpart were rated as more emotionally valenced and arousing than idioms with a literal counterpart. Although the meanings of ambiguous idioms were less correctly defined than those of unambiguous idioms, ambiguous idioms were rated as more concrete than unambiguous ones. We also discuss the relationships between the various psycholinguistic variables characterizing idioms, with reference to the literature on idiom structure and processing.
TL;DR: Results indicate overgeneralization of conditioned fear as a developmental correlate of fear learning in children is likely related to the maturation of brain structures that modulate efficient discrimination between danger and (ambiguous) safety cues.
Abstract: Most research on human fear conditioning and its generalization has focused on adults whereas only little is known about these processes in children. Direct comparisons between child and adult populations are needed to determine developmental risk markers of fear and anxiety. We compared 267 children and 285 adults in a differential fear conditioning paradigm and generalization test. Skin conductance responses (SCR) and ratings of valence and arousal were obtained to indicate fear learning. Both groups displayed robust and similar differential conditioning on subjective and physiological levels. However, children showed heightened fear generalization compared to adults as indexed by higher arousal ratings and SCR to the generalization stimuli. Results indicate overgeneralization of conditioned fear as a developmental correlate of fear learning. The developmental change from a shallow to a steeper generalization gradient is likely related to the maturation of brain structures that modulate efficient discrimination between danger and (ambiguous) safety cues.
TL;DR: The results of this fMRI study support a model treating ambivalence and certainty as distinct, though related, attitude strength variables, and discuss implications for both attitudes and neuroscience research.
Abstract: People's behaviors are often guided by valenced responses to objects in the environment. Beyond positive and negative evaluations, attitudes research has documented the importance of attitude strength--qualities of an attitude that enhance or attenuate its impact and durability. Although neuroscience research has extensively investigated valence, little work exists on other related variables like metacognitive judgments about one's attitudes. It remains unclear, then, whether the various indicators of attitude strength represent a single underlying neural process or whether they reflect independent processes. To examine this, we used functional MRI (fMRI) to identify the neural correlates of attitude strength. Specifically, we focus on ambivalence and certainty, which represent metacognitive judgments that people can make about their evaluations. Although often correlated, prior neuroscience research suggests that these 2 attributes may have distinct neural underpinnings. We investigate this by having participants make evaluative judgments of visually presented words while undergoing fMRI. After scanning, participants rated the degree of ambivalence and certainty they felt regarding their attitudes toward each word. We found that these 2 judgments corresponded to distinct brain regions' activity during the process of evaluation. Ambivalence corresponded to activation in anterior cingulate cortex, dorsomedial prefrontal cortex, and posterior cingulate cortex. Certainty, however, corresponded to activation in unique areas of the precuneus/posterior cingulate cortex. These results support a model treating ambivalence and certainty as distinct, though related, attitude strength variables, and we discuss implications for both attitudes and neuroscience research.
TL;DR: This article explored the influence of the public's negative comments regarding a corporate social responsibility (CSR) campaign in social media and how to best respond to them and found that 2-sided CSR responses are more effective than 1-sided responses in enhancing altruistic motives for CSR, reducing perceived negativity in the public comments, and eliciting favorable attitudes, especially when comments were negative.
Abstract: This study explores the influence of the public's negative comments regarding a corporate social responsibility (CSR) campaign in social media and how to best respond to them. It examined the interaction effects of comment valence and the company's response sidedness on the public's attitudes as mediated by the perceived negativity and perceived altruism. Results revealed that 2-sided CSR responses are more effective than 1-sided responses in enhancing altruistic motives for CSR, reducing perceived negativity in the public's comments, and eliciting favorable attitudes, especially when comments were negative. The effects of message sidedness disappeared when the public's comments were positive. Results also showed that perceived altruism and negativity mediate the effects of message strategies on the public's attitudes toward the company.