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1
Bauer, Karen. "Emotion in the Qur'an: An Overview." Journal of Qur'anic Studies 19, no. 2 (June 2017): 1–30. http://dx.doi.org/10.3366/jqs.2017.0282.
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In the Western academic study of the Qur'an, very little has been written about emotion. The studies that do acknowledge the power of emotion tend to concentrate on emotion as a response to the text's aesthetics. And yet emotion is a central part of the Qur'an: fostering the correct emotions is a part of pietistic practice, emotion helps to convince believers to act as they should, and emotional words and incidents bring unity to this synoptic text. This article has four parts. It begins by reviewing approaches that have been taken in History and Biblical studies, in order to clarify the nature of emotions. I argue that emotions are universal but that they have socially constructed elements and a social function. Also, control of emotions can be as revealing as emotional expression. Part Two describes the overall message of emotions in the Qur'an. Humans must cultivate God-fearingness, while God bestows mercy/compassion and love, or anger and displeasure. Believers are distinguished by their emotional sensitivity to God's word, and their ability to form an emotional attachment to God, and thus emotional control is a key pietistic practice. In Part Three, I propose a new method for analysing emotion within Qur'anic suras, which is to trace emotional plots. This method involves identifying the emotional journey undertaken or described in a passage of text. Part Four examines the resonance that is created by the use of specific emotion words in different suras.
2
Brito, Pedro Quelhas, Sandra Torres, and Jéssica Fernandes. "What kind of emotions do emoticons communicate?" Asia Pacific Journal of Marketing and Logistics 32, no. 7 (December 10, 2019): 1495–517. http://dx.doi.org/10.1108/apjml-03-2019-0136.
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Purpose The purpose of this paper is to study the nature and concept of emoticons/emojis. Instead of taking for granted that these user-generated formats are necessarily emotional, we empirically assessed in what extent are they and the specificity of each one. Drawing on congruent mood state, valence core and emotion appraisal theories we expected a compatible statistical association between positive/negative/neutral emotional valence expressions and emoticons of similar valence. The positive emoticons were consistently associated with positive valence posts. Added to that analysis, 21 emotional categories were identified in posts and correlated with eight emoticons. Design/methodology/approach Two studies were used to address this question. The first study defined emoticon concept and interpreted their meaning highlighting their communication goals and anticipated effects. The link between emojis and emoticons was also obtained. Some emoticons types present more ambiguity than others. In the second study, three years of real and private (Facebook) posts from 82 adolescents were content analyzed and coded. Findings Only the neutral emoticons always matched neutral emotional categories found in the written interaction. Although the emoticon valence and emotional category congruence pattern was the rule, we also detected a combination of different valence emoticons types and emotion categories valence expressions. Apparently the connection between emoticon and emotion are not so obviously straightforward as the literature used to assume. The created objects designed to communicate emotions (emoticons) have their specific corresponding logic with the emotional tone of the message. Originality/value Theoretically, we discussed the emotional content of emoticons/emojis. Although this king of signals have an Asian origin and later borrowed from the western countries, their ambiguity and differing specificity have never been analyzed.
3
Gabrielsson, Alf. "Emotion perceived and emotion felt: Same or different?" Musicae Scientiae 5, no. 1_suppl (September 2001): 123–47. http://dx.doi.org/10.1177/10298649020050s105.
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A distinction is made between emotion perception, that is, to perceive emotional expression in music without necessarily being affected oneself, and emotion induction, that is, listeners’ emotional response to music. This distinction is not always observed, neither in everyday conversation about emotions, nor in scientific papers. Empirical studies of emotion perception are briefly reviewed with regard to listener agreement concerning expressed emotions, followed by a selective review of empirical studies on emotional response to music. Possible relationships between emotion perception and emotional response are discussed and exemplified: positive relationship, negative relationship, no systematic relationship and no relationship. It is emphasised that both emotion perception and, especially, emotional response are dependent on an interplay between musical, personal, and situational factors. Some methodological questions and suggestions for further research are discussed.
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Sahib, Rizwan. "Emotion Work in Tabligh Jama’at Texts." Religions 13, no. 7 (July 7, 2022): 632. http://dx.doi.org/10.3390/rel13070632.
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This study examines the emotional dynamics of the written and oral texts of Tabligh Jama’at—respectively, Faza’il-e-A’maal (Virtues of Good Deeds) and bayan (religious sermon). In them, the study identifies emotion work—the attempt to generate certain emotions. The study discusses how the texts’ emotion work relates to Tablighi discursive ideology (framing) and also posits several emotions that the emotion work might generate. From these findings, the study offers the idea that Tablighi emotion work contributes to transforming Muslims’ emotional sphere by attaching them emotionally to ultimate religious concerns. By enchanting Muslims’ emotional sphere and attaching Muslims to Islamic social actors, values, practices, and Islamic revivalist goals, Tablighi emotion work contributes to the social transformation of individuals and society.
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Merlina, Tina, Lia Maulia, and Rosaria Mita Amalia. "Verbal and Visual Expression of Emotions on Kaskus: a Semiotic Study." MIMBAR, Jurnal Sosial dan Pembangunan 29, no. 1 (June 20, 2013): 85. http://dx.doi.org/10.29313/mimbar.v29i1.373.
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This research investigates the types of emoticons which occured on Kaskus. This is a qualitative research. The writer take the data from Kaskus, therefore it is a forum in the internet which has grown to be one of the most popular websites in Indonesia. To identify the types of Emotions on Kaskus, the writer analyzed the data using Ekman (2003) . From the discussions, there are verbal and non verbal sign in the emoticons that appear on Kaskus. The meaning of verbal sign and nonverbal sign in emoticon “marah” represents anger emotion. Emoticon “Ngakak” and “thumbup” represent enjoyable emotion. Emoticon “Sorry” and “Cool” represent sadness emotion. For future studies need to be conducted with an increased sample by using another media such as Whatsapp, YM, etc.
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Phan, K. Luan, Tor D. Wager, Stephan F. Taylor, and Israel Liberzon. "Functional Neuroimaging Studies of Human Emotions." CNS Spectrums 9, no. 4 (April 2004): 258–66. http://dx.doi.org/10.1017/s1092852900009196.
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ABSTRACTNeuroimaging studies with positron emission tomography and functional magnetic resonance imaging have begun to describe the functional neuroanatomy of human emotion. Taken separately, specific studies vary in task dimensions and in type(s) of emotion studied, and are limited by statistical power and sensitivity. By examining findings across studies in a meta-analysis, we sought to determine if common or segregated patterns of activations exist in different emotions and across various emotional tasks. We surveyed over 55 positron emission tomography and functional magnetic resonance imaging activation studies, which investigated emotion in healthy subjects. This paper will review observations in several regions of interest in limbic (eg, amygdala, anterior cingulate cortex) and paralimbic (eg, medial prefrontal cortex, insula) brain regions in emotional responding.
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Liao, Songyang, Katsuaki Sakata, and Galina V. Paramei. "Color Affects Recognition of Emoticon Expressions." i-Perception 13, no. 1 (January 2022): 204166952210807. http://dx.doi.org/10.1177/20416695221080778.
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In computer-mediated communication, emoticons are conventionally rendered in yellow. Previous studies demonstrated that colors evoke certain affective meanings, and face color modulates perceived emotion. We investigated whether color variation affects the recognition of emoticon expressions. Japanese participants were presented with emoticons depicting four basic emotions (Happy, Sad, Angry, Surprised) and a Neutral expression, each rendered in eight colors. Four conditions (E1–E4) were employed in the lab-based experiment; E5, with an additional participant sample, was an online replication of the critical E4. In E1, colored emoticons were categorized in a 5AFC task. In E2–E5, stimulus affective meaning was assessed using visual scales with anchors corresponding to each emotion. The conditions varied in stimulus arrays: E2: light gray emoticons; E3: colored circles; E4 and E5: colored emoticons. The affective meaning of Angry and Sad emoticons was found to be stronger when conferred in warm and cool colors, respectively, the pattern highly consistent between E4 and E5. The affective meaning of colored emoticons is regressed to that of achromatic expression counterparts and decontextualized color. The findings provide evidence that affective congruency of the emoticon expression and the color it is rendered in facilitates recognition of the depicted emotion, augmenting the conveyed emotional message.
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Ben-Artzi, Elisheva, and Mario Mikulincer. "Lay Theories of Emotion: 4. Reactions to Negative and Positive Emotional Episodes." Imagination, Cognition and Personality 16, no. 1 (September 1996): 89–113. http://dx.doi.org/10.2190/1kfw-fpr5-vep9-yq61.
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Seven studies assessed the relation between lay theories of emotion (“threat” and “benefit” appraisal) and cognitions and behaviors in positive and negative emotional episodes. Studies 1 and 2 examined such a relation via the assessment of the habitual cognitions and behaviors persons evince in negative (Study 1) and positive emotional states. Studies 3 through 7 assessed whether and how appraisals of emotion affect some frequently observed cognitive-behavioral consequences of positive and negative affect induction, such as self-focused off-task cognitions, causal attribution, helping behavior, optimism, and creativity. Threat appraisal of emotion was related to negative self-evaluation, off-task cognitions, pessimism, and passivity during negative emotions, and to causal search during positive emotions. Benefit appraisal was related to active coping with, and emotional expressiveness of negative emotions and to the generalization of positive emotions to other behavioral-cognitive areas (altruism, optimism, creativity). The results are discussed in terms of a goal approach to emotion and personality.
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Bebko, Genna M., Bobby K. Cheon, Kevin N. Ochsner, and Joan Y. Chiao. "Cultural Differences in Perceptual Strategies Underlying Emotion Regulation." Journal of Cross-Cultural Psychology 50, no. 9 (October 2019): 1014–26. http://dx.doi.org/10.1177/0022022119876102.
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Cultural norms for the experience, expression, and regulation of emotion vary widely between individualistic and collectivistic cultures. Collectivistic cultures value conformity, social harmony, and social status hierarchies, which demand sensitivity and focus to broader social contexts, such that attention is directed to contextual emotion information to effectively function within constrained social roles and suppress incongruent personal emotions. By contrast, individualistic cultures valuing autonomy and personal aspirations are more likely to attend to central emotion information and to reappraise emotions to avoid negative emotional experience. Here we examined how culture affects perceptual strategies employed during emotion regulation, particularly during cognitive reappraisal and emotional suppression. Eye movements were measured while healthy young adult participants viewed negative International Affective Picture System (IAPS) images and regulated emotions by using either strategies of reappraisal (19 Asian American, 21 Caucasian American) or suppression (21 Asian American, 23 Caucasian American). After image viewing, participants rated how negative they felt as a measure of subjective emotional experience. Consistent with prior studies, reappraisers made lower negative valence ratings after regulating emotions than suppressers across both Asian American and Caucasian American groups. Although no cultural variation was observed in subjective emotional experience during emotion regulation, we found evidence of cultural variation in perceptual strategies used during emotion regulation. During middle and late time periods of emotional suppression, Asian American participants made significantly fewer fixations to emotionally salient areas than Caucasian American participants. These results indicate cultural variation in perceptual differences underlying emotional suppression, but not cognitive reappraisal.
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Salice, Alessandro, and Mikko Salmela. "What are emotional mechanisms?" Emotions and Society 4, no. 1 (March 1, 2022): 49–68. http://dx.doi.org/10.1332/263169021x16369909628542.
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The article offers an account of emotional mechanisms (EMs). EMs are claimed to be personal, often unconscious, distinctively patterned, mental processes whereby an emotion of a given kind is transmuted into an emotion of a different kind. After preliminary considerations about emotions as felt evaluations, the article identifies three families of emotional mechanisms. These processes are set in motion when a given emotion (for example, envy, shame or anger) generates feelings of inferiority and/or impotence in the subject resulting in a negative sense of self. These feelings prompt an evaluative reappraisal of the emotion’s intentional target. Based on the reappraisal, the subject comes to feel a different kind of emotion, which does not generate feelings of inferiority and/or impotence. Importantly, the second emotion entails a psychological disposition to be collectivised: the subject seeks confirmation of the revised evaluation by sharing the emotion with others. It is argued that these features set EMs apart from other emotion regulatory processes.
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Vuoskoski, Jonna K., and Tuomas Eerola. "Measuring music-induced emotion." Musicae Scientiae 15, no. 2 (July 2011): 159–73. http://dx.doi.org/10.1177/1029864911403367.
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Most previous studies investigating music-induced emotions have applied emotion models developed in other fields to the domain of music. The aim of this study was to compare the applicability of music-specific and general emotion models – namely the Geneva Emotional Music Scale (GEMS), and the discrete and dimensional emotion models – in the assessment of music-induced emotions. A related aim was to explore the role of individual difference variables (such as personality and mood) in music-induced emotions, and to discover whether some emotion models reflect these individual differences more strongly than others. One hundred and forty-eight participants listened to 16 film music excerpts and rated the emotional responses evoked by the music excerpts. Intraclass correlations and Cronbach alphas revealed that the overall consistency of ratings was the highest in the case of the dimensional model. The dimensional model also outperformed the other two models in the discrimination of music excerpts, and principal component analysis revealed that 89.9% of the variance in the mean ratings of all the scales (in all three models) was accounted for by two principal components that could be labelled as valence and arousal. Personality-related differences were the most pronounced in the case of the discrete emotion model. Personality, mood, and the emotion model used were also associated with the intensity of experienced emotions. Implications for future music and emotion studies are raised concerning the selection of an appropriate emotion model when measuring music-induced emotions.
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Liu, Yawen. "The Colour-Emotion Association." Journal of Education, Humanities and Social Sciences 5 (November 23, 2022): 272–77. http://dx.doi.org/10.54097/ehss.v5i.2912.
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It is suggested that there might be an association between colour and emotion. Most of previous research in this field did not investigate this topic from different perspectives (e.g., interpersonal, subjective). Therefore, this paper reviews several recent studies on the colour-emotion association to demonstrate how their results can specify and deepen the understanding about colour-emotion association. Studies on the subjective feeling of colour found that the effects of colour stimuli are not only determined by hue, but also by a combination of effects from the three dimensions of colour: hue, lightness, and saturation. Other studies explored the relationship between colour and expressive emotion through facial colour to analyse the association in social interaction. They identified the effects of facial colour on emotion interpretation, the recognition of facial emotions, and emoticons (emoji). Additionally, they compared the effects of facial colour with the background colour. Finally, some studies attempted to identify the mechanisms of colour-emotion associations. The mapping between the representational dimensions of colour and emotion revealed colour temperature as a mediator, with cultural and personal differences as secondary associations. Machine learning classifiers also quantified the influence of cultural differences on this relationship. It was suggested that different cultures can share common colour-emotion associations to some extent. Plus, there are specific associations related to each culture. Future studies could advance their research design by controlling colour stimuli in the three dimensions, applying different methods to assess emotional responses, and constructing experimental settings closer to real life. This paper can provide some guidance for future research to examine colour-emotion associations more systematically. It can also give some suggestions to the design of emotion related curriculum at school.
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Bassett, Rodney L., and Peter C. Hill. "The Ace Model of Emotion: Living Jesus Christ While Experiencing Emotions." Journal of Psychology and Theology 26, no. 3 (September 1998): 232–46. http://dx.doi.org/10.1177/009164719802600302.
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This article presents a model that integrates Christian and psychological perspectives on emotion: the ACE model of emotion. This model proposes that all emotions are morally ambidextrous. Any emotion, from anger to love, has the capacity to be experienced in a manner that is pleasing or displeasing to God. The ACE model further assumes that emotions contain three elements: (a) A = arousal or physiological activity, (b) C = cognition, and (c) E = expression. In addition, the model can be considered along two dimensions that determine if an emotion is righteous, sinful, natural, or distorted. The model looks at the emotional “big picture” and may well subsume several previous attempts to integrate psychology and Christianity in terms of specific emotions.
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Vishkin, Allon, Pazit Ben-Nun Bloom, Shalom H. Schwartz, Nevin Solak, and Maya Tamir. "Religiosity and Emotion Regulation." Journal of Cross-Cultural Psychology 50, no. 9 (October 2019): 1050–74. http://dx.doi.org/10.1177/0022022119880341.
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People higher (vs. lower) in religiosity differ in the emotions they typically experience, but do they also differ in how they deal with their emotions? In this investigation, we systematically tested links between religiosity and elements of emotion regulation, including beliefs regarding the controllability of emotion, the motivation to feel better, and the tendency to use specific emotion regulation strategies (e.g., cognitive reappraisal, rumination, distraction). Participants were American Catholics, Israeli Jews, and Muslim Turks ( N = 616) who were stratified sampled based on level of religiosity. All eight preregistered hypotheses were confirmed, even after controlling for demographic variables. We found that people higher (vs. lower) in religiosity were more likely to use emotion regulation strategies that are typically linked to adaptive emotional outcomes (e.g., cognitive reappraisal, acceptance) and less likely to use emotion regulation strategies that are typically linked to less adaptive outcomes (e.g., rumination). These findings suggest that people higher (vs. lower) in religiosity may deal with their emotions in more adaptive ways.
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Ringnes, Hege Kristin, Sarah Demmrich, Harald Hegstad, Gry Stålsett, and Lars Johan Danbolt. "End Time and Emotions: Emotion Regulation Functions of Eschatological Expectations among Jehovah’s Witnesses in Norway." Journal of Empirical Theology 32, no. 1 (July 15, 2019): 105–37. http://dx.doi.org/10.1163/15709256-12341385.
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Abstract The aim of this qualitative interview study was to explore the specific expectations that N = 29 Jehovah’s Witnesses (JWs) had of end times and paradise using an emotion regulation perspective. Beyond the general eschatological doctrine of JWs, the participants were encouraged to report their individual beliefs and connected emotions. Thematic analysis identified forecasting of life in paradise in the form of a continuation of physical life but with an overall positive emotional atmosphere. Emotionally, paradise was often contrasted with the present time, as negative emotions and the downregulation of strong positive emotions dominate the current end time. As an emotion regulation strategy between current end times and future paradise, emotional forecasting, i.e., predicting which emotions would arise in the future to regulate present-day emotions, is used. The results are discussed in the frame of positive and negative psychological implications of JWs’ eschatological beliefs and emotional forecasting.
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Burrow, Sylvia. "The Political Structure of Emotion: From Dismissal to Dialogue." Hypatia 20, no. 4 (2005): 27–43. http://dx.doi.org/10.1111/j.1527-2001.2005.tb00534.x.
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How much power does emotional dismissal have over the oppressed's ability to trust outlaw emotions, or to stand for such emotions before others? I discuss Sue Campbell's view of the interpretation of emotion in light of the political significance of emotional dismissal, in response, 1 suggest that feminist contentions of interpretation developed within dialogical communities are best suited to providing resources for expressing, interpreting, defining, and reflecting on our emotions.
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Vuoskoski, Jonna K., and Tuomas Eerola. "Measuring Music-Induced Emotion: A Comparison of Emotion Models, Personality Biases, and Intensity of Experiences." Musicae Scientiae 15, no. 2 (July 2011): 159–73. http://dx.doi.org/10.1177/102986491101500203.
Full textAbstract:
Most previous studies investigating music-induced emotions have applied emotion models developed in other fields to the domain of music. The aim of this study was to compare the applicability of music-specific and general emotion models – namely the Geneva Emotional Music Scale (GEMS), and the discrete and dimensional emotion models – in the assessment of music-induced emotions. A related aim was to explore the role of individual difference variables (such as personality and mood) in music-induced emotions, and to discover whether some emotion models reflect these individual differences more strongly than others. One hundred and forty-eight participants listened to 16 film music excerpts and rated the emotional responses evoked by the music excerpts. Intraclass correlations and Cronbach alphas revealed that the overall consistency of ratings was the highest in the case of the dimensional model. The dimensional model also outperformed the other two models in the discrimination of music excerpts, and principal component analysis revealed that 89.9% of the variance in the mean ratings of all the scales (in all three models) was accounted for by two principal components that could be labelled as valence and arousal. Personality-related differences were the most pronounced in the case of the discrete emotion model. Personality, mood, and the emotion model used were also associated with the intensity of experienced emotions. Implications for future music and emotion studies are raised concerning the selection of an appropriate emotion model when measuring music-induced emotions.
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Israelashvili, Jacob, Lisanne S. Pauw, Disa A. Sauter, and Agneta H. Fischer. "Emotion Recognition from Realistic Dynamic Emotional Expressions Cohere with Established Emotion Recognition Tests: A Proof-of-Concept Validation of the Emotional Accuracy Test." Journal of Intelligence 9, no. 2 (May 7, 2021): 25. http://dx.doi.org/10.3390/jintelligence9020025.
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Individual differences in understanding other people’s emotions have typically been studied with recognition tests using prototypical emotional expressions. These tests have been criticized for the use of posed, prototypical displays, raising the question of whether such tests tell us anything about the ability to understand spontaneous, non-prototypical emotional expressions. Here, we employ the Emotional Accuracy Test (EAT), which uses natural emotional expressions and defines the recognition as the match between the emotion ratings of a target and a perceiver. In two preregistered studies (Ntotal = 231), we compared the performance on the EAT with two well-established tests of emotion recognition ability: the Geneva Emotion Recognition Test (GERT) and the Reading the Mind in the Eyes Test (RMET). We found significant overlap (r > 0.20) between individuals’ performance in recognizing spontaneous emotions in naturalistic settings (EAT) and posed (or enacted) non-verbal measures of emotion recognition (GERT, RMET), even when controlling for individual differences in verbal IQ. On average, however, participants reported enjoying the EAT more than the other tasks. Thus, the current research provides a proof-of-concept validation of the EAT as a useful measure for testing the understanding of others’ emotions, a crucial feature of emotional intelligence. Further, our findings indicate that emotion recognition tests using prototypical expressions are valid proxies for measuring the understanding of others’ emotions in more realistic everyday contexts.
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Werner, S., and G. N. Petrenko. "Speech Emotion Recognition: Humans vs Machines." Discourse 5, no. 5 (December 18, 2019): 136–52. http://dx.doi.org/10.32603/2412-8562-2019-5-5-136-152.
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Introduction. The study focuses on emotional speech perception and speech emotion recognition using prosodic clues alone. Theoretical problems of defining prosody, intonation and emotion along with the challenges of emotion classification are discussed. An overview of acoustic and perceptional correlates of emotions found in speech is provided. Technical approaches to speech emotion recognition are also considered in the light of the latest emotional speech automatic classification experiments.Methodology and sources. The typical “big six” classification commonly used in technical applications is chosen and modified to include such emotions as disgust and shame. A database of emotional speech in Russian is created under sound laboratory conditions. A perception experiment is run using Praat software’s experimental environment.Results and discussion. Cross-cultural emotion recognition possibilities are revealed, as the Finnish and international participants recognised about a half of samples correctly. Nonetheless, native speakers of Russian appear to distinguish a larger proportion of emotions correctly. The effects of foreign languages knowledge, musical training and gender on the performance in the experiment were insufficiently prominent. The most commonly confused pairs of emotions, such as shame and sadness, surprise and fear, anger and disgust as well as confusions with neutral emotion were also given due attention.Conclusion. The work can contribute to psychological studies, clarifying emotion classification and gender aspect of emotionality, linguistic research, providing new evidence for prosodic and comparative language studies, and language technology, deepening the understanding of possible challenges for SER systems.
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Sun, Michael, and Anna S. Lau. "Exploring Cultural Differences in Expressive Suppression and Emotion Recognition." Journal of Cross-Cultural Psychology 49, no. 4 (April 4, 2018): 664–72. http://dx.doi.org/10.1177/0022022118763749.
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Previous research has shown that the habit of suppressing emotional expressions is associated with long-term, general reductions in social cognitive abilities and interpersonal adjustment. This may be because theoretically, habitual suppression requires the fixation of attention to the self instead of to others. The present research explored the association between the habitual tendency to suppress one’s own emotions and accuracy in recognizing the emotions of others. Emotion recognition accuracy was tested across two tasks, a limited-channel task that presents limited emotional information and a multimodal full-channel task. We further explored cultural differences in this association given that expressive suppression may be normative for individuals of Asian descent due to cultural motivations toward social harmony and interdependence. Our findings revealed few cultural group differences. U.S.-born Asian Americans outperformed foreign-born Asian Americans and European Americans in limited-channel emotion recognition. However, the three groups did not differ in terms of interdependent self-construal, habitual emotion suppression, and full-channel emotion recognition ability. Interdependent self-construal was related to greater habitual suppression and emotion recognition accuracy in the full-channel task. Habitual emotion suppression was negatively related to limited-channel but not full-channel emotion recognition. There was no evidence of cultural differences in the link between habitual suppression and emotion recognition.
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Thompson, Nicholas M., Carien M. van Reekum, and Bhismadev Chakrabarti. "Cognitive and Affective Empathy Relate Differentially to Emotion Regulation." Affective Science 3, no. 1 (November 15, 2021): 118–34. http://dx.doi.org/10.1007/s42761-021-00062-w.
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AbstractThe constructs of empathy (i.e., understanding and/or sharing another’s emotion) and emotion regulation (i.e., the processes by which one manages emotions) have largely been studied in relative isolation of one another. To better understand the interrelationships between their various component processes, this manuscript reports two studies that examined the relationship between empathy and emotion regulation using a combination of self-report and task measures. In study 1 (N = 137), trait cognitive empathy and affective empathy were found to share divergent relationships with self-reported emotion dysregulation. Trait emotion dysregulation was negatively related to cognitive empathy but did not show a significant relationship with affective empathy. In the second study (N = 92), the magnitude of emotion interference effects (i.e., the extent to which inhibitory control was impacted by emotional relative to neutral stimuli) in variants of a Go/NoGo and Stroop task were used as proxy measures of implicit emotion regulation abilities. Trait cognitive and affective empathy were differentially related to both task metrics. Higher affective empathy was associated with increased emotional interference in the Emotional Go/NoGo task; no such relationship was observed for trait cognitive empathy. In the Emotional Stroop task, higher cognitive empathy was associated with reduced emotional interference; no such relationship was observed for affective empathy. Together, these studies demonstrate that greater cognitive empathy was broadly associated with improved emotion regulation abilities, while greater affective empathy was typically associated with increased difficulties with emotion regulation. These findings point to the need for assessing the different components of empathy in psychopathological conditions marked by difficulties in emotion regulation.
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Hanich, Julian. "How Many Emotions Does Film Studies Need?" Projections 15, no. 2 (June 1, 2021): 91–115. http://dx.doi.org/10.3167/proj.2021.150204.
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A look at current emotion research in film studies, a field that has been thriving for over three decades, reveals three limitations: (1) Film scholars concentrate strongly on a restricted set of garden-variety emotions—some emotions are therefore neglected. (2) Their understanding of standard emotions is often too monolithic—some subtypes of these emotions are consequently overlooked. (3) The range of existing emotion terms does not seem fine-grained enough to cover the wide range of affective experiences viewers undergo when watching films—a number of emotions might thus be missed. Against this background, the article proposes at least four benefits of introducing a more granular emotion lexicon in film studies. As a remedy, the article suggests paying closer attention to the subjective-experience component of emotions. Here the descriptive method of phenomenology—including its particular subfield phenomenology of emotions—might have useful things to tell film scholars.
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Yi, Jingjing, Jiayu Gina Qu, and Wanjiang Jacob Zhang. "Depicting the Emotion Flow: Super-Spreaders of Emotional Messages on Weibo During the COVID-19 Pandemic." Social Media + Society 8, no. 1 (January 2022): 205630512210849. http://dx.doi.org/10.1177/20563051221084950.
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This study collected 2 million posts and reposts regarding the early stage of COVID-19 in China on Weibo from 26 December 2019 to 29 February 2020. Emotion analysis and social network analysis were used to examine the flow of emotional messages (emotion flow) by comparing them with the flow of general messages (information flow). Results indicated that both emotional messages and general messages present a multilayer diffusion pattern and follow network step flow models. In our dataset, emotion network has a higher transmission efficiency than information network; officially verified accounts were more likely to become super-spreaders of emotional messages; good emotions were predominant but isolated from other six emotions (joy, sadness, fear, disgust, surprise, anger) in online discussions; finally, government played a vital role in spreading good emotions.
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Plamper, Jan. "Introduction." Slavic Review 68, no. 2 (2009): 229–37. http://dx.doi.org/10.1017/s003767790004701x.
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Recent scholarship in the humanities and social sciences is awash with emotions. Affective social science, the cognitive poetics of emotion, the philosophy of emotions, the history of emotions, and the outer markers of institutionalization and professionalization—conferences, research clusters, dissertations, publications—together create a solid impression: this is a “turn,” if there ever was one.It appears that this turn has reached Slavic studies. That it has taken so long may seem surprising. After all, in the western European imagination, “the east,” and Russia as a part thereof, has long been linked with emotion—so unmediated and untrammeled that an indication of quantity sufficed as a description: too much emotion, extreme emotion, rather than a different kind of emotion. Whence the current emotional turn? Let me briefly map some of the roads that led to it.
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Wahl-Jorgensen, Karin, and Mervi Pantti. "Introduction: The emotional turn in journalism." Journalism 22, no. 5 (March 10, 2021): 1147–54. http://dx.doi.org/10.1177/1464884920985704.
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In journalism studies, an interest in emotions has gathered momentum during the last decade, leading to an increasingly diverse investigation of the affective and emotional aspects of production, text and audience engagement with journalism which we describe as an “emotional turn.” The attention to emotion in journalism studies is a relatively recent development, sustained by the concurrent rise of digital information technologies that have accentuated the emotional and affective everyday use of media, as well as the increasing mobilization, exploitation and capitalization of emotions in digital media. This special issue both builds upon research on emotion in journalism studies and aims to extend it by examining new theoretical and methodological tools, and areas of empirical analysis, to engage with emotion or affect across the contexts of journalistic production, content and consumption. In proclaiming ‘an emotional turn’ in journalism studies, the intention of this special issue is not to suggest a paradigm shift or a major change in the prevailing research agenda in the field. Rather, against the backdrop of the increasingly diverse field of journalism studies, it is to point out that the relationship between journalism and emotion represents a rapidly developing area of inquiry, which opens up for new research agendas.
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Ringnes, Hege Kristin, Gry Stålsett, Harald Hegstad, and Lars Johan Danbolt. "Emotional Forecasting of Happiness." Archive for the Psychology of Religion 39, no. 3 (December 2017): 312–43. http://dx.doi.org/10.1163/15736121-12341341.
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The aim of this study was to explore which group-based emotion regulation goals and strategies are offered in the group culture of Jehovah's Witnesses (JWS). Based on interviews with 29 group-active JWS in Norway, a thematic analysis was conducted in which an overall pattern of cognition taking precedence over emotions was found. Due to endtime expectations and a long-term goal of eternal life in Paradise, future emotions were prioritized. The emotion regulation strategies identified among JWS were social sharing and the interconnected cognitive reappraisal. A new concept, emotional forecasting, was introduced, describing a reappraisal tactic of regulation using prospects of future emotions to regulate the here and now. It was concluded that the prospection of the future is a strong regulator of emotions of the here and now and should be included in psychological models of emotion regulation.
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Tian, Wenqiang. "Personalized Emotion Recognition and Emotion Prediction System Based on Cloud Computing." Mathematical Problems in Engineering 2021 (May 26, 2021): 1–10. http://dx.doi.org/10.1155/2021/9948733.
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Promoting economic development and improving people’s quality of life have a lot to do with the continuous improvement of cloud computing technology and the rapid expansion of applications. Emotions play an important role in all aspects of human life. It is difficult to avoid the influence of inner emotions in people’s behavior and deduction. This article mainly studies the personalized emotion recognition and emotion prediction system based on cloud computing. This paper proposes a method of intelligently identifying users’ emotional states through the use of cloud computing. First, an emotional induction experiment is designed to induce the testers’ positive, neutral, and negative three basic emotional states and collect cloud data and EEG under different emotional states. Then, the cloud data is processed and analyzed to extract emotional features. After that, this paper constructs a facial emotion prediction system based on cloud computing data model, which consists of face detection and facial emotion recognition. The system uses the SVM algorithm for face detection, uses the temporal feature algorithm for facial emotion analysis, and finally uses the classification method of machine learning to classify emotions, so as to realize the purpose of identifying the user’s emotional state through cloud computing technology. Experimental data shows that the EEG signal emotion recognition method based on time domain features performs best has better generalization ability and is improved by 6.3% on the basis of traditional methods. The experimental results show that the personalized emotion recognition method based on cloud computing is more effective than traditional methods.
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Li, Zongxi, Xinhong Chen, Haoran Xie, Qing Li, Xiaohui Tao, and Gary Cheng. "EmoChannel-SA: exploring emotional dependency towards classification task with self-attention mechanism." World Wide Web 24, no. 6 (October 6, 2021): 2049–70. http://dx.doi.org/10.1007/s11280-021-00957-5.
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AbstractExploiting hand-crafted lexicon knowledge to enhance emotional or sentimental features at word-level has become a widely adopted method in emotion-relevant classification studies. However, few attempts have been made to explore the emotion construction in the classification task, which provides insights to how a sentence’s emotion is constructed. The major challenge of exploring emotion construction is that the current studies assume the dataset labels as relatively independent emotions, which overlooks the connections among different emotions. This work aims to understand the coarse-grained emotion construction and their dependency by incorporating fine-grained emotions from domain knowledge. Incorporating domain knowledge and dimensional sentiment lexicons, our previous work proposes a novel method named EmoChannel to capture the intensity variation of a particular emotion in time series. We utilize the resultant knowledge of 151 available fine-grained emotions to comprise the representation of sentence-level emotion construction. Furthermore, this work explicitly employs a self-attention module to extract the dependency relationship within all emotions and propose EmoChannel-SA Network to enhance emotion classification performance. We conducted experiments to demonstrate that the proposed method produces competitive performances against the state-of-the-art baselines on both multi-class datasets and sentiment analysis datasets.
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Pohl, Anna, Sebastian Dummel, Mascha Bothur, and Alexander L. Gerlach. "Interoceptive accuracy does not predict emotion perception in daily life." Open Psychology 4, no. 1 (January 1, 2022): 175–86. http://dx.doi.org/10.1515/psych-2022-0009.
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Abstract Peripheral emotion theories suggest a crucial role of interoception for emotion perception, which in turn facilitates emotion regulation. Laboratory studies found positive relations between interoceptive accuracy and perceived emotion intensity and arousal. Studies in natural settings are largely missing, but seem important by virtue of emotional experience and regulation diversity. On hundred seven participants underwent a cardiovascular interoceptive accuracy task. Afterwards, participants provided detailed information on perceived emotions and emotion regulation strategies in an ecological momentary assessment (EMA). Multilevel models were calculated. In consideration of valence, emotion intensity, arousal, intensity of body sensations and, emotion regulation success were modeled as a function of centered interoceptive accuracy. Interoceptive accuracy did not predict any emotion perception criterion. Lower accuracy was related to a slightly stronger decrease of perceived arousal after regulation. Differences in emotion categories, intensity, and sample collection might explain divergences to laboratory studies.
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SCRUTTON, ANASTASIA. "Living like common people: emotion, will, and divine passibility." Religious Studies 45, no. 4 (July 23, 2009): 373–93. http://dx.doi.org/10.1017/s0034412509990035.
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AbstractThis paper explores the perennial objection to passibilism (conceived as susceptibility to or capacity for emotion) that an omnipotent being could not experience emotions because emotions are essentially passive and outside the subject's control. Examining this claim through the lens of some recent philosophy of emotion, I highlight some of the ways in which emotions can be chosen and cultivated, suggesting that emotions are not incompatible with divine omnipotence. Having concluded that divine omnipotence does not exclude emotional experience in general, I go on to address an objection to the idea that God experiences the emotions involved in suffering in particular, suggesting one possible way of arguing that God's suffering is chosen while also maintaining the authenticity of divine suffering.
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Kılıç, Şükran, and Abide Güngör Aytar. "Emotion understanding of Turkish preschoolers and maternal emotional socialization." Journal of Human Sciences 13, no. 1 (April 13, 2016): 2102. http://dx.doi.org/10.14687/ijhs.v13i1.3708.
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The aim of the study is to investigate the relationship between emotion understanding and maternal emotional socialization responses to children's negative emotions. Emotion understanding was also investigated according to children's age and gender. The participants included 210 Turkish children and their mothers living in Ankara, Turkey. All children were recruited from kindergartens and all of them were between 48-72 month-olds. To gather data, Affect Knowledge Test (AKT) and Coping with Children’s Negative Emotions Scale were used. Confirmayory Factor Analysis was performed for construct validity for AKT. Pearson correlation coefficients, ANOVA and posthoc tests were conducted. In this study, no relations were established between emotion understanding and the maternal emotional responses to children's negative emotions. It also has been revealed that 72 month-olds had better emotion understanding skills and emotion understanding did not change according to children's gender. It may be useful to include other important predictors of children’s social and emotional competence and paternal responses for future studies.
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Eerola, Tuomas, and Jonna K. Vuoskoski. "A Review of Music and Emotion Studies: Approaches, Emotion Models, and Stimuli." Music Perception 30, no. 3 (December 2012): 307–40. http://dx.doi.org/10.1525/mp.2012.30.3.307.
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The field of music and emotion research has grown rapidly and diversified during the last decade. This has led to a certain degree of confusion and inconsistency between competing notions of emotions, data, and results. The present review of 251 studies describes the focus of prevalent research approaches, methods, and models of emotion, and documents the types of musical stimuli used over the past twenty years. Although self-report approaches to emotions are the most common way of dealing with music and emotions, using multiple approaches is becoming increasingly popular. A large majority (70%) of the studies employed variants of the discrete or the dimensional emotion models. A large proportion of stimuli rely on a relatively modest amount of familiar classical examples. The evident shortcomings of these prevalent patterns in music and emotion studies are highlighted, and concrete plans of action for future studies are suggested.
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Hatem, Ahmed Samit, and Abbas M. Al-Bakry. "The Information Channels of Emotion Recognition: A Review." Webology 19, no. 1 (January 20, 2022): 927–41. http://dx.doi.org/10.14704/web/v19i1/web19064.
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Humans are emotional beings. When we express about emotions, we frequently use several modalities, whether we want to so overtly (i.e., Speech, facial expressions,..) or implicitly (i.e., body language, text,..). Emotion recognition has lately piqued the interest of many researchers, and various techniques have been studied. A review on emotion recognition is given in this article. The survey seeks single and multiple source of data or information channels that may be utilized to identify emotions and includes a literature analysis on current studies published to each information channel, as well as the techniques employed and the findings obtained. Ultimately, some of the present emotion recognition problems and future work recommendations have been mentioned.
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Rafikova, Antonina S. "Socio-emotional regulation in collaborative learning: studies review." Psychological-Pedagogical Journal GAUDEAMUS, no. 2 (2022): 25–34. http://dx.doi.org/10.20310/1810-231x-2022-21-2-25-34.
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We analyze studies on socio-emotional regulation in collaborative learning. The features and advantages of collaborative learning are described. We consider The role of academic emotions in the learning process. The emotional background plays an important role in the learning process in general and collaborative learning in particular. Students often experience problems in the emotional sphere during learning process, for the solution of which they use the strategy of “emotion suppression”. In this context, social-emotional interaction plays an important role in the learning process. Positive social and emotional interaction contributes to increased motivation, harmonious functioning of the group and greater involvement in the learning process. Negative socio-emotional interaction creates difficulties for the process of group learning and is realized in directive forms of social regulation. The N.G. Lobczowski’s model describes the process of formation and regulation of emotions in the process of collaborative learning. According to this model, emotion formation spans the first four stages (context, stimulus event, appraisal, and emotional response) leading to the regulation. An important aspect of the socio-emotional interaction is the socio-emotional discourse. To create positive social and emotional conditions for learning, it is important to show interest in other members of the group, express social responsiveness, positively assess the progress in completing the task and the actions of group members, and express mutual support between participants. Solving problems and conflicts between group members is necessary to maintain a sense of cohesion among group members. The solution of the problems associated with the socio-emotional interaction requires the socio-emotional regulation, that is, responding to the manifestation of emotions in the group, solving the problems of the group and supporting positive interaction between group members. Students can apply behavioral, interpersonal, cognitive, motivational and motivational-cognitive socioemotional regulation strategies.
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Chen, Sihua, Hua Xiao, Wei He, Jian Mou, Mikko Siponen, Han Qiu, and Feng Xu. "Determinants of Individual Knowledge Innovation Behavior." Journal of Organizational and End User Computing 33, no. 6 (November 2021): 1–24. http://dx.doi.org/10.4018/joeuc.20211101.oa27.
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With the upsurge of "emotional storm" in the field of organizational behavior, the studies on individual emotions in organizational context are rising. Especially the relationship between emotions and knowledge innovation has attracted much attention by scholars. In particular, individual emotions may exert great effect on knowledge innovation whereas the mechanism is still unclear. Based on the emotional event theory, this paper constructs a model which explores the interaction of positive and negative emotions with individual knowledge innovation. Based on questionnaire data analysis, the results show that knowledge sharing partly mediate the relationship between positive emotion and knowledge innovation as well as the relationship between negative emotion and knowledge innovation; team trust accentuates the relationship between positive emotion and knowledge innovation as well as the relationship between negative emotion and knowledge innovation. The above findings are helpful to clarify the impact mechanism of emotions on knowledge innovation.
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Gordon, Nakia S., and Samantha A. Chesney. "On the Outside Looking In: Distress and Sympathy for Ethnic Victims of Violence by Out-Group Members." Journal of Cognition and Culture 17, no. 3-4 (October 6, 2017): 199–217. http://dx.doi.org/10.1163/15685373-12340004.
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Abstract It is well documented that individuals respond with negative emotions to racial and ethnic out-groups. Yet, it is unknown whether the responses are a measure of simple emotional reactivity or if they are also influenced by emotion regulation. Given the importance of emotions in out-group evaluation (see Intergroup Emotion Theory; Smith and Mackie, 2008), we investigated emotional reactivity and regulation in response to out-group victimization. Forty-one undergraduates completed the Emotion Regulation Questionnaire and viewed three sets of images: lynching of African-Americans, torture of Abu Ghraib prison detainees, and iaps images depicting graphic violence. Participants rated 13 emotions before and after viewing the images. A factor analysis identified four emotional response categories: Distress, Sympathy, Arousal and Avoidance. Analyses at both the individual emotion level and factor level indicated that negative emotions (e.g., anger, disgust, and guilt) were greater in response to violence against ethnic groups relative to violence depicted in the iaps images. Emotional suppression predicted blunted distress and arousal to ethnic victimization. These findings highlight that emotional responses to out-group victimization are complex and tempered by emotional suppression. Individuals’ emotion regulation may provide further insight into responses to ethnic and racial out-groups.
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Altheimer, Gizem, and Heather L. Urry. "Do Emotions Cause Eating? The Role of Previous Experiences and Social Context in Emotional Eating." Current Directions in Psychological Science 28, no. 3 (April 9, 2019): 234–40. http://dx.doi.org/10.1177/0963721419837685.
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Emotional eating is defined as an increase in eating following negative emotion. Self-reported emotional eating has been associated with physical-health concerns. However, experimental studies indicate that negative-mood inductions do not reliably lead to increased eating in healthy eaters, not even among those with a high desire to eat when emotional. We argue that experimental studies will help us understand emotional eating only if they account for the following ideas: (a) Emotional eating may require that people learn to associate emotion with eating, (b) emotional eating may follow only specific discrete emotions, and (c) emotional eating may depend on social context. Each of these points suggests a fruitful direction for future research. Specifically, future studies must acknowledge, identify, and account for variations in the extent to which people have learned to associate emotions with eating; assess or elicit strong discrete emotions; and systematically examine the effect of social context on emotional eating.
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Keltner, Dacher, and Ann M. Kring. "Emotion, Social Function, and Psychopathology." Review of General Psychology 2, no. 3 (September 1998): 320–42. http://dx.doi.org/10.1037/1089-2680.2.3.320.
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The studies of emotion function and emotional disorders complement one another. In this article, the authors outline relations between the social functions of emotion and four psychological disorders. The authors first present a social-functional account of emotion and argue that emotions help coordinate social interactions through their informative, evocative, and incentive functions. They then review evidence concerning the emotional and social problems related to depression, schizophrenia, social anxiety, and borderline personality disorder and consider how the emotional disturbances related to these disorders disrupt interactions and relationships, thus contributing further to the maintenance of the disorder. They conclude by discussing research strategies relevant to the study of emotion, social interaction, and psychopathology.
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Abstract, Nicky James. "Emotional Labour: Skill and Work in the Social Regulation of Feelings." Sociological Review 37, no. 1 (February 1989): 15–42. http://dx.doi.org/10.1111/j.1467-954x.1989.tb00019.x.
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I define emotional labour as the labour involved in dealing with other peoples' feelings, a core component of which is the regulation of emotions. The aims of the paper are firstly to suggest that the expression of feelings is a central problem of capital and paid work and secondly to highlight the contradictions of emotions at work. To begin with I argue that ‘emotion’ is a subject area fitting for inclusion in academic discussion, and that the expression of emotions is regulated by a form of labour. In the section ‘Emotion at home’ I suggest that emotional labour is used to lay the foundations of a social expression of emotion in the privacy of the domestic domain. However the forms emotional labour takes and the skills it involves leave women subordinated as unskilled and stigmatised as emotional. In the section ‘Emotion at work’ I argue that emotional labour is also a commodity. Though it may remain invisible or poorly paid, emotional labour facilitates and regulates the expression of emotion in the public domain. Studies of home and the workplace are used to begin the process of recording the work carried out in managing emotions and drawing attention to its significance in the social reproduction of labour power and social relations of production.
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Zhao, Yingying, Yuhu Chang, Yutian Lu, Yujiang Wang, Mingzhi Dong, Qin Lv, Robert P. Dick, et al. "Do Smart Glasses Dream of Sentimental Visions?" Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, no. 1 (March 29, 2022): 1–29. http://dx.doi.org/10.1145/3517250.
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Emotion recognition in smart eyewear devices is valuable but challenging. One key limitation of previous works is that the expression-related information like facial or eye images is considered as the only evidence of emotion. However, emotional status is not isolated; it is tightly associated with people's visual perceptions, especially those with emotional implications. However, little work has examined such associations to better illustrate the causes of emotions. In this paper, we study the emotionship analysis problem in eyewear systems, an ambitious task that requires classifying the user's emotions and semantically understanding their potential causes. To this end, we describe EMOShip, a deep-learning-based eyewear system that can automatically detect the wearer's emotional status and simultaneously analyze its associations with semantic-level visual perception. Experimental studies with 20 participants demonstrate that, thanks to its awareness of emotionship, EMOShip achieves superior emotion recognition accuracy compared to existing methods (80.2% vs. 69.4%) and provides a valuable understanding of the causes of emotions. Further pilot studies with 20 additional participants further motivate the potential use of EMOShip to empower emotion-aware applications, such as emotionship self-reflection and emotionship life-logging.
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Thornton, Mark A., and Diana I. Tamir. "Mental models accurately predict emotion transitions." Proceedings of the National Academy of Sciences 114, no. 23 (May 22, 2017): 5982–87. http://dx.doi.org/10.1073/pnas.1616056114.
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Successful social interactions depend on people’s ability to predict others’ future actions and emotions. People possess many mechanisms for perceiving others’ current emotional states, but how might they use this information to predict others’ future states? We hypothesized that people might capitalize on an overlooked aspect of affective experience: current emotions predict future emotions. By attending to regularities in emotion transitions, perceivers might develop accurate mental models of others’ emotional dynamics. People could then use these mental models of emotion transitions to predict others’ future emotions from currently observable emotions. To test this hypothesis, studies 1–3 used data from three extant experience-sampling datasets to establish the actual rates of emotional transitions. We then collected three parallel datasets in which participants rated the transition likelihoods between the same set of emotions. Participants’ ratings of emotion transitions predicted others’ experienced transitional likelihoods with high accuracy. Study 4 demonstrated that four conceptual dimensions of mental state representation—valence, social impact, rationality, and human mind—inform participants’ mental models. Study 5 used 2 million emotion reports on the Experience Project to replicate both of these findings: again people reported accurate models of emotion transitions, and these models were informed by the same four conceptual dimensions. Importantly, neither these conceptual dimensions nor holistic similarity could fully explain participants’ accuracy, suggesting that their mental models contain accurate information about emotion dynamics above and beyond what might be predicted by static emotion knowledge alone.
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Chaudhary, Shefali, Simon Zhornitsky, Herta H. Chao, Christopher H. van Dyck, and Chiang-Shan R. Li. "Emotion Processing Dysfunction in Alzheimer’s Disease: An Overview of Behavioral Findings, Systems Neural Correlates, and Underlying Neural Biology." American Journal of Alzheimer's Disease & Other Dementias® 37 (January 2022): 153331752210828. http://dx.doi.org/10.1177/15333175221082834.
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We described behavioral studies to highlight emotional processing deficits in Alzheimer’s disease (AD). The findings suggest prominent deficit in recognizing negative emotions, pronounced effect of positive emotion on enhancing memory, and a critical role of cognitive deficits in manifesting emotional processing dysfunction in AD. We reviewed imaging studies to highlight morphometric and functional markers of hippocampal circuit dysfunction in emotional processing deficits. Despite amygdala reactivity to emotional stimuli, hippocampal dysfunction conduces to deficits in emotional memory. Finally, the reviewed studies implicating major neurotransmitter systems in anxiety and depression in AD supported altered cholinergic and noradrenergic signaling in AD emotional disorders. Overall, the studies showed altered emotions early in the course of illness and suggest the need of multimodal imaging for further investigations. Particularly, longitudinal studies with multiple behavioral paradigms translatable between preclinical and clinical models would provide data to elucidate the time course and underlying neurobiology of emotion processing dysfunction in AD.
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Whittier, Nancy. "How emotions shape feminist coalitions." European Journal of Women's Studies 28, no. 3 (August 2021): 369–86. http://dx.doi.org/10.1177/13505068211029682.
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This article develops a framework for conceptualizing the emotional dimensions of coalitions, with particular focus on how power operates through emotion in different varieties of feminist coalitions. The article proposes three interrelated areas in which emotion shapes feminist coalitions: (1) Feelings towards coalition partners: feelings of mistrust, anger, fear, or their reverse grow from histories of interaction and unequal power. These make up the emotional landscape of intersectional coalitions, which operate through a tension between negative emotions and attempts at empathy or mutual acceptance; (2) Shared feelings: feminist coalitions build on shared fear of threat or anger at a common enemy; and (3) emergent emotions in collective action. Coalition partners possess distinct emotion cultures. Joint collective action can cement bonds when all participants’ emotion cultures are reflected, or weaken coalitions when the reverse is true. In all three of these areas, organizers engage in emotional labour in order to create or maintain coalitions. These three dynamics are illustrated with examples from intersectional feminist coalitions, the Women’s Marches, and interactions between feminists and conservatives opposed to pornography.
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Beer, Jennifer S., Robert T. Knight, and Mark D'Esposito. "Controlling the Integration of Emotion and Cognition." Psychological Science 17, no. 5 (May 2006): 448–53. http://dx.doi.org/10.1111/j.1467-9280.2006.01726.x.
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Emotion has been both lauded and vilified for its role in decision making. How are people able to ensure that helpful emotions guide decision making and irrelevant emotions are kept out of decision making? The orbitofrontal cortex has been identified as a neural area involved in incorporating emotion into decision making. Is this area's function specific to the integration of emotion and cognition, or does it more broadly govern whether emotional information should be integrated into cognition? The present research examined the role of orbitofrontal cortex when it was appropriate to control (i.e., prevent) the influence of emotion in decision making (Experiment 1) and to incorporate the influence of emotion in decision making (Experiment 2). Together, the two studies suggest that activity in lateral orbitofrontal cortex is associated with evaluating the contextual relevance of emotional information for decision making.
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Bajri, Ibtesam AbdulAziz, and Nada Abdulmajeed Lashkar. "Saudi Gender Emotional Expressions in Using Instagram." English Language Teaching 13, no. 5 (April 23, 2020): 94. http://dx.doi.org/10.5539/elt.v13n5p94.
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There are plentiful studies exploring gender emotional differences. Gender and emotion stereotypes make people believe that there are certain emotions associated with each gender and this is supported by many studies. The purpose of this research is to analyze the emotional expressions of Saudi men and women in Instagram, a social networking service. This paper aims to explore the Saudi differences of emotional expressions. Also, if gender emotion stereotypes apply on these expressions or not. Data is collected through corpus analysis of Arabic comments for a certain post on Instagram. The results of this study demonstrate that there are differences in Saudis' expressions of emotions in which each gender uses different expressions. Additionally, gender stereotypes of emotions are applied to their emotional expressions that is men express negative emotions more while women express positive emotions. Another result is that women are found to be more emotional than men. Overall, the findings contribute to increase understanding of online emotional expressions of both Saudi genders.
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Lane, Andrew M. "If I want to perform better, then how should I feel?" Polish Psychological Bulletin 44, no. 2 (June 1, 2013): 130–36. http://dx.doi.org/10.2478/ppb-2013-0015.
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Abstract Research indicates that emotions are predictive of sports performance. The application of emotion research to practice is that intervention strategies can be used to change emotions to enhance performance. The present study examined emotional profiles associated with successful performance. A review of studies indicate that there are general trends, that is, high activation emotions such as excitement and vigor tend to associate with good performance and low activation unpleasant emotions such as depression and dejection tend to associate with poor performance. Studies show mixed results for high activation unpleasant emotions (anger and anxiety). Athletes like to feel emotions that can be functional, and so some athletes will seek to increase or sustain relatively high levels of anger or anxiety if they believe they are helpful for performance. It is proposed that practitioners identify individual emotion-performance relationships and examine underlying beliefs associated with each emotion.
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Power, Mick J., and Claire Fyvie. "The Role of Emotion in PTSD: Two Preliminary Studies." Behavioural and Cognitive Psychotherapy 41, no. 2 (March 27, 2012): 162–72. http://dx.doi.org/10.1017/s1352465812000148.
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Background: Two studies are presented that highlight the role of emotion in PTSD in which we examine what emotions in addition to anxiety may be present. Aims: The first aim was to assess the overall emotion profile across the five basic emotions of anxiety, sadness, anger, disgust, and happiness in clients attending a stress clinic. A small pilot study was also carried out to see how the emotion profiles impacted on outcome for CBT. Method: In Study 1, 75 consecutive attenders at a trauma service who were diagnosed with PTSD were assessed with a number of measures that included the Basic Emotions Scale. Results: The results showed that less than 50% of PTSD cases presented with anxiety as the primary emotion, with the remainder showing primary emotions of sadness, anger, or disgust rather than anxiety. A second pilot study involved the follow-up across exposure-based CBT of 20 of the participants from Study 1. Conclusions: The results suggest that anxiety-based PTSD is more likely to benefit from exposure than is non-anxiety based PTSD. Implications both for the classification and the treatment of PTSD are considered.
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Ye, Zhengdao. "Different modes of describing emotions in Chinese." Pragmatics and Cognition 10, no. 1-2 (July 11, 2002): 307–39. http://dx.doi.org/10.1075/pc.10.1-2.13ye.
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This paper examines the different ways in which the body is linguistically codified in the Chinese language of emotions. The three general modes of emotion description under examination are via (a) externally observable (involuntary) bodily changes, (b) sensation, and (c) figurative bodily images. While an attempt is made to introduce a typology of sub-categories within each mode of emotion description, the paper focuses on the meaning of different iconic descriptions through the Natural Semantic Metalanguage (NSM). On one hand, the linguistic evidence, from a Chinese perspective, attests to the emotional universals proposed by Wierzbicka (1999). On the other, it points to cultural diversity in bodily conceptualisation and interpretation in emotional experiences, which are crystallised in linguistic conventions of Chinese emotion talk, including certain syntactic constructions. This paper also demonstrates the importance of examining the language of emotions in emotion studies, and concludes that a full account of emotions must include the examination of the language of emotions.
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Pinto, Gisela, João M. Carvalho, Filipa Barros, Sandra C. Soares, Armando J. Pinho, and Susana Brás. "Multimodal Emotion Evaluation: A Physiological Model for Cost-Effective Emotion Classification." Sensors 20, no. 12 (June 21, 2020): 3510. http://dx.doi.org/10.3390/s20123510.
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Emotional responses are associated with distinct body alterations and are crucial to foster adaptive responses, well-being, and survival. Emotion identification may improve peoples’ emotion regulation strategies and interaction with multiple life contexts. Several studies have investigated emotion classification systems, but most of them are based on the analysis of only one, a few, or isolated physiological signals. Understanding how informative the individual signals are and how their combination works would allow to develop more cost-effective, informative, and objective systems for emotion detection, processing, and interpretation. In the present work, electrocardiogram, electromyogram, and electrodermal activity were processed in order to find a physiological model of emotions. Both a unimodal and a multimodal approach were used to analyze what signal, or combination of signals, may better describe an emotional response, using a sample of 55 healthy subjects. The method was divided in: (1) signal preprocessing; (2) feature extraction; (3) classification using random forest and neural networks. Results suggest that the electrocardiogram (ECG) signal is the most effective for emotion classification. Yet, the combination of all signals provides the best emotion identification performance, with all signals providing crucial information for the system. This physiological model of emotions has important research and clinical implications, by providing valuable information about the value and weight of physiological signals for emotional classification, which can critically drive effective evaluation, monitoring and intervention, regarding emotional processing and regulation, considering multiple contexts.
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Baum, Andrew, Neil E. Grunberg, and Jerome E. Singer. "Biochemical Measurements in the Study of Emotion." Psychological Science 3, no. 1 (January 1992): 56–60. http://dx.doi.org/10.1111/j.1467-9280.1992.tb00257.x.
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The study of emotions is complicated by a number of factors, including the biological bases of emotional experience and expression. Although biochemical changes have long been thought to be part of the evocation of emotions, research has not consistently included this level of measurement, and theories of emotion have not systematically specified the role of these biochemical bases. In this paper, we briefly review relevant biochemical principles and measures that can be integrated into research and theory on emotions. Applications of these principles in extant studies of emotion are also discussed.