Toward a Model of Emotion-Speci®C In¯Uences on Judgement and Choice
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Classification of Human Emotions from Electroencephalogram (EEG) Signal Using Deep Neural Network
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 8, No. 9, 2017 Classification of Human Emotions from Electroencephalogram (EEG) Signal using Deep Neural Network Abeer Al-Nafjan Areej Al-Wabil College of Computer and Information Sciences Center for Complex Engineering Systems Imam Muhammad bin Saud University King Abdulaziz City for Science and Technology Riyadh, Saudi Arabia Riyadh, Saudi Arabia Manar Hosny Yousef Al-Ohali College of Computer and Information Sciences College of Computer and Information Sciences King Saud University King Saud University Riyadh, Saudi Arabia Riyadh, Saudi Arabia Abstract—Estimation of human emotions from [1]. Recognizing a user‘s affective state can be used to Electroencephalogram (EEG) signals plays a vital role in optimize training and enhancement of the BCI operations [2]. developing robust Brain-Computer Interface (BCI) systems. In our research, we used Deep Neural Network (DNN) to address EEG is often used in BCI research experimentation because EEG-based emotion recognition. This was motivated by the the process is non-invasive to the research subject and minimal recent advances in accuracy and efficiency from applying deep risk is involved. The devices‘ usability, reliability, cost- learning techniques in pattern recognition and classification effectiveness, and the relative convenience of conducting applications. We adapted DNN to identify human emotions of a studies and recruiting participants due to their portability have given EEG signal (DEAP dataset) from power spectral density been cited as factors influencing the increased adoption of this (PSD) and frontal asymmetry features. The proposed approach is method in applied research contexts [3], [4]. These advantages compared to state-of-the-art emotion detection systems on the are often accompanied by challenges such as low spatial same dataset. -
Measuring the Happiness of Large-Scale Written Expression: Songs, Blogs, and Presidents
J Happiness Stud DOI 10.1007/s10902-009-9150-9 RESEARCH PAPER Measuring the Happiness of Large-Scale Written Expression: Songs, Blogs, and Presidents Peter Sheridan Dodds Æ Christopher M. Danforth Ó The Author(s) 2009. This article is published with open access at Springerlink.com Abstract The importance of quantifying the nature and intensity of emotional states at the level of populations is evident: we would like to know how, when, and why individuals feel as they do if we wish, for example, to better construct public policy, build more successful organizations, and, from a scientific perspective, more fully understand economic and social phenomena. Here, by incorporating direct human assessment of words, we quantify hap- piness levels on a continuous scale for a diverse set of large-scale texts: song titles and lyrics, weblogs, and State of the Union addresses. Our method is transparent, improvable, capable of rapidly processing Web-scale texts, and moves beyond approaches based on coarse categorization. Among a number of observations, we find that the happiness of song lyrics trends downward from the 1960s to the mid 1990s while remaining stable within genres, and that the happiness of blogs has steadily increased from 2005 to 2009, exhibiting a striking rise and fall with blogger age and distance from the Earth’s equator. Keywords Happiness Á Hedonometer Á Measurement Á Emotion Á Written expression Á Remote sensing Á Blogs Á Song lyrics Á State of the Union addresses 1 Introduction The desire for well-being and the avoidance of suffering arguably underlies all behavior (Argyle 2001; Layard 2005; Gilbert 2006; Snyder and Lopez 2009). -
Daily Emotional Labor, Negative Affect State, and Emotional Exhaustion: Cross-Level Moderators of Affective Commitment
sustainability Article Daily Emotional Labor, Negative Affect State, and Emotional Exhaustion: Cross-Level Moderators of Affective Commitment Hyewon Kong 1 and Joo-Eon Jeon 2,* 1 College of Liberal Arts and Interdisciplinary Studies, Kyonggi University, Suwon 16227, Korea; [email protected] 2 Department of Business Administration, Anyang University, Anyang 14028, Korea * Correspondence: [email protected] Received: 9 May 2018; Accepted: 8 June 2018; Published: 12 June 2018 Abstract: Employees’ emotional-labor strategies, experienced affects, and emotional exhaustion in the workplace may vary over time within individuals, even within the same day. However, previous studies on these relationships have not highlighted their dynamic properties of these relationships. In addition, although the effects of surface and deep acting on emotional exhaustion have been investigated in emotional-labor research, empirical studies on these relationships still report mixed results. Thus, we suggest that moderators may affect the relationship between emotional labor and emotional exhaustion. Also, this study examines the relationship between emotional labor and emotional exhaustion within individuals by repeated measurements, and verifies the mediating effect of a negative affect state. Finally, our study confirms the moderating effects that affective commitment has on the relationship between emotional labor and emotional exhaustion. Data was collected from tellers who had a high degree of interaction with clients at banks based in South Korea. A total of 56 tellers participated in the survey and responded for five working days. A total of 616 data entries were collected from the 56 respondents. We used a hierarchical linear model (HLM) to examine our hypothesis. The results showed that surface-acting emotional labor increases emotional exhaustion; furthermore, the relationship between surface acting emotional labor and emotional exhaustion is mediated by a negative affect state within individuals. -
Preverbal Infants Match Negative Emotions to Events
Developmental Psychology © 2019 American Psychological Association 2019, Vol. 55, No. 6, 1138–1149 0012-1649/19/$12.00 http://dx.doi.org/10.1037/dev0000711 How Do You Feel? Preverbal Infants Match Negative Emotions to Events Ashley L. Ruba, Andrew N. Meltzoff, and Betty M. Repacholi University of Washington There is extensive disagreement as to whether preverbal infants have conceptual categories for different emotions (e.g., anger vs. disgust). In addition, few studies have examined whether infants have conceptual categories of emotions within the same dimension of valence and arousal (e.g., high arousal, negative emotions). The current experiments explore one aspect of infants’ ability to form conceptual categories of emotions: event-emotion matching. Three experiments investigated whether infants match different negative emotions to specific events. In Experiment 1, 14- and 18-month-olds were randomly assigned to 1 of 3 negative emotion conditions (Anger, Fear, or Disgust). Infants were familiarized with an Emoter interacting with objects in an anger-eliciting event (Unmet Goal) and a disgust-eliciting event (New Food). After each event, the Emoter expressed an emotion that was either congruent or incongruent with the event. Infants matched unmet goals to the expression of anger. However, neither age matched the expression of disgust to an event involving exposure to new food. To probe whether this was a design artifact, a revised New Food event and a fear-congruent event (Strange Toy) were created for Experiment 2. Infants matched the expression of disgust to the new food event, but they did not match fear to an event involving an unfamiliar object. -
Fear, Anger, and Risk
Journal of Personality and Social Psychology Copyright 2001 by the American Psychological Association, Inc. 2001. Vol. 81. No. 1, 146-159 O022-3514/01/$5.O0 DOI. 10.1037//O022-3514.81.1.146 Fear, Anger, and Risk Jennifer S. Lemer Dacher Keltner Carnegie Mellon University University of California, Berkeley Drawing on an appraisal-tendency framework (J. S. Lerner & D. Keltner, 2000), the authors predicted and found that fear and anger have opposite effects on risk perception. Whereas fearful people expressed pessimistic risk estimates and risk-averse choices, angry people expressed optimistic risk estimates and risk-seeking choices. These opposing patterns emerged for naturally occurring and experimentally induced fear and anger. Moreover, estimates of angry people more closely resembled those of happy people than those of fearful people. Consistent with predictions, appraisal tendencies accounted for these effects: Appraisals of certainty and control moderated and (in the case of control) mediated the emotion effects. As a complement to studies that link affective valence to judgment outcomes, the present studies highlight multiple benefits of studying specific emotions. Judgment and decision research has begun to incorporate affect In the present studies we follow the valence tradition by exam- into what was once an almost exclusively cognitive field (for ining the striking influence that feelings can have on normatively discussion, see Lerner & Keltner, 2000; Loewenstein & Lerner, in unrelated judgments and choices. We diverge in an important way, press; Loewenstein, Weber, Hsee, & Welch, 2001; Lopes, 1987; however, by focusing on the influences of specific emotions rather Mellers, Schwartz, Ho, & Ritov, 1997). To date, most judgment than on global negative and positive affect (see also Bodenhausen, and decision researchers have taken a valence-based approach to Sheppard, & Kramer, 1994; DeSteno et al, 2000; Keltner, Ells- affect, contrasting the influences of positive-affect traits and states worth, & Edwards, 1993; Lerner & Keltner, 2000). -
Dispositional Affect As a Moderator in the Relationship Between Role Conflict and Exposure to Bullying Behaviors
fpsyg-10-00044 January 22, 2019 Time: 17:17 # 1 ORIGINAL RESEARCH published: 24 January 2019 doi: 10.3389/fpsyg.2019.00044 Dispositional Affect as a Moderator in the Relationship Between Role Conflict and Exposure to Bullying Behaviors Iselin Reknes1*, Ståle Valvatne Einarsen1, Johannes Gjerstad1,2 and Morten Birkeland Nielsen1,2 1 Department of Psychosocial Science, University of Bergen, Bergen, Norway, 2 National Institute of Occupational Health, Oslo, Norway Stressors in the work environment and individual dispositions among targets have been established separately as antecedents and risk factors of workplace bullying. However, few studies have examined these stressors in conjunction in order to determine personal dispositions among targets as possible moderators in the work stressor–bullying relationship. The aim of the present study was to examine multiple types of dispositional affect among targets as potential moderators in the relationship between role conflict and exposure to bullying behaviors, employing two independent cross-sectional Edited by: samples. The first sample comprised 462 employees from a Norwegian sea transport Gabriela Topa, organization, where trait anger and trait anxiety were included moderators. The second Universidad Nacional de Educación sample was a nationwide probability sample of the Norwegian working population and a Distancia (UNED), Spain comprised 1,608 employees randomly drawn from The Norwegian Central Employee Reviewed by: Miriam Lacey, Register, where positive and negative affect were included moderators. The results Pepperdine University, United States showed that trait anger, trait anxiety, and negative affect strengthened the positive Javier Bardon, Universidad Rey Juan Carlos, Spain relationship between role conflict and reports of bullying behaviors. Positive affect did *Correspondence: not moderate this relationship. -
From Desire Coherence and Belief Coherence to Emotions: a Constraint Satisfaction Model
From desire coherence and belief coherence to emotions: A constraint satisfaction model Josef Nerb University of Freiburg Department of Psychology 79085 Freiburg, Germany http://www.psychologie.uni-freiburg.de/signatures/nerb/ [email protected] Abstract The model is able to account for the elicitation of discrete emotions using these five criteria. In the DEBECO archi- Appraisal theory explains the elicitation of emotional reactions as a consequence of subjective evaluations tecture, the five criteria evolve out of three basic principles: based on personal needs, goals, desires, abilities, and belief coherence, desire coherence and belief-desire coher- beliefs. According to the appraisal approach, each emo- ence. Based on these principles, which are all well sup- tion is caused by a characteristic pattern of appraisals, ported by empirical evidence from psychological research, and different emotions are associated with different ap- DEBECO also allows the representation of two elementary praisals. This paper presents the DEBECO architec- types of goals: approach goals and avoidance goals. The ture, a computational framework for modeling the ap- DEBECO architecture is implemented as a parallel con- praisal process. DEBECO is based upon three core straint satisfaction network and is an extension of Thagard’s coherence principles: belief coherence, desire coher- HOTCO model (Thagard, 2000, 2003; Thagard & Nerb, ence and belief-desire coherence. These three coher- 2002). ence mechanisms allow two elementary types of goals to be represented: approach and avoidance goals. By Within DEBECO, emotions are seen as valenced reac- way of concrete simulation examples, it is shown how tions to events, persons or objects, with their particular na- discrete emotions such as anger, pride, sadness, shame, ture being determined by the way in which the eliciting situ- surprise, relief and disappointment emerge out of these ation is construed (cf. -
Emotion Classification Based on Biophysical Signals and Machine Learning Techniques
S S symmetry Article Emotion Classification Based on Biophysical Signals and Machine Learning Techniques Oana Bălan 1,* , Gabriela Moise 2 , Livia Petrescu 3 , Alin Moldoveanu 1 , Marius Leordeanu 1 and Florica Moldoveanu 1 1 Faculty of Automatic Control and Computers, University POLITEHNICA of Bucharest, Bucharest 060042, Romania; [email protected] (A.M.); [email protected] (M.L.); fl[email protected] (F.M.) 2 Department of Computer Science, Information Technology, Mathematics and Physics (ITIMF), Petroleum-Gas University of Ploiesti, Ploiesti 100680, Romania; [email protected] 3 Faculty of Biology, University of Bucharest, Bucharest 030014, Romania; [email protected] * Correspondence: [email protected]; Tel.: +40722276571 Received: 12 November 2019; Accepted: 18 December 2019; Published: 20 December 2019 Abstract: Emotions constitute an indispensable component of our everyday life. They consist of conscious mental reactions towards objects or situations and are associated with various physiological, behavioral, and cognitive changes. In this paper, we propose a comparative analysis between different machine learning and deep learning techniques, with and without feature selection, for binarily classifying the six basic emotions, namely anger, disgust, fear, joy, sadness, and surprise, into two symmetrical categorical classes (emotion and no emotion), using the physiological recordings and subjective ratings of valence, arousal, and dominance from the DEAP (Dataset for Emotion Analysis using EEG, Physiological and Video Signals) database. The results showed that the maximum classification accuracies for each emotion were: anger: 98.02%, joy:100%, surprise: 96%, disgust: 95%, fear: 90.75%, and sadness: 90.08%. In the case of four emotions (anger, disgust, fear, and sadness), the classification accuracies were higher without feature selection. -
The Role of Emotional Valence in Learning Novel Abstract Concepts
Final manuscript, as accepted for publication on Developmental Psychology. © 2020, American Psychological Association. This paper is not the copy of record and may not exactly replicate the final, authoritative version of the article. Please do not copy or cite without authors' permission. The final article will be available, upon publication, via its DOI: 10.1037/dev0001091 The role of emotional valence in learning novel abstract concepts Marta Ponaria, Courtenay Frazier Norburyb, Gabriella Viglioccoc a School of Psychology, University of Kent, Canterbury CT2 7NP, Kent, UK. b Psychology and Language Sciences, University College London, UK. c Department of Experimental Psychology, University College London, UK. Corresponding author: Marta Ponari, School of Psychology, University of Kent, Canterbury CT2 7NP, Kent, UK. Contact: [email protected], +44 (0)1227 82 7411 Declarations of interest: none THE ROLE OF EMOTION IN LEARNING ABSTRACT CONCEPTS 2 THE ROLE OF EMOTION IN LEARNING ABSTRACT CONCEPTS Abstract A recent study by Ponari et al. (2017), showed that emotional valence (i.e., whether a word evokes positive, negative or no affect) predicts age-of-acquisition ratings, and that up to the age of 8-9, children know abstract emotional words better than neutral ones. On the basis of these findings, emotional valence has been argued to provide a bootstrapping mechanism for the acquisition of abstract concepts. However, no previous work has directly assessed whether words’ valence, or valence of the context in which words are used, facilitates learning of unknown abstract words. Here, we investigate whether valence supports acquisition of novel abstract concepts. Seven to 10 years old children were taught novel abstract words and concepts (words typically learnt at an older age and that children did not know); words were either valenced (positive or negative) or neutral. -
Emotional Display Rules As Work Unit Norms: a Multilevel Analysis of Emotional Labor Among Nurses
Journal of Occupational Health Psychology © 2011 American Psychological Association 2011, Vol. 16, No. 2, 170–186 1076-8998/11/$12.00 DOI: 10.1037/a0021725 Emotional Display Rules as Work Unit Norms: A Multilevel Analysis of Emotional Labor Among Nurses James M. Diefendorff Alicia A. Grandey and Rebecca J. Erickson Pennsylvania State University University of Akron Jason J. Dahling The College of New Jersey Emotional labor theory has conceptualized emotional display rules as shared norms governing the expression of emotions at work. Using a sample of registered nurses working in different units of a hospital system, we provided the first empirical evidence that display rules can be represented as shared, unit-level beliefs. Additionally, controlling for the influence of dispositional affectivity, individual-level display rule perceptions, and emotion regulation, we found that unit-level display rules are associated with individual-level job satisfaction. We also showed that unit-level display rules relate to burnout indirectly through individual-level display rule perceptions and emotion regulation strategies. Finally, unit-level display rules also interacted with individual-level dispo- sitional affectivity to predict employee use of emotion regulation strategies. We discuss how future research on emotional labor and display rules, particularly in the health care setting, can build on these findings. Keywords: emotional display rules, emotional labor, emotions, health care, job burnout Stimulated by Ekman and Friesen’s (1975) notion positive -
Trait Positivity Predicts Increased Rejection of Unfair Financial Offers
‘‘I’m Worth More than That’’: Trait Positivity Predicts Increased Rejection of Unfair Financial Offers Barnaby D. Dunn1*, Dasha Makarova2, David Evans1, Luke Clark2 1 Cognition and Brain Sciences Unit, UK Medical Research Council, Cambridge, United Kingdom, 2 Behavioural and Clinical Neuroscience Institute, Department of Experimental Psychology, University of Cambridge, Cambridge, United Kingdom Abstract Humans react strongly to unfairness, sometimes rejecting inequitable proposals even if this sacrifices personal financial gain. Here we explored whether emotional dispositions - trait tendencies to experience positive or negative feelings – shape the rejection of unfair financial offers. Participants played an Ultimatum Game, where the division of a sum of money is proposed and the player can accept or reject this offer. Individuals high in trait positivity and low in trait negativity rejected more unfair offers. These relationships could not be explained by existing accounts which argue that rejection behaviour results from a failure to regulate negative emotions, or serves to arbitrate social relationships and identity. Instead, the relationship between dispositional affect and rejection behaviour may be underpinned by perceived self worth, with those of a positive disposition believing that they are ‘‘worth more than that’’ and those of a negative disposition resigning themselves to ‘‘taking the crumbs from under the table’’. Citation: Dunn BD, Makarova D, Evans D, Clark L (2010) ‘‘I’m Worth More than That’’: Trait Positivity Predicts Increased Rejection of Unfair Financial Offers. PLoS ONE 5(12): e15095. doi:10.1371/journal.pone.0015095 Editor: James A. R. Marshall, University of Sheffield, United Kingdom Received August 5, 2010; Accepted October 20, 2010; Published December 8, 2010 Copyright: ß 2010 Dunn et al. -
Dispositional Positive and Negative Affect and Self-Employment Transitions: the Mediating Role of Job Satisfaction
Dispositional positive and negative affect and self-employment transitions: The mediating role of job satisfaction Boris Nikolaev Affiliation: Hankamer School of Business, Baylor University Address: One Bear Place #98011, Waco, TX 76798 Phone: 813.401.9756 E-mail: [email protected] Nadav Shir Stockholm School of Economics P.O. Box 6501 SE-11383 Stockholm, Sweden [email protected] and Hanken School of Economics Arkadiankatu 22, 001 01 Helsinki, Finland [email protected] Johan Wiklund Whitman School of Management Syracuse University, 721 University Avenue/Suite 116 Syracuse NY 13244-2450, United States [email protected] Forthcoming in Entrepreneurship Theory & Practice * This paper uses unit record data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. The HILDA Project was initiated and is funded by the Australian Government Department of Social Services (DSS) and is managed by the Melbourne Institute of Applied Economic and Social Research (Melbourne Institute). The findings and views reported in this paper, however, are those of the author and should not be attributed to either DSS or the Melbourne Institute. We would like to thank the associate editor and three anonymous reviewers for their helpful and developmental comments. 1 Abstract: Affect is increasingly studied within entrepreneurship. We develop a partial mediation model in which positive and negative dispositional affect influences entry into entrepreneurship, suggesting that those experiencing greater negative affect experience less job satisfaction and are more likely to enter entrepreneurship. Using a novel methodological approach to capture affective disposition, we test our model on a large panel dataset from Australia, finding support for our hypotheses.