Emotions and Decision Making, P. 1
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On the Interaction of Social Affect and Cognition: Empathy, Compassion and Theory of Mind
Available online at www.sciencedirect.com ScienceDirect On the interaction of social affect and cognition: empathy, compassion and theory of mind 1 1,2 1 Katrin Preckel , Philipp Kanske and Tania Singer Empathy, compassion and Theory of Mind (ToM) are central which may be detrimental to the observer and to others topics in social psychology and neuroscience. While empathy and compassion, on the other hand, which is a feeling of enables the sharing of others’ emotions and may result in warmth and concern for the other. We conclude with a empathic distress, a maladaptive form of empathic resonance, concise summary and an opinion statement. or compassion, a feeling of warmth and concern for others, ToM provides cognitive understanding of someone else’s Defining and neurally characterizing empathy, thoughts or intentions. These socio-affective and socio- compassion and Theory of Mind cognitive routes to understanding others are subserved by Empathy describes the process of sharing feelings, that is, separable, independent brain networks. Nonetheless they are resonating with someone else’s feelings, regardless of jointly required in many complex social situations. A process valence (positive/negative), but with the explicit knowl- that is critical for both, empathy and ToM, is self-other edge that the other person is the origin of this emotion [1]. distinction, which is implemented in different temporoparietal This socio-affective process results from neural network brain regions. Thus, adaptive social behavior is a result of activations that resemble those activations observed dynamic interplay of socio-affective and socio-cognitive when the same emotion is experienced first-hand (shared processes. -
Expectancy and Musical Emotion Effects of Pitch and Timing
Manuscript Expectancy and musical emotion Effects of pitch and timing expectancy on musical emotion Sauvé, S. A.1, Sayed, A.1, Dean, R. T.2, Pearce, M. T.1 1Queen Mary, University of London 2Western Sydney University Author Note Correspondence can be addressed to Sarah Sauvé at [email protected] School of Electronic Engineering and Computer Science Queen Mary University of London, Mile End Road London E1 4NS United Kingdom +447733661107 Biographies S Sauve: Originally a pianist, Sarah is now a PhD candidate in the Electronic Engineering and Computer Science department at Queen Mary University of London studying expectancy and stream segregation, supported by a college studentship. EXPECTANCY AND MUSICAL EMOTION 2 A Sayed: Aminah completed her MSc in Computer Science at Queen Mary University of London, specializing in multimedia. R.T. Dean: Roger is a composer/improviser and researcher at the MARCS Institute for Brain, Behaviour and Development. His research focuses on music cognition and music computation, both analytic and generative. M.T. Pearce: Marcus is Senior Lecturer at Queen Mary University of London, director of the Music Cognition and EEG Labs and co-director of the Centre for Mind in Society. His research interests cover computational, psychological and neuroscientific aspects of music cognition, with a particular focus on dynamic, predictive processing of melodic, rhythmic and harmonic structure, and its impact on emotional and aesthetic experience. He is the author of the IDyOM model of auditory expectation based on statistical learning and probabilistic prediction. EXPECTANCY AND MUSICAL EMOTION 3 Abstract Pitch and timing information work hand in hand to create a coherent piece of music; but what happens when this information goes against the norm? Relationships between musical expectancy and emotional responses were investigated in a study conducted with 40 participants: 20 musicians and 20 non-musicians. -
The Influence of Emotional States on Short-Term Memory Retention by Using Electroencephalography (EEG) Measurements: a Case Study
The Influence of Emotional States on Short-term Memory Retention by using Electroencephalography (EEG) Measurements: A Case Study Ioana A. Badara1, Shobhitha Sarab2, Abhilash Medisetty2, Allen P. Cook1, Joyce Cook1 and Buket D. Barkana2 1School of Education, University of Bridgeport, 221 University Ave., Bridgeport, Connecticut, 06604, U.S.A. 2Department of Electrical Engineering, University of Bridgeport, 221 University Ave., Bridgeport, Connecticut, 06604, U.S.A. Keywords: Memory, Learning, Emotions, EEG, ERP, Neuroscience, Education. Abstract: This study explored how emotions can impact short-term memory retention, and thus the process of learning, by analyzing five mental tasks. EEG measurements were used to explore the effects of three emotional states (e.g., neutral, positive, and negative states) on memory retention. The ANT Neuro system with 625Hz sampling frequency was used for EEG recordings. A public-domain library with emotion-annotated images was used to evoke the three emotional states in study participants. EEG recordings were performed while each participant was asked to memorize a list of words and numbers, followed by exposure to images from the library corresponding to each of the three emotional states, and recall of the words and numbers from the list. The ASA software and EEGLab were utilized for the analysis of the data in five EEG bands, which were Alpha, Beta, Delta, Gamma, and Theta. The frequency of recalled event-related words and numbers after emotion arousal were found to be significantly different when compared to those following exposure to neutral emotions. The highest average energy for all tasks was observed in the Delta activity. Alpha, Beta, and Gamma activities were found to be slightly higher during the recall after positive emotion arousal. -
Examining Defensive Distancing Behavior in Close Relationships
Examining defensive distancing behavior in close relationships: The role of self-esteem and emotion regulation Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Arts in the Graduate School of The Ohio State University By Monica E. Lindgren, B.A. Psychology Graduate Program The Ohio State University 2012 Thesis Committee: Professor Janice K. Kiecolt-Glaser, Ph.D., Advisor Professor Julian Thayer, Ph.D. Professor Jennifer Cheavens, Ph.D. i Copyrighted by Monica E. Lindgren 2012 ii Abstract The risk regulation model proposes that people with low self-esteem (LSE), but not those with high self-esteem (HSE), react to potential threats to belonging by defensively distancing from their relationships. The present study hypothesized that self-focused rumination following threats to belonging, by forcing people with LSE to spend time considering their self-worth, would enhance this defensive distancing behavior. Participants were asked to recall self-relevant feedback they had received from someone they considered very close, and then completed a rumination or distraction task. Contrary to expectations, LSEs who were instructed to distract from threats to belonging reported more negative behavioral intentions towards their close other than those who were instructed to ruminate. However, in comparison to distraction, there was a trend for rumination to amplify LSEs’ negative affect following the recalled threats to belonging. Results are discussed in terms of their implications for risk regulation theory and for possible future directions. ii Acknowledgements I would like to thank my advisor, Dr. Janice Kiecolt-Glaser, for all her support, feedback, and guidance over the past few years. -
Anger in Negotiations: a Review of Causes, Effects, and Unanswered Questions David A
Negotiation and Conflict Management Research Anger in Negotiations: A Review of Causes, Effects, and Unanswered Questions David A. Hunsaker Department of Management, University of Utah, Salt Lake City, UT, U.S.A. Keywords Abstract anger, negotiation, emotion, attribution. This article reviews the literature on the emotion of anger in the negotia- tion context. I discuss the known antecedents of anger in negotiation, as Correspondence well as its positive and negative inter- and intrapersonal effects. I pay par- David Hunsaker, David Eccles ticular attention to the apparent disagreements within the literature con- School of Business, Spencer Fox cerning the benefits and drawbacks of using anger to gain advantage in Eccles Business Building, negotiations and employ Attribution Theory as a unifying mechanism to University of Utah, 1655 East Campus Center Drive, Salt Lake help explain these diverse findings. I call attention to the weaknesses evi- City, UT 84112, U.S.A.; e-mail: dent in current research questions and methodologies and end with sug- david.hunsaker@eccles. gestions for future research in this important area. utah.edu. What role does anger play in the negotiation context? Can this emotion be harnessed and manipulated to increase negotiating power and improve negotiation outcomes, or does it have inevitable downsides? The purpose of this article is to review the work of scholars that have focused on the emotion of anger within the negotiation context. I begin by offering some background on the field of research to be reviewed. I then explain why Attri- bution Theory is particularly helpful in making sense of diverse findings in the field. -
Why Feelings Stray: Sources of Affective Misforecasting in Consumer Behavior Vanessa M
Why Feelings Stray: Sources of Affective Misforecasting in Consumer Behavior Vanessa M. Patrick, University of Georgia Deborah J. MacInnis, University of Southern California ABSTRACT drivers of AMF has considerable import for consumer behavior, Affective misforecasting (AMF) is defined as the gap between particularly in the area of consumer satisfaction, brand loyalty and predicted and experienced affect. Based on prior research that positive word-of-mouth. examines AMF, the current study uses qualitative and quantitative Figure 1 depicts the process by which affective misforecasting data to examine the sources of AMF (i.e., why it occurs) in the occurs (for greater detail see MacInnis, Patrick and Park 2005). As consumption domain. The authors find evidence supporting some Figure 1 suggests, affective forecasts are based on a representation sources of AMF identified in the psychology literature, develop a of a future event and an assessment of the possible affective fuller understanding of others, and, find evidence for novel sources reactions to this event. AMF occurs when experienced affect of AMF not previously explored. Importantly, they find consider- deviates from the forecasted affect on one or more of the following able differences in the sources of AMF depending on whether dimensions: valence, intensity and duration. feelings are worse than or better than forecast. Since forecasts can be made regarding the valence of the feelings, the specific emotions expected to be experienced, the INTRODUCTION intensity of feelings or the duration of a projected affective re- Before purchase: “I can’t wait to use this all the time, it is sponse, consequently affective misforecasting can occur along any going to be so much fun, I’m going to go out with my buddies of these dimensions. -
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. -
Social Comparison As the Thief of Joy: Emotional Consequences of Viewing Strangers' Instagram Posts De Vries, D.A.; Möller, A.M.; Wieringa, M.S.; Eigenraam, A.W
UvA-DARE (Digital Academic Repository) Social comparison as the thief of joy: Emotional consequences of viewing strangers' Instagram posts de Vries, D.A.; Möller, A.M.; Wieringa, M.S.; Eigenraam, A.W. ; Hamelink, K. DOI 10.1080/15213269.2016.1267647 Publication date 2018 Document Version Final published version Published in Media Psychology License CC BY-NC-ND Link to publication Citation for published version (APA): de Vries, D. A., Möller, A. M., Wieringa, M. S., Eigenraam, A. W., & Hamelink, K. (2018). Social comparison as the thief of joy: Emotional consequences of viewing strangers' Instagram posts. Media Psychology, 21(2), 222-245. https://doi.org/10.1080/15213269.2016.1267647 General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl) Download date:01 Oct 2021 MEDIA PSYCHOLOGY 2018, VOL. -
I'm Sad You're Sad: Emotional Contagion In
I’m Sad You’re Sad: Emotional Contagion in CMC Jeffrey T. Hancock,1,2 Kailyn Gee,2 Kevin Ciaccio2 & Jennifer Mae-Hwah Lin1 1Information Science 2Department of Communication Cornell University jth34, kg95, kac83, jml232 @cornell.edu ABSTRACT necessarily undermined in CMC. For example, in one An enduring assumption about computer-mediated study, participants were asked to act nicely or meanly to a communication is that it undermines emotional communication partner during a get to know you type task understanding. The present study examined emotional that took place either FtF or in CMC [11]. The results communication in CMC by inducing negative affect in one revealed that the partners could discern the likable and condition and neutral affect in another. The results revealed dislikable participants as accurately in the CMC condition that 1) participants experiencing negative affect produced as in the FtF condition. In a second study that more directly fewer words, used more sad terms, and exchanged examined emotional expression, participants acted either messages at a slower rate, 2) their partners were able to happy or sad while interacting with a partner through detect their partners emotional state, and 3) emotional Instant Messenger [7]. After the interaction, partners were contagion took place, in which partners interacting with easily able to determine whether their partner seemed happy participants in the negative affect condition had or sad. The study also provided some indications of how significantly less positive affect than partners in the control emotion is communicated through text: participants acting condition. These data support a relational view of CMC. sad used fewer words, agreed less with their partner, used Author Keywords less punctuation, and responded less quickly than Computer-mediated communication, Emotion, Affect participants acting happy (see also work by Gill et al, [4]). -
1 Utility and Happiness Miles Kimball and Robert Willis1 University of Michigan October 30, 2006 Abstract: Psychologists Have D
Utility and Happiness Miles Kimball and Robert Willis1 University of Michigan October 30, 2006 Abstract: Psychologists have developed effective survey methods of measuring how happy people feel at a given time. The relationship between how happy a person feels and utility is an unresolved question. Existing work in Economics either ignores happiness data or assumes that felt happiness is more or less the same thing as flow utility. The approach we propose in this paper steers a middle course between the two polar views that “happiness is irrelevant to Economics” and the view that “happiness is a sufficient statistic for utility.” We argue that felt happiness is not the same thing as flow utility, but that it does have a systematic relationship to utility. In particular, we propose that happiness is the sum of two components: (1) elation--or short-run happiness--which depends on recent news about lifetime utility and (2) baseline mood--or long-run happiness--which is a subutility function much like health, entertainment, or nutrition. In principle, all of the usual techniques of price theory apply to baseline mood, but the application of those techniques is complicated by the fact that many people may not know the true household production function for baseline mood. If this theory is on target, there are two reasons data on felt happiness is important for Economics. First, short-run happiness in response to news can give important information about preferences. Second, long-run happiness is important for economic welfare in the same way as other higher-order goods such as health, entertainment, or nutrition. -
Finding the Golden Mean: the Overuse, Underuse, and Optimal Use of Character Strengths
Counselling Psychology Quarterly ISSN: 0951-5070 (Print) 1469-3674 (Online) Journal homepage: https://www.tandfonline.com/loi/ccpq20 Finding the golden mean: the overuse, underuse, and optimal use of character strengths Ryan M. Niemiec To cite this article: Ryan M. Niemiec (2019): Finding the golden mean: the overuse, underuse, and optimal use of character strengths, Counselling Psychology Quarterly, DOI: 10.1080/09515070.2019.1617674 To link to this article: https://doi.org/10.1080/09515070.2019.1617674 Published online: 20 May 2019. Submit your article to this journal View Crossmark data Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=ccpq20 COUNSELLING PSYCHOLOGY QUARTERLY https://doi.org/10.1080/09515070.2019.1617674 ARTICLE Finding the golden mean: the overuse, underuse, and optimal use of character strengths Ryan M. Niemiec VIA Institute on Character, Cincinnati, OH, USA ABSTRACT ARTICLE HISTORY The science of well-being has catalyzed a tremendous amount of Received 28 February 2019 research with no area more robust in application and impact than Accepted 8 May 2019 the science of character strengths. As the empirical links between KEYWORDS character strengths and positive outcomes rapidly grow, the research Character strengths; around strength imbalances and the use of strengths with problems strengths overuse; strengths and conflicts is nascent. The use of character strengths in understand- underuse; optimal use; ing and handling life suffering as well as emerging from it, is particularly second wave positive aligned within second wave positive psychology. Areas of particular psychology; golden mean promise include strengths overuse and strengths underuse, alongside its companion of strengths optimaluse.Thelatterisviewedasthe golden mean of character strengths which refers to the expression of the right combination of strengths, to the right degree, and in the right situation. -
Making Sense of Emotional Contagion
Making Sense of Emotional Contagion Carme Isern-Mas † [email protected] Antoni Gomila † [email protected] ABSTRACT Emotional contagion is a phenomenon that has attracted much interest in recent times. However, the main theory, mimicry theory, fails to properly address its many facets. In particular, we will focus on two shortcomings: the elicitation of emotional contagion is not context-independent, and there can be cases of emotional contagion without motor mimicry. We contend that a general theory of emotion elicitation (such as Scherer’s Component Process Model of Emotion) is better suited to account for these features, because of its multi-level appraisal component. From this standpoint, emotional contagion is viewed as a particular kind of emotional response that involves the same components and processes of emotional responses in general. 1. Introduction Emotions appear to be contagious (Dezecache, Eskenazi, & Grèzes, 2016; Doherty, 1997). Examples abound: there is the phenomenon of laugher contagion (Provine, 2012); mothers share the distress of their children (Manini et al., 2013); friends tend to converge on their feelings (McIntosh, 2006); 2- or 4-day-old newborns cry when they hear the cry of another newborn, but not when they hear another noise (Simner, 1971). Clinical psychologists are likely to catch their patients’ feelings, especially in cases of depression where expressions of sadness might be especially salient (Hatfield, Cacioppo, & Rapson, 1993). Different terms have been used to describe this phenomenon in which one person catches up the emotion of another, such as “emotional propagation”, “emotional replication” (Dezecache, Jacob, & Grèzes, 2015), or † Human Evolution and Cognition Group (EvoCog), UIB, IFISC, Associated Unit to CSIC, 07122 Palma, Spain.