Emotionat Reasoning
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Bad Is Stronger Than Good
Review of General Psychology Copyright 2001 by the Educational Publishing Foundation 2001. Vol. 5. No. 4. 323-370 1089-2680/O1/S5.O0 DOI: 10.1037//1089-2680.5.4.323 Bad Is Stronger Than Good Roy F. Baumeister and Ellen Bratslavsky Catrin Finkenauer Case Western Reserve University Free University of Amsterdam Kathleen D. Vohs Case Western Reserve University The greater power of bad events over good ones is found in everyday events, major life events (e.g., trauma), close relationship outcomes, social network patterns, interper- sonal interactions, and learning processes. Bad emotions, bad parents, and bad feedback have more impact than good ones, and bad information is processed more thoroughly than good. The self is more motivated to avoid bad self-definitions than to pursue good ones. Bad impressions and bad stereotypes are quicker to form and more resistant to disconfirmation than good ones. Various explanations such as diagnosticity and sa- lience help explain some findings, but the greater power of bad events is still found when such variables are controlled. Hardly any exceptions (indicating greater power of good) can be found. Taken together, these findings suggest that bad is stronger than good, as a general principle across a broad range of psychological phenomena. Centuries of literary efforts and religious pothesis that bad is stronger than good (see also thought have depicted human life in terms of a Rozin & Royzman, in press). That is, events struggle between good and bad forces. At the that are negatively valenced (e.g., losing metaphysical level, evil gods or devils are the money, being abandoned by friends, and receiv- opponents of the divine forces of creation and ing criticism) will have a greater impact on the harmony. -
A Multimodal Attention Mechanism for Autonomous Mobile Robotics
IX WORKSHOP DE AGENTES FÍSICOS, SEPTIEMBRE 2008, VIGO A Multimodal Attention Mechanism for Autonomous Mobile Robotics Raúl Arrabales, Agapito Ledezma and Araceli Sanchis extensively applied in robotics, e.g. [2]. However, much less Abstract— Whatever the mission of an autonomous mobile effort has been put in pure multimodal attention mechanisms robot is, attention is a helpful cognitive capability when dealing [7]. Usually attention mechanisms for robots focus in great with real world environments. In this paper we present a novel degree in visual sensory information; nevertheless, some control architecture which enables an integrated and efficient salient examples incorporate data from other sensors in the filtering of multiple modality sensory information. The concept of context is introduced as the set of criteria that determines attention mechanism. For instance, laser range finders [9]. what sensory information is relevant to the current mission. In this work we present a purely multimodal attention The proposed attention mechanism uses these contexts as a mechanism, in which vision could be eventually mean to adaptively select the constrained cognitive focus of the incorporated, but has not been used for preliminary testing. robot within the vast multimodal sensory space available. This Instead, bumpers and sonar range finders have been applied. approach for artificial attention is tested in the domain of autonomous mapping. In the next sections we discuss the implementation of an Index Terms— Physical agents, Attention, cognitive attention mechanism able to fulfill the requirement of modeling, mobile robotics. selecting relevant sensorimotor information. Section II covers the definition of the attentional contexts that are used I. INTRODUCTION to form sets of sensory and motor data. -
EMOTIONAL REASONING and DECISION MAKING Understanding and Regulating Emotions That Serve People’S Goals
EMOTIONAL REASONING AND DECISION MAKING Understanding and regulating emotions that serve people’s goals Paula C. Peter Dissertation Submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy In Marketing Dr. David Brinberg, Chair Dr. Eloise Coupey Dr. Kent Nakamoto Dr. Jim Jaccard April 11, 2007 Blacksburg, Virginia Keywords: Emotional Intelligence, Decision Making, Consumer Health Copyright 2007, Paula C. Peter EMOTIONAL REASONING AND DECISION MAKING Understanding and regulating emotions that serve people’s goals Paula C. Peter (ABSTRACT) Increasing physical activity and adopting a healthy diet have the goal to enhance consumer welfare. The goal of this set of studies is to contribute to a research agenda that tries to support and enhance the life of consumers, through the exploration of emotional intelligence as a new possible avenue of research related to consumer behavior and health. Four studies are proposed that look at the possibility to introduce emotional intelligence in decision making and performance related to health (i.e. adoption and maintenance of a healthy diet/weight). The findings suggest the salient role of emotional reasoning (i.e. understanding and regulation of emotions) on decision making and performance related to health. Training on emotional intelligence and health seems to activate mechanisms that help people to use their knowledge in the right direction in order to make better decisions and improve performance related to health (i.e. adoption/maintenance of healthy diet/weight) DEDICATION This dissertation is dedicated to: my mom , my role model my dad , my biggest fan Alessio , my anchor iii ACKNOWLEDGEMENTS To David Brinberg. -
Facts About EMOTIONAL REASONING
Volume 7 Issue 1 (2016) Facts about EMOTIONAL REASONING A thought is not a fact. Yet we often allow our thoughts to affect how we feel and what we do. These then affect our well-being and our relationships as in the case of Mr Tan and Jane. *Mr Tan thinks, ‘My children are beginning to talk back at me the way their mother argues with me. My wife must have taught the children to dishonour me.’ Does he have evidence to support his suspicion? No. Yet Mr Tan is angry with his wife at this thought and resents his children for learning the wrong things from their mother. Where does this thought come from if it is not based on evidence? may have birthed the thought that his wife has make better sense of our experiences influenced his children. In Jane’s case, her by better engaging our reasoning. *Jane thinks, ‘I am going to do badly in anxiety and fear of failure resulted in her From time to time, we continue to fall this examination.’ The fact is, she has thinking that she will do badly. back on emotional reasoning out of completed her revisions and could habit. We are most vulnerable to doing complete the past years’ questions. Yet More examples of such thoughts are:- so during times when we are stressed. that thought causes her sleepless nights. ‘I feel unworthy, therefore I am worthless.’ ‘I Where does that thought come from if it feel unloved therefore I am unlovable.’ ‘I feel A group of people, however, may find it is not based on fact? unappreciated therefore I am useless.’ a challenge to get out of this mode of operating psychologically. -
1 the Madness That Is the World: Young Activist's Emotional
The Madness that Is The World: Young activist’s emotional reasoning and their participation in a local Occupy movement Abstract: The focus of this paper is young people’s participation in the Occupy protest movement that emerged in the early autumn of 2011. Its concern is with the emotional dimensions of this and in particular the significance of emotions to the reasoning of young people who came to commit significant time and energy to the movement. Its starting point is the critique of emotions as narrowly subjective, whereby the passions that events like Occupy arouse are treated as beyond the scope of human reason. The rightful rejection of this reductionist argument has given rise to an interest in understandings of the emotional content of social and political protest as normatively constituted, but this paper seeks a different perspective by arguing that the emotions of Occupy activists can be regarded as a reasonable force. It does so by discussing findings from long-term qualitative research with a Local Occupy movement somewhere in England and Wales. Using the arguments of social realists, the paper explores this data to examine why things matter sufficiently for young people to care about them and how the emotional force that this involves constitutes an indispensable source of reason in young activists’ decisions to become involved in Local Occupy. Keywords: young people, emotion, social movements, Occupy, reason, reasoning In his rapid response to the international emergence of the Occupy movement, Manuel Castells (2012) begins with a lament for the categorical exclusion of individuals from studies of social movements. -
How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test
Journal of Intelligence Article How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test Daniel V. Simonet 1,*, Katherine E. Miller 2 , Kevin L. Askew 1, Kenneth E. Sumner 1, Marcello Mortillaro 3 and Katja Schlegel 4 1 Department of Psychology, Montclair State University, Montclair, NJ 07043, USA; [email protected] (K.L.A.); [email protected] (K.E.S.) 2 Mental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA 19104, USA; [email protected] 3 Swiss Center for Affective Sciences, University of Geneva, 1205 Geneva, Switzerland; [email protected] 4 Institute of Psychology, University of Bern, 3012 Bern, Switzerland; [email protected] * Correspondence: [email protected] Abstract: Drawing upon multidimensional theories of intelligence, the current paper evaluates if the Geneva Emotional Competence Test (GECo) fits within a higher-order intelligence space and if emotional intelligence (EI) branches predict distinct criteria related to adjustment and motivation. Using a combination of classical and S-1 bifactor models, we find that (a) a first-order oblique and bifactor model provide excellent and comparably fitting representation of an EI structure with self-regulatory skills operating independent of general ability, (b) residualized EI abilities uniquely Citation: Simonet, Daniel V., predict criteria over general cognitive ability as referenced by fluid intelligence, and (c) emotion Katherine E. Miller, Kevin L. Askew, recognition and regulation incrementally predict grade point average (GPA) and affective engagement Kenneth E. Sumner, Marcello Mortillaro, and Katja Schlegel. 2021. in opposing directions, after controlling for fluid general ability and the Big Five personality traits. -
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Emotional Intelligence and Conflict Resolution
Emotional Intelligence and Conflict Resolution By: Fred McGrath Fred McGrath & Associates Presented at: ACLEA 49th Mid‐Year Meeting February 2‐5, 2013 Clearwater, FL Fred McGrath Fred McGrath & Associates Saint Paul, MN Fred McGrath has been designing and delivering experiential, interactive keynotes, seminars, and webinars for legal professionals and business leaders for over 20 years. His strong advocacy of inclusive, improv‐based training stems from a successful acting/screenwriting career in Hollywood. Before focusing solely on leaderships training, Fred was a busy working actor and veteran of over 100 national commercials as well as numerous co‐starring roles in network dramas and sitcoms. Always exceeding expectation with no shortage of fun and laughs, Fred engages participants on a wide variety of topics with his unique approach. Year after year, Fred continues to be one of the highest‐rated professional development trainer/coaches anywhere. “In the corporation of the future, new leaders will not be masters, but maestros. The leadership task will be to anticipate the signs of coming change, to inspire creativity, and to get the best ideas from everybody. ‐‐Ned Herrmann, author of The Creative Brain “Cognitive learning promotes improved knowledge. Experiential learning promotes improved behavior. ‐‐Fred McGrath The Advantages of Emotional Intelligence and Experiential Training Emotional Intelligence (EI), the key to improving client building, existing relationships, negotiation techniques and leadership skills, can best be taught, accessed, coached, developed and enhanced by using improvisation techniques to support emotive learning. Cognitive learning is less effective because it is knowledge‐based. As such, comprehending the concepts of EI is not enough. -
Neuroscience Impact Brain and Business
Innovation Trend Report Neuroscience Impact Brain and Business NEUROSCIENCE IMPACT – BRAIN AND BUSINESS INTRODUCTION This work is licensed under a Creative Commons Attribution-NonCommercial- Acknowledgements NoDerivatives 4.0 International. We would like to extend a special thanks to all of the companies and To view a copy of this license, visit: individuals who participated in our Report with any kind of contribution. https://creativecommons.org/licenses/ The following companies agreed to be publicly named and gave us by-nc-nd/4.0/ or send a letter to: Creative precious content to be published: Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, USA. Dreem Neural Sense Emotiv Neuralya Halo Neuroscience Paradromics Mindmaze Pymetrics Neuron Guard Synetiq We would also like to thank the following individuals for helping us with precious suggestions and information: Russel Poldrack, Professor of Psychology at Stanford University, CA, USA; John Dylan-Haynes, Professor at the Bernstein Center for Computational Neuroscience Berlin, Germany; Carlo Miniussi, Director of Center for Mind/Brain Sciences – CIMeC, University of Trento, Rovereto TN Italy; Zaira Cattaneo, Associate Professor in Psychobiology and Physiological Psychology, Department of Psychology, University of Milano-Bicocca, Milano, Italy; Nadia Bolognini, University of Milano Bicocca, Department of Psychology, & IRCCS Istituto Auxologico Italiano, Laboratory of Neuropsychology; Dario Nardi, Author, speaker and expert in the fields of neuroscience and personality; Intesa Sanpaolo Innovation Center Nick Chater, Professor of Behavioral Science at Warwick Business School; assumes no responsibility on the Enrico Maria Cervellati, Associate Professor of Corporate Finance external linked content, both in terms of at the Department of Management Ca’ Foscari University of Venice; availability that of immutability in time. -
Emotional Reasoning and Parent-Based Reasoning in Normal Children
Morren, M., Muris, P., Kindt, M. Emotional reasoning and parent-based reasoning in normal children. Child Psychiatry and Human Development: 35, 2004, nr. 1, p. 3-20 Postprint Version 1.0 Journal website http://www.springerlink.com/content/105587/ Pubmed link http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dop t=Abstract&list_uids=15626322&query_hl=45&itool=pubmed_docsum DOI 10.1023/B:CHUD.0000039317.50547.e3 Address correspondence to M. Morren, Department of Medical, Clinical, and Experimental Psychology, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands; e-mail: [email protected]. Emotional Reasoning and Parent-based Reasoning in Normal Children MATTIJN MORREN, MSC; PETER MURIS, PHD; MEREL KINDT, PHD DEPARTMENT OF MEDICAL, CLINICAL AND EXPERIMENTAL PSYCHOLOGY, MAASTRICHT UNIVERSITY, THE NETHERLANDS ABSTRACT: A previous study by Muris, Merckelbach, and Van Spauwen1 demonstrated that children display emotional reasoning irrespective of their anxiety levels. That is, when estimating whether a situation is dangerous, children not only rely on objective danger information but also on their own anxiety-response. The present study further examined emotional reasoning in children aged 7–13 years (N =508). In addition, it was investigated whether children also show parent-based reasoning, which can be defined as the tendency to rely on anxiety-responses that can be observed in parents. Children completed self-report questionnaires of anxiety, depression, and emotional and parent-based reasoning. Evidence was found for both emotional and parent-based reasoning effects. More specifically, children’s danger ratings were not only affected by objective danger information, but also by anxiety-response information in both objective danger and safety stories. -
Journal of Work and Organizational Psychology 32 (2016) 25–37
Journal of Work and Organizational Psychology 32 (2016) 25–37 Journal of Work and Organizational Psychology www.elsevier.es/rpto Counterproductive work behavior among frontline government employees: Role of personality, emotional intelligence, affectivity, emotional labor, and emotional exhaustion a b,∗ c Ponniah Raman , Murali Sambasivan , Naresh Kumar a Putra Business School, Universiti Putra Malaysia, Serdang, Malaysia b Taylor’s Business School, Taylor’s University Lakeside Campus, Subang Jaya, Malaysia c Global Entrepreneurship Research and Innovation Center, Universiti Malaysia Kelantan, Technology Park Malaysia, Bukit Jalil, Malaysia a b s t r a c t a r t i c l e i n f o Article history: The main objective of this research is to study the effect of personality, emotional intelligence (EI), affectiv- Received 7 January 2015 ity, emotional labor and emotional exhaustion on counterproductive work behavior (CWB) of frontline Accepted 24 November 2015 employees in the government sector. A questionnaire was designed and distributed to 625 frontline Available online 28 January 2016 employees working at service counters in 25 ministries in Malaysia. We received responses from 519 employees (response rate = 83%). The data was analyzed using Structural Equation Modeling (SEM). The Keywords: main findings are: (1) personality factors of employees drive their EI, affectivity, emotional labor, emo- Counterproductive work behavior tional exhaustion, and CWB and (2) EI and affectivity impact emotional labor, emotional exhaustion and Personality traits CWB. Through the integrated model, we have studied the indirect roles of emotional labor and emotional Affectivity exhaustion. This is one of the few studies that have effectively integrated the five constructs into a single Emotional labor Emotional exhaustion framework to study their effects on CWB. -
Redalyc.Schizotypy, Alexithymia and Affect As Predictors of Facial
Anuario de Psicología ISSN: 0066-5126 [email protected] Universitat de Barcelona España Rus-Calafell, M.; Gutiérrez-Maldonado, J.; Frerich, N. Schizotypy, Alexithymia and Affect as predictors of Facial Emotion Recognition Capability using static and dynamic images Anuario de Psicología, vol. 43, núm. 1, abril, 2013, pp. 7-21 Universitat de Barcelona Barcelona, España Available in: http://www.redalyc.org/articulo.oa?id=97027472001 How to cite Complete issue Scientific Information System More information about this article Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Journal's homepage in redalyc.org Non-profit academic project, developed under the open access initiative Anuario de Psicología/The UB Journal of Psychology 2013, vol. 43, nº 1, 7-21 © 2013, Facultat de Psicologia Universitat de Barcelona Schizotypy, Alexithymia and Affect as predictors of Facial Emotion Recognition Capability using static and dynamic images M. Rus-Calafell J. Gutiérrez-Maldonado N. Frerich Universitat de Barcelona The main purpose of the present study is to investigate the capacity of schizotypy and alexithymia traits, in combination with affectivity to predict facial emotion recognition capability in a sample of nonclinical adults. Consecutive healthy participants (N= 98) were investigated using the Toronto Alexithymia Scale-20 (TAS-20), the Oxford-Liverpool Inventory of Feelings and Experiences-Reduced Version (O-LIFE-R), and the Positive and NA Schedule (PANAS). A set of validated photographs (static images) and virtual faces (dynamic images) for presenting the basic emotions was used to assess emotion recognition. Pearson correlations were applied to investigate the relationship between the study variables; the amount of variance in emotion recognition capability predicted by OLIFE-R, TAS-20 and PANAS was calculated by using the linear regression model.