Pathological Disgust: in the Thoughts, Not the Eye, of the Beholder
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How Fun Are Your Meetings? Investigating the Relationship Between Humor Patterns in Team Interactions and Team Performance
University of Nebraska at Omaha DigitalCommons@UNO Psychology Faculty Publications Department of Psychology 11-2014 How fun are your meetings? Investigating the relationship between humor patterns in team interactions and team performance Nale Lehmann-Willenbrock Vrije University Amsterdam Joseph A. Allen University of Nebraska at Omaha, [email protected] Follow this and additional works at: https://digitalcommons.unomaha.edu/psychfacpub Part of the Industrial and Organizational Psychology Commons Recommended Citation Lehmann-Willenbrock, Nale and Allen, Joseph A., "How fun are your meetings? Investigating the relationship between humor patterns in team interactions and team performance" (2014). Psychology Faculty Publications. 118. https://digitalcommons.unomaha.edu/psychfacpub/118 This Article is brought to you for free and open access by the Department of Psychology at DigitalCommons@UNO. It has been accepted for inclusion in Psychology Faculty Publications by an authorized administrator of DigitalCommons@UNO. For more information, please contact [email protected]. In press at Journal of Applied Psychology How fun are your meetings? Investigating the relationship between humor patterns in team interactions and team performance Nale Lehmann-Willenbrock1 & Joseph A. Allen2 1 VU University Amsterdam 2 University of Nebraska at Omaha Acknowledgements The initial data collection for this study was partially supported by a grant from the German Research Foundation, which is gratefully acknowledged. We appreciate the support by Simone Kauffeld and the helpful feedback by Steve Kozlowski. Abstract Research on humor in organizations has rarely considered the social context in which humor occurs. One such social setting that most of us experience on a daily basis concerns the team context. Building on recent theorizing about the humor—performance association in teams, this study seeks to increase our understanding of the function and effects of humor in team interaction settings. -
Spring-And-Summer-Fun-Pack.Pdf
Spring & Summer FUN PACK BUILD OUR KIDS' SUCCESS Find many activities for kids in Kindergarten through Grade 9 to get moving and stay busy during the warmer months. Spring & Summer FUN PACK WHO IS THIS BOOKLET FOR? 1EVERYONE – kids, parents, camps, childcare providers, and anyone that is involved with kids this summer. BOKS has compiled a Spring & Summer Fun Pack that is meant to engage kids and allow them to “Create Their Own Adventure of Fun” for the warmer weather months. This package is full of easy to follow activities for kids to do independently, as a family, or for camp counselors/childcare providers to engage kids on a daily basis. We have included a selection of: BOKS Bursts (5–10 minute activity breaks) BOKS lesson plans - 30 minutes of fun interactive lessons including warm ups, skill work, games and nutrition bits with video links Crafts Games Recipes HOW DOES THIS WORK? Choose two or three activities daily from the selection outlined on page 4: 1. Get physically active with Bursts and/or BOKS fitness classes. 2. Be creative with cooking and crafts. 3. Have fun outdoors (or indoors), try our games! How do your kids benefit? • Give kids time to play and have fun. • Get kids moving toward their 60 minutes of recommended daily activity. • Build strong bones and muscles with simple fitness skills. • Reduce symptoms of anxiety. • Encourage a love of physical activity through engaging games. • We encourage your kids to have fun creating their own BOKS adventure. WHO WE ARE… BOKS (Build Our Kids' Success) is a FREE physical activity program designed to get kids active and establish a lifelong commitment to health and fitness. -
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. -
What We Mean When We Talk About Suffering—And Why Eric Cassell Should Not Have the Last Word
What We Mean When We Talk About Suffering—and Why Eric Cassell Should Not Have the Last Word Tyler Tate, Robert Pearlman Perspectives in Biology and Medicine, Volume 62, Number 1, Winter 2019, pp. 95-110 (Article) Published by Johns Hopkins University Press For additional information about this article https://muse.jhu.edu/article/722412 Access provided at 26 Apr 2019 00:52 GMT from University of Washington @ Seattle What We Mean When We Talk About Suffering—and Why Eric Cassell Should Not Have the Last Word Tyler Tate* and Robert Pearlman† ABSTRACT This paper analyzes the phenomenon of suffering and its relation- ship to medical practice by focusing on the paradigmatic work of Eric Cassell. First, it explains Cassell’s influential model of suffering. Second, it surveys various critiques of Cassell. Next it outlines the authors’ concerns with Cassell’s model: it is aggressive, obscure, and fails to capture important features of the suffering experience. Finally, the authors propose a conceptual framework to help clarify the distinctive nature of sub- jective patient suffering. This framework contains two necessary conditions: (1) a loss of a person’s sense of self, and (2) a negative affective experience. The authors suggest how this framework can be used in the medical encounter to promote clinician-patient communication and the relief of suffering. *Center for Ethics in Health Care and School of Medicine, Oregon Health and Science University, Portland. †National Center for Ethics in Health Care, Washington, DC, and School of Medicine, University of Washington, Seattle. Correspondence: Tyler Tate, Oregon Health and Science University, School of Medicine, Depart- ment of Pediatrics, 3181 SW Sam Jackson Park Road, Portland, OR 97239-3098. -
DISGUST: Features and SAWCHUK and Clinical Implications
Journal of Social and Clinical Psychology, Vol. 24, No. 7, 2005, pp. 932-962 OLATUNJIDISGUST: Features AND SAWCHUK and Clinical Implications DISGUST: CHARACTERISTIC FEATURES, SOCIAL MANIFESTATIONS, AND CLINICAL IMPLICATIONS BUNMI O. OLATUNJI University of Massachusetts CRAIG N. SAWCHUK University of Washington School of Medicine Emotions have been a long–standing cornerstone of research in social and clinical psychology. Although the systematic examination of emotional processes has yielded a rather comprehensive theoretical and scientific literature, dramatically less empirical attention has been devoted to disgust. In the present article, the na- ture, experience, and other associated features of disgust are outlined. We also re- view the domains of disgust and highlight how these domains have expanded over time. The function of disgust in various social constructions, such as cigarette smoking, vegetarianism, and homophobia, is highlighted. Disgust is also becoming increasingly recognized as an influential emotion in the onset, maintenance, and treatment of various phobic states, Obsessive–Compulsive Disorder, and eating disorders. In comparison to the other emotions, disgust offers great promise for fu- ture social and clinical research efforts, and prospective studies designed to improve our understanding of disgust are outlined. The nature, structure, and function of emotions have a rich tradition in the social and clinical psychology literature (Cacioppo & Gardner, 1999). Although emotion theorists have contested over the number of discrete emotional states and their operational definitions (Plutchik, 2001), most agree that emotions are highly influential in organizing thought processes and behavioral tendencies (Izard, 1993; John- Preparation of this manuscript was supported in part by NIMH NRSA grant 1F31MH067519–1A1 awarded to Bunmi O. -
About Emotions There Are 8 Primary Emotions. You Are Born with These
About Emotions There are 8 primary emotions. You are born with these emotions wired into your brain. That wiring causes your body to react in certain ways and for you to have certain urges when the emotion arises. Here is a list of primary emotions: Eight Primary Emotions Anger: fury, outrage, wrath, irritability, hostility, resentment and violence. Sadness: grief, sorrow, gloom, melancholy, despair, loneliness, and depression. Fear: anxiety, apprehension, nervousness, dread, fright, and panic. Joy: enjoyment, happiness, relief, bliss, delight, pride, thrill, and ecstasy. Interest: acceptance, friendliness, trust, kindness, affection, love, and devotion. Surprise: shock, astonishment, amazement, astound, and wonder. Disgust: contempt, disdain, scorn, aversion, distaste, and revulsion. Shame: guilt, embarrassment, chagrin, remorse, regret, and contrition. All other emotions are made up by combining these basic 8 emotions. Sometimes we have secondary emotions, an emotional reaction to an emotion. We learn these. Some examples of these are: o Feeling shame when you get angry. o Feeling angry when you have a shame response (e.g., hurt feelings). o Feeling fear when you get angry (maybe you’ve been punished for anger). There are many more. These are NOT wired into our bodies and brains, but are learned from our families, our culture, and others. When you have a secondary emotion, the key is to figure out what the primary emotion, the feeling at the root of your reaction is, so that you can take an action that is most helpful. . -
Mathematics K Through 6
Building fun and creativity into standards-based learning Mathematics K through 6 Ron De Long, M.Ed. Janet B. McCracken, M.Ed. Elizabeth Willett, M.Ed. © 2007 Crayola, LLC Easton, PA 18044-0431 Acknowledgements Table of Contents This guide and the entire Crayola® Dream-Makers® series would not be possible without the expertise and tireless efforts Crayola Dream-Makers: Catalyst for Creativity! ....... 4 of Ron De Long, Jan McCracken, and Elizabeth Willett. Your passion for children, the arts, and creativity are inspiring. Thank you. Special thanks also to Alison Panik for her content-area expertise, writing, research, and curriculum develop- Lessons ment of this guide. Garden of Colorful Counting ....................................... 6 Set representation Crayola also gratefully acknowledges the teachers and students who tested the lessons in this guide: In the Face of Symmetry .............................................. 10 Analysis of symmetry Barbi Bailey-Smith, Little River Elementary School, Durham, NC Gee’s-o-metric Wisdom ................................................ 14 Geometric modeling Rob Bartoch, Sandy Plains Elementary School, Baltimore, MD Patterns of Love Beads ................................................. 18 Algebraic patterns Susan Bivona, Mount Prospect Elementary School, Basking Ridge, NJ A Bountiful Table—Fair-Share Fractions ...................... 22 Fractions Jennifer Braun, Oak Street Elementary School, Basking Ridge, NJ Barbara Calvo, Ocean Township Elementary School, Oakhurst, NJ Whimsical Charting and -
Emotion Classification Using Physiological Signals
Emotion Classification Using Physiological Signals Byoung-Jun Park1, Eun-Hye Jang1, Myoung Ae Chung1, Sang-Hyeob Kim1*, Jin Hun Sohn2* 1IT Convergence Technology Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, 305-700 2Department of Psychology/Brain Research Institute, Chungnam National University, Daejeon, 305-765 ABSTRACT Objective: The aim of this study is to discriminate negative emotions, such as sadness, fear, surprise, and stress using physiological signals. Background: Recently, the main topic of emotion classification research is to recognize human’s feeling or emotion using various physiological signals. It is one of the core processes to implement emotional intelligence in human computer interaction (HCI) research. Method: Electrodermal activity (EDA), electrocardiogram (ECG), skin temperature (SKT), and photoplethysmography (PPG) are recorded and analyzed as physiological signals. And emotional stimuli are audio-visual film clips which have examined for their appropriateness and effectiveness through preliminary experiment. For classification of negative emotions, five machine learning algorithms, i.e., LDF, CART, SOM, and Naïve Bayes are used. Results: Result of emotion classification shows that an accuracy of emotion classification by CART (84.0%) was the highest and by LDA (50.7%) was the lowest. SOM showed emotion classification accuracy of 51.2% and Naïve Bayes was 76.2%. Conclusion: We could identify that CART was the optimal emotion classification algorithm for classifying 4 negative emotions (sadness, fear, surprise, and stress). Application: This result can be helpful to provide the basis for the emotion recognition technique in HCI. Keywords: Emotion classification, Negative emotion, Machine learning algorithm, Physiological signal 1. Introduction Nasoz, Alvarez, Lisetti, and Finkelstein, 2003). -
The Distancing-Embracing Model of the Enjoyment of Negative Emotions in Art Reception
BEHAVIORAL AND BRAIN SCIENCES (2017), Page 1 of 63 doi:10.1017/S0140525X17000309, e347 The Distancing-Embracing model of the enjoyment of negative emotions in art reception Winfried Menninghaus1 Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, 60322 Frankfurt am Main, Germany [email protected] Valentin Wagner Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, 60322 Frankfurt am Main, Germany [email protected] Julian Hanich Department of Arts, Culture and Media, University of Groningen, 9700 AB Groningen, The Netherlands [email protected] Eugen Wassiliwizky Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, 60322 Frankfurt am Main, Germany [email protected] Thomas Jacobsen Experimental Psychology Unit, Helmut Schmidt University/University of the Federal Armed Forces Hamburg, 22043 Hamburg, Germany [email protected] Stefan Koelsch University of Bergen, 5020 Bergen, Norway [email protected] Abstract: Why are negative emotions so central in art reception far beyond tragedy? Revisiting classical aesthetics in the light of recent psychological research, we present a novel model to explain this much discussed (apparent) paradox. We argue that negative emotions are an important resource for the arts in general, rather than a special license for exceptional art forms only. The underlying rationale is that negative emotions have been shown to be particularly powerful in securing attention, intense emotional involvement, and high memorability, and hence is precisely what artworks strive for. Two groups of processing mechanisms are identified that conjointly adopt the particular powers of negative emotions for art’s purposes. -
The Gay Science (`La Gaya Scienza')
Cambridge University Press 0521631599 - The Gay Science: With a Prelude in German Rhymes and an Appendix of Songs Friedrich Nietzsche Excerpt More information The Gay Science R`La gaya scienza') This house is my own and here I dwell, I've never aped nothing from no one and ± laugh at each master, mark me well, who at himself has not poked fun. Over my front door. The title is a translation into German Rin our edition, into English) of the ProvencËal subtitle. Gaya scienza R`joyful, cheerful, or gay science') was a term used by the troubadours in the twelfth to fourteenth centuries to refer to the art of poetry. In Ecce Homo Nietzsche writes that he has used the term gaya scienza here to designate the speci®c unity of `singer, knight, and free spirit' which was characteristic of early ProvencËal culture. © Cambridge University Press www.cambridge.org Cambridge University Press 0521631599 - The Gay Science: With a Prelude in German Rhymes and an Appendix of Songs Friedrich Nietzsche Excerpt More information Preface to the second edition 1 This book might need more than one preface; and in the end there would still be room for doubting whether someone who has not experienced something similar could, by means of prefaces, be brought closer to the experiences of this book. It seems to be written in the language of the wind that brings a thaw: it contains high spirits, unrest, contradiction, and April weather, so that one is constantly reminded of winter's nearness as well as of the triumph over winter that is coming, must come, perhaps has already come. -
OWNING YOUR FEELINGS Tips for Success
OWNING YOUR FEELINGS It can be easy to get caught up in your emotions as you’re feeling them. Most people don’t think about what emotions they are dealing with, but taking the time to really identify what you’re feeling can help you to better cope with challenging situations. The English language has over 3,000 words for Tips for success emotions. Allow yourself to feel. Sometimes there are societal pressures that encourage people to shut down their emotions, often expressed through People who are good at statements like, “Big girls don’t cry,” or “Man up.” These outdated ideas are being specific about harmful, not helpful. Everyone has emotionsthey are part of the human identifying and labeling experienceand you have every right to feel them, regardless of gender, their emotions are less sexual orientation, ethnicity, socio-economic status, race, political likely to binge drink, be affiliation or religion. physically aggressive, or selfinjure when Don’t ignore how you’re feeling. Most of us have heard the term “bottling up distressed. your feelings” before. When we try to push feelings aside without addressing them, they build strength and make us more likely to “explode” at some point in When schoolaged kids are the future. It may not always be appropriate to process your emotions at the taught about emotions for very moment you are feeling them, but try to do so as soon as you can. 20-30 minutes per week their social behavior and Talk it out. Find someone you trust that you can talk to about how you’re school performance feeling.