The Neural Representation of Facial-Emotion Categories Reflects Conceptual Structure
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Improving Emotion Perception and Emotion Regulation Through a Web-Based Emotional Intelligence Training (WEIT) Program for Future Leaders
Volume 11, Number 2, November 2019 pp 17 - 32 www.um.edu.mt/ijee Improving Emotion Perception and Emotion Regulation Through a Web-Based Emotional Intelligence Training (WEIT) Program for Future Leaders 1 Christina Köppe, Marco Jürgen Held and Astrid Schütz University of Bamberg, Bamberg, Germany We evaluated a Web-Based Emotional Intelligence Training (WEIT) program that was based on the four-branch model of emotional intelligence (EI) and which aimed at improving emotion perception (EP) and emotion regulation (ER) in future leaders. Using a controlled experimental design, we evaluated the short-term (directly after the WEIT program) and long-term (6 weeks later) effects in a sample of 134 (59 training group [TG], 75 wait list control group [CG]) business students, and additionally tested whether WEIT helped to reduce perceived stress. For EP, WEIT led to a significant increase in the TG directly after training (whereas the wait list CG showed no change). Changes remained stable after 6 weeks in the TG, but there were no significant differences between the TG and CG at follow-up. By contrast, ER did not show an increase directly after WEIT, but 6 weeks later, the TG had larger improvements than the CG. The results mostly confirmed that emotional abilities can be increased through web-based training. Participants’ perceived stress did not decrease after the training program. Further refinement and validation of WEIT is needed. Keywords: emotional intelligence, web-based training, stress, future leaders First submission 15th May 2019; Accepted for publication 4th September 2019. Introduction Emotional intelligence (EI) has attracted considerable attention in recent years (see Côté, 2014). -
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. . -
Developing a Brain Specialized for Face Perception: a Converging
Michelle de Haan Institute of Child Health University College London Developing a Brain Developmental Cognitive Neurosciences Unit The Wolfson Centre Specialized for Face Mecklenburgh Square London WCIN ZAP United Kingdom Perception: A Converging Kate Humphreys MarkH. Johnson Methods Approach Centre for Brain & Cognitive Development, Birkbeck College 32 Torrington Square London WCIE 7JL United Kingdom Received 21 February 2000; Accepted 13 November 2001 ABSTRACT: Adults are normally very quick and accurate at recognizing facial identity.This skill has been explained by two opposing views as being due to the existence of an innate cortical ``face module'' or to the natural consequence of adults' extensive experience with faces.Neither of these views puts particular importance on studying development of face-processing skills, as in one view the module simply comes on-line and in the other view development is equated with adult learning. In this article, we present evidence from a variety of methodologies to argue for an ``interactive specialization'' view.In this view, orienting tendencies present early in life ensure faces are a frequent visual input to higher cortical areas in the ventral visual pathway.In this way, cortical specialization for face processing is an emergent product of the interaction of factors both intrinsic and extrinsic to the developing child. ß 2002 Wiley Periodicals, Inc. Dev Psychobiol 40: 200± 212, 2002. DOI 10.1002/dev.10027 Keywords: face processing; infancy; neuroimaging; cortical specialization; prosopagnosia INTRODUCTION investigators have proposed that there is an innate ``social brain'' with pathways and circuits genetically Our sophisticated ability to perceive and analyze in- prespeci®ed for processing social information -e.g., formation from the faces of our fellow humans under- Baron-Cohen et al., 1999). -
Emotion Perception in Habitual Players of Action Video Games Swann Pichon, Benoit Bediou, Lia Antico, Rachael Jack, Oliver Garrod, Chris Sims, C
Emotion Emotion Perception in Habitual Players of Action Video Games Swann Pichon, Benoit Bediou, Lia Antico, Rachael Jack, Oliver Garrod, Chris Sims, C. Shawn Green, Philippe Schyns, and Daphne Bavelier Online First Publication, July 6, 2020. http://dx.doi.org/10.1037/emo0000740 CITATION Pichon, S., Bediou, B., Antico, L., Jack, R., Garrod, O., Sims, C., Green, C. S., Schyns, P., & Bavelier, D. (2020, July 6). Emotion Perception in Habitual Players of Action Video Games. Emotion. Advance online publication. http://dx.doi.org/10.1037/emo0000740 Emotion © 2020 American Psychological Association 2020, Vol. 2, No. 999, 000 ISSN: 1528-3542 http://dx.doi.org/10.1037/emo0000740 Emotion Perception in Habitual Players of Action Video Games Swann Pichon, Benoit Bediou, and Lia Antico Rachael Jack and Oliver Garrod University of Geneva, Campus Biotech Glasgow University Chris Sims C. Shawn Green Rensselaer Polytechnic Institute University of Wisconsin–Madison Philippe Schyns Daphne Bavelier Glasgow University University of Geneva, Campus Biotech Action video game players (AVGPs) display superior performance in various aspects of cognition, especially in perception and top-down attention. The existing literature has examined these performance almost exclusively with stimuli and tasks devoid of any emotional content. Thus, whether the superior performance documented in the cognitive domain extend to the emotional domain remains unknown. We present 2 cross-sectional studies contrasting AVGPs and nonvideo game players (NVGPs) in their ability to perceive facial emotions. Under an enhanced perception account, AVGPs should outperform NVGPs when processing facial emotion. Yet, alternative accounts exist. For instance, under some social accounts, exposure to action video games, which often contain violence, may lower sensitivity for empathy-related expressions such as sadness, happiness, and pain while increasing sensitivity to aggression signals. -
1 Automated Face Analysis for Affective Computing Jeffrey F. Cohn & Fernando De La Torre Abstract Facial Expression
Please do not quote. In press, Handbook of affective computing. New York, NY: Oxford Automated Face Analysis for Affective Computing Jeffrey F. Cohn & Fernando De la Torre Abstract Facial expression communicates emotion, intention, and physical state, and regulates interpersonal behavior. Automated Face Analysis (AFA) for detection, synthesis, and understanding of facial expression is a vital focus of basic research. While open research questions remain, the field has become sufficiently mature to support initial applications in a variety of areas. We review 1) human-observer based approaches to measurement that inform AFA; 2) advances in face detection and tracking, feature extraction, registration, and supervised learning; and 3) applications in action unit and intensity detection, physical pain, psychological distress and depression, detection of deception, interpersonal coordination, expression transfer, and other applications. We consider user-in-the-loop as well as fully automated systems and discuss open questions in basic and applied research. Keywords Automated Face Analysis and Synthesis, Facial Action Coding System (FACS), Continuous Measurement, Emotion, Nonverbal Communication, Synchrony 1. Introduction The face conveys information about a person’s age, sex, background, and identity, what they are feeling, or thinking (Darwin, 1872/1998; Ekman & Rosenberg, 2005). Facial expression regulates face-to-face interactions, indicates reciprocity and interpersonal attraction or repulsion, and enables inter-subjectivity between members of different cultures (Bråten, 2006; Fridlund, 1994; Tronick, 1989). Facial expression reveals comparative evolution, social and emotional development, neurological and psychiatric functioning, and personality processes (Burrows & Cohn, In press; Campos, Barrett, Lamb, Goldsmith, & Stenberg, 1983; Girard, Cohn, Mahoor, Mavadati, & Rosenwald, 2013; Schmidt & Cohn, 2001). Not surprisingly, the face has been of keen interest to behavioral scientists. -
A Review of Alexithymia and Emotion Perception in Music, Odor, Taste, and Touch
MINI REVIEW published: 30 July 2021 doi: 10.3389/fpsyg.2021.707599 Beyond Face and Voice: A Review of Alexithymia and Emotion Perception in Music, Odor, Taste, and Touch Thomas Suslow* and Anette Kersting Department of Psychosomatic Medicine and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany Alexithymia is a clinically relevant personality trait characterized by deficits in recognizing and verbalizing one’s emotions. It has been shown that alexithymia is related to an impaired perception of external emotional stimuli, but previous research focused on emotion perception from faces and voices. Since sensory modalities represent rather distinct input channels it is important to know whether alexithymia also affects emotion perception in other modalities and expressive domains. The objective of our review was to summarize and systematically assess the literature on the impact of alexithymia on the perception of emotional (or hedonic) stimuli in music, odor, taste, and touch. Eleven relevant studies were identified. On the basis of the reviewed research, it can be preliminary concluded that alexithymia might be associated with deficits Edited by: in the perception of primarily negative but also positive emotions in music and a Mathias Weymar, University of Potsdam, Germany reduced perception of aversive taste. The data available on olfaction and touch are Reviewed by: inconsistent or ambiguous and do not allow to draw conclusions. Future investigations Khatereh Borhani, would benefit from a multimethod assessment of alexithymia and control of negative Shahid Beheshti University, Iran Kristen Paula Morie, affect. Multimodal research seems necessary to advance our understanding of emotion Yale University, United States perception deficits in alexithymia and clarify the contribution of modality-specific and Jan Terock, supramodal processing impairments. -
Characteristics of the Regulation of the Surprise Emotion Chuanlin Zhu1, Ping Li2, Zhao Zhang2, Dianzhi Liu1 & Wenbo Luo2,3
www.nature.com/scientificreports OPEN Characteristics of the regulation of the surprise emotion Chuanlin Zhu1, Ping Li2, Zhao Zhang2, Dianzhi Liu1 & Wenbo Luo2,3 This study aimed to assess the characteristics of the regulation of the emotion of surprise. Event-related Received: 27 June 2017 potentials (ERPs) of college students when using cognitive reappraisal and expressive suppression to Accepted: 11 April 2019 regulate their surprise level were recorded. Diferent contexts were presented to participants, followed Published: xx xx xxxx by the image of surprised facial expression; subsequently, using a 9-point scale, participants were asked to rate the intensity of their emotional experience. The behavioral results suggest that individuals’ surprise level could be reduced by using both expressive suppression and cognitive reappraisal, in basic and complex conditions. The ERP results showed that (1) the N170 amplitudes were larger in complex than basic contexts, and those elicited by using expressive suppression and cognitive reappraisal showed no signifcant diferences, suggesting that emotion regulation did not occur at this stage; (2) the LPC amplitudes elicited by using cognitive reappraisal and expressive suppression were smaller than those elicited by free viewing in both context conditions, suggesting that the late stage of individuals’ processing of surprised faces was infuenced by emotion regulation. This study found that conscious emotional regulation occurred in the late stages when individuals processed surprise, and the regulation efects of cognitive reappraisal and expressive suppression were equivalent. When we pass an important test, some of us dance out of excitement; when we are informed about the sudden death of a loved one, we feel extremely sad. -
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. -
Recognition of Emotional Face Expressions and Amygdala Pathology*
Recognition of Emotional Face Expressions and Amygdala Pathology* Chiara Cristinzio 1,2, David Sander 2, 3, Patrik Vuilleumier 1,2 1 Laboratory for Behavioural Neurology and Imaging of Cognition, Department of Neuroscience and Clinic of Neurology, University of Geneva 2 Swiss Center for Affective Sciences, University of Geneva 3 Department of Psychology, University of Geneva Abstract Reconnaissance d'expressions faciales émo- tionnelles et pathologie de l'amygdale The amygdala is often damaged in patients with temporal lobe epilepsy, either because of the primary L'amygdale de patients atteints d'une épilepsie du epileptogenic disease (e.g. sclerosis or encephalitis) or lobe temporal est souvent affectée, soit en raison de because of secondary effects of surgical interventions leur maladie épileptogénique primaire (p.ex. sclérose (e.g. lobectomy). In humans, the amygdala has been as- ou encéphalite), soit en raison des effets secondaires sociated with a range of important emotional and d'interventions chirurgicales (p.ex. lobectomie). L'amyg- social functions, in particular with deficits in emotion dale a été associée à une gamme de fonctions émo- recognition from faces. Here we review data from tionnelles et sociales importantes dans l'organisme hu- recent neuropsychological research illustrating the main, en particulier à certains déficits dans la faculté de amygdala role in processing facial expressions. We décrypter des émotions sur le visage. Nous passons ici describe behavioural findings subsequent to focal en revue les résultats des récents travaux de la neuro- lesions and possible factors that may influence the na- psychologie illustrant le rôle de l'amygdale dans le trai- ture and severity of deficits in patients. -
Face Aftereffects and the Perceptual Underpinnings of Gender-Related Biases
Journal of Experimental Psychology: General © 2013 American Psychological Association 2014, Vol. 143, No. 3, 1259–1276 0096-3445/14/$12.00 DOI: 10.1037/a0034516 Recalibrating Gender Perception: Face Aftereffects and the Perceptual Underpinnings of Gender-Related Biases David J. Lick and Kerri L. Johnson University of California, Los Angeles Contemporary perceivers encounter highly gendered imagery in media, social networks, and the work- place. Perceivers also express strong interpersonal biases related to targets’ gendered appearances after mere glimpses at their faces. In the current studies, we explored adaptation to gendered facial features as a perceptual mechanism underlying these biases. In Study 1, brief visual exposure to highly gendered exemplars shifted perceptual norms for men’s and women’s faces. Studies 2–4 revealed that changes in perceptual norms were accompanied by notable shifts in social evaluations. Specifically, exposure to feminine phenotypes exacerbated biases against hypermasculine faces, whereas exposure to masculine phenotypes mitigated them. These findings replicated across multiple independent samples with diverse stimulus sets and outcome measures, revealing that perceptual gender norms are calibrated on the basis of recent visual encounters, with notable implications for downstream evaluations of others. As such, visual adaptation is a useful tool for understanding and altering social biases related to gendered facial features. Keywords: visual aftereffects, face perception, social vision, gender bias, gendered phenotypes In daily life, people encounter others who vary considerably in included many men with visibly feminized facial features (high their gendered appearance (i.e., masculinity/femininity). Although brow line, high cheekbones, wide eyes, small nose; e.g., Max many individuals fall within the average range of gender variation, Greenfield, Matt Bomer, Damian Lewis, Paul Rudd, Usher, Aaron others do not. -
Association Between Neuroticism and Risk of Incident Cardiovascular Disease in the UK Biobank Cohort
Association between neuroticism and risk of incident cardiovascular disease in the UK Biobank cohort Master Degree Project in Systems Biology Two years Level, 120 ECTS Submitted by: Hira Shahid Email: [email protected] Supervisor: Helgi Schioth Co.supervisor: Gull Rukh Examiner: Diana Tilevik Master Degree Project in Systems Biology Abstract Myocardial infarction (MI) and stroke are the major causes of cardiovascular related morbidities and mortalities around the world. The prevalence of cardiovascular diseases has been increased in last decades and it is vital need of time to investigate this global problem with focus on risk population stratification. The aim of the present study is to investigate the association between individualized personality trait that is neuroticism and risk of MI and stroke has been investigated in a large population-based cohort of UK biobank.375,713 individuals (mean age: 56.24 ± 8.06) were investigated in this longitudinal study and were followed up for seven years to assess the association between neuroticism and risk of MI and stroke incidence. The neuroticism score was assessed by a 12-item questionnaire at baseline, while information related to MI and stroke events was either collected from hospital records and death registries or was self-reported by the participants. Cox proportional hazard regression adjusted for age, gender, BMI, socioeconomic status, lifestyle factors and medical histories for hypertension, diabetes and depression was used. All statistical analyses were performed using R software. In fully adjusted model, a one standard deviation increase in neuroticism score was associated with 1.05-fold increased risk for MI. (HR=1.047(1.009-1.087), p=0.015). -
EMOTION CLASSIFICATION of COVERED FACES 1 WHO CAN READ YOUR FACIAL EXPRESSION? a Comparison of Humans and Machine Learning Class
journal name manuscript No. (will be inserted by the editor) 1 A Comparison of Humans and Machine Learning 2 Classifiers Detecting Emotion from Faces of People 3 with Different Coverings 4 Harisu Abdullahi Shehu · Will N. 5 Browne · Hedwig Eisenbarth 6 7 Received: 9th August 2021 / Accepted: date 8 Abstract Partial face coverings such as sunglasses and face masks uninten- 9 tionally obscure facial expressions, causing a loss of accuracy when humans 10 and computer systems attempt to categorise emotion. Experimental Psychol- 11 ogy would benefit from understanding how computational systems differ from 12 humans when categorising emotions as automated recognition systems become 13 available. We investigated the impact of sunglasses and different face masks on 14 the ability to categorize emotional facial expressions in humans and computer 15 systems to directly compare accuracy in a naturalistic context. Computer sys- 16 tems, represented by the VGG19 deep learning algorithm, and humans assessed 17 images of people with varying emotional facial expressions and with four dif- 18 ferent types of coverings, i.e. unmasked, with a mask covering lower-face, a 19 partial mask with transparent mouth window, and with sunglasses. Further- Harisu Abdullahi Shehu (Corresponding author) School of Engineering and Computer Science, Victoria University of Wellington, 6012 Wellington E-mail: [email protected] ORCID: 0000-0002-9689-3290 Will N. Browne School of Electrical Engineering and Robotics, Queensland University of Technology, Bris- bane QLD 4000, Australia Tel: +61 45 2468 148 E-mail: [email protected] ORCID: 0000-0001-8979-2224 Hedwig Eisenbarth School of Psychology, Victoria University of Wellington, 6012 Wellington Tel: +64 4 463 9541 E-mail: [email protected] ORCID: 0000-0002-0521-2630 2 Shehu H.