Emotion Perception in Habitual Players of Action Video Games Swann
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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). -
Connecting Levels of Analysis in Educational Neuroscience: a Review of Multi-Level
1 Connecting Levels of Analysis in Educational Neuroscience: A Review of Multi-level 2 Structure of Educational Neuroscience with Concrete Examples 3 Hyemin Han1*, Firat Soylu1*, D. Mona Anchan1 4 Educational Psychology Program, University of Alabama, Tuscaloosa, AL, United States 5 6 Corresponding Author: 7 Hyemin Han1 8 9 Email address: [email protected] 10 11 *These authors contributed equally to this work. The authors’ names are listed 12 alphabetically. 2 13 Abstract 14 In its origins educational neuroscience has started as an endeavor to discuss 15 implications of neuroscience studies for education. However, it is now on its way to 16 become a transdisciplinary field, incorporating findings, theoretical frameworks and 17 methodologies from education, and cognitive and brain sciences. Given the differences and 18 diversity in the originating disciplines, it has been a challenge for educational neuroscience 19 to integrate both theoretical and methodological perspective in education and neuroscience 20 in a coherent way. We present a multi-level framework for educational neuroscience, 21 which argues for integration of multiple levels of analysis, some originating in brain and 22 cognitive sciences, others in education, as a roadmap for the future of educational 23 neuroscience with concrete examples in mathematical learning and moral education. 24 Keywords: educational neuroscience; multi-level theoretical framework; 25 neuroimaging; meta-analysis; educational intervention 26 27 Educational neuroscience is a vast and emerging field that incorporates methods 28 and perspectives from brain and cognitive sciences, learning sciences, and educational 29 psychology, among others. In its origins educational neuroscience started as an initiative 30 to discuss implications of neuroscience findings for education. -
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. -
A Diffusion Model Analysis of Belief Bias: Different Cognitive Mechanisms Explain How Cogni
A diffusion model analysis of belief bias: Different cognitive mechanisms explain how cogni- tive abilities and thinking styles contribute to conflict resolution in reasoning Anna-Lena Schuberta, Mário B. Ferreirab, André Matac, & Ben Riemenschneiderd aInstitute of Psychology, Heidelberg University, Heidelberg, Germany, E-mail: anna- [email protected] bCICPSI, Faculdade de Psicologia, Universidade de Lisboa, Portugal, E-mail: mferreira@psi- cologia.ulisboa.pt cCICPSI, Faculdade de Psicologia, Universidade de Lisboa, Portugal, E-mail: aomata@psico- logia.ulisboa.pt dInstitute of Psychology, Heidelberg University, Heidelberg, Germany, E-mail: riemenschnei- [email protected] Word count: 17,116 words Author Note Correspondence concerning this article should be addressed to Anna-Lena Schubert, Institute of Psychology, Heidelberg University, Hauptstrasse 47-51, D-69117 Heidelberg, Germany, Phone: +49 (0) 6221-547354, Fax: +49 (0) 6221-547325, E-mail: anna-lena.schubert@psy- chologie.uni-heidelberg.de. The authors thank Joana Reis for her help in setting up the experi- ment, and Adrian P. Banks and Christopher Hope for sharing their experimental material. THE ROLE OF COGNITIVE ABILITIES AND THINKING STYLES IN REASONING 2 Abstract Recent results have challenged the widespread assumption of dual process models of belief bias that sound reasoning relies on slow, careful reflection, whereas biased reasoning is based on fast intuition. Instead, parallel process models of reasoning suggest that rule- and belief- based problem features are processed in parallel and that reasoning problems that elicit a con- flict between rule- and belief-based problem features may also elicit more than one Type 1 re- sponse. This has important implications for individual-differences research on reasoning, be- cause rule-based responses by certain individuals may reflect that these individuals were ei- ther more likely to give a rule-based default response or that they successfully inhibited and overrode a belief-based default response. -
Dispositional Cognitive Effort Investment and Behavioral Demand Avoidance
Dispositional Cognitive Effort Investment and Behavioral Demand Avoidance: Are They Related? Alexander Strobel1*, Gesine Wieder1, Philipp C. Paulus1,2, Florian Ott1, Sebastian Pannasch1, Stefan J. Kiebel1, & Corinna Kührt1* 1 Faculty of Psychology, Technische Universität Dresden 2 Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Author note Alexander Strobel, Corinna Kührt, Florian Ott, Sebastian Pannasch, Stefan Kiebel, Gesine Wieder, Faculty of Psychology, Technische Universität Dresden, 01062 Dresden, Germany; Philipp C. Paulus, Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Stephanstraße 1a, 04103 Leipzig, Germany. * These authors contributed equally to this work. We are indebted to Fanny Weber-Göricke, Technische Universität Dresden, for assistance in data acquisition management. This work was funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG; SFB 940/2). Correspondence concerning this article should be addressed to Alexander Strobel, Faculty of Psychology, Technische Universität Dresden, 01062 Dresden, Germany. E-mail: [email protected] 2 Abstract Individuals tend to avoid cognitive demand, yet, individual differences appear to exist. Recent evidence from two studies suggests that individuals high in the personality traits Self- Control and Need for Cognition that are related to the broader construct Cognitive Effort Investment are less prone to avoid cognitive demand and show less effort discounting. These findings suggest that cost-benefit models of decision-making that integrate the costs due to effort should consider individual differences in the willingness to exert mental effort. However, to date, there are almost no replication attempts of the above findings. For the present conceptual replication, we concentrated on the avoidance of cognitive demand and used a longitudinal design and latent state-trait modeling. -
Culture in Language and Cognition
Chapter 37 in Xu Wen and John R. Taylor (Eds.) (2021) The Routledge Handbook of Cognitive Linguistics, pp. 387-407. Downloadable from https://psyarxiv.com/prm7u/ Preprint DOI 10.31234/osf.io/prm7u Culture in language and cognition Chris Sinha Abstract This Handbook chapter provides an overview of the interdisciplinary field of language, cognition and culture. The chapter explores the historical background of research from anthropological, psychological and linguistic perspectives. The key concepts of linguistic relativity, semiotic mediation and extended embodiment are explored and the field of cultural linguistics is outlined. Research methods are critically described. The state of the art in the key research topics of colour, space and time, and self and identities is outlined. Introduction Independence versus interdependence of language, mind and culture Cognitive Linguistics (CL) was forged in the matrix of cognitive sciences as a distinctive and highly interdisciplinary approach in linguistics. Foundational texts such as Lakoff (1987), Langacker (1987) and Talmy (2000) drew upon long but often neglected traditions in cognitive psychology, especially Gestalt psychology (Sinha 2007). A fundamental tenet of CL is that the cognitive capacities and processes that speakers and hearers employ in using language are domain-general: they underpin not only language, but also other areas of cognition and perception. This is in contrast with Generative (or Formal) Linguistics, to which CL historically was a critical reaction, which takes a modular view of both the human language faculty and of its subsystems. For Generative Linguists, not only is the subsystem of syntax autonomous from semantics and phonology, but language as a system is autonomous both from other cognitive processes, and from any influence by the culture and social organization of the language community. -
Postural Communication of Emotion: Perception of Distinct Poses of Five Discrete Emotions
fpsyg-08-00710 May 12, 2017 Time: 16:29 # 1 ORIGINAL RESEARCH published: 16 May 2017 doi: 10.3389/fpsyg.2017.00710 Postural Communication of Emotion: Perception of Distinct Poses of Five Discrete Emotions Lukas D. Lopez, Peter J. Reschke, Jennifer M. Knothe and Eric A. Walle* Psychological Sciences, University of California, Merced, Merced, CA, USA Emotion can be communicated through multiple distinct modalities. However, an often-ignored channel of communication is posture. Recent research indicates that bodily posture plays an important role in the perception of emotion. However, research examining postural communication of emotion is limited by the variety of validated emotion poses and unknown cohesion of categorical and dimensional ratings. The present study addressed these limitations. Specifically, we examined individuals’ (1) categorization of emotion postures depicting 5 discrete emotions (joy, sadness, fear, anger, and disgust), (2) categorization of different poses depicting the same discrete emotion, and (3) ratings of valence and arousal for each emotion pose. Findings revealed that participants successfully categorized each posture as the target emotion, including Edited by: disgust. Moreover, participants accurately identified multiple distinct poses within each Petri Laukka, emotion category. In addition to the categorical responses, dimensional ratings of Stockholm University, Sweden valence and arousal revealed interesting overlap and distinctions between and within Reviewed by: Alessia Celeghin, emotion categories. These findings provide the first evidence of an identifiable posture University of Turin, Italy for disgust and instantiate the principle of equifinality of emotional communication Matteo Candidi, Sapienza University of Rome, Italy through the inclusion of distinct poses within emotion categories. Additionally, the *Correspondence: dimensional ratings corroborated the categorical data and provide further granularity for Eric A. -
Context-Aware Emotion Recognition in the Wild Using Spatio-Temporal and Temporal-Pyramid Models
sensors Article Context-Aware Emotion Recognition in the Wild Using Spatio-Temporal and Temporal-Pyramid Models Nhu-Tai Do 1 , Soo-Hyung Kim 1,* , Hyung-Jeong Yang 1 , Guee-Sang Lee 1 and Soonja Yeom 2 1 Department of Artificial Intelligence Convergence, Chonnam National University, 77 Yongbong-ro, Gwangju 500-757, Korea; [email protected] (N.-T.D.); [email protected] (H.-J.Y.); [email protected] (G.-S.L.) 2 School of Technology, Environment and Design, University of Tasmania, Hobart, TAS 7001, Australia; [email protected] * Correspondence: [email protected] Abstract: Emotion recognition plays an important role in human–computer interactions. Recent studies have focused on video emotion recognition in the wild and have run into difficulties related to occlusion, illumination, complex behavior over time, and auditory cues. State-of-the-art methods use multiple modalities, such as frame-level, spatiotemporal, and audio approaches. However, such methods have difficulties in exploiting long-term dependencies in temporal information, capturing contextual information, and integrating multi-modal information. In this paper, we introduce a multi-modal flexible system for video-based emotion recognition in the wild. Our system tracks and votes on significant faces corresponding to persons of interest in a video to classify seven basic emotions. The key contribution of this study is that it proposes the use of face feature extraction with context-aware and statistical information for emotion recognition. We also build two model architectures to effectively exploit long-term dependencies in temporal information with a temporal- pyramid model and a spatiotemporal model with “Conv2D+LSTM+3DCNN+Classify” architecture. -
Expanding What We Know About Observer Ratings of Emotional Intelligence
University of Pennsylvania ScholarlyCommons Management Papers Wharton Faculty Research 2015 The Social Perception of Emotional Abilities: Expanding What We Know About Observer Ratings of Emotional Intelligence Hillary A. Elfenbein Washington University in St. Louis Sigal G. Barsade University of Pennsylvania Noah C Eisenkraft University of Pennsylvania Follow this and additional works at: https://repository.upenn.edu/mgmt_papers Part of the Management Sciences and Quantitative Methods Commons Recommended Citation Elfenbein, H. A., Barsade, S. G., & Eisenkraft, N. (2015). The Social Perception of Emotional Abilities: Expanding What We Know About Observer Ratings of Emotional Intelligence. Emotion, 15 (1), 17-34. http://dx.doi.org/10.1037/a0038436 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/mgmt_papers/198 For more information, please contact [email protected]. The Social Perception of Emotional Abilities: Expanding What We Know About Observer Ratings of Emotional Intelligence Abstract We examine the social perception of emotional intelligence (EI) through the use of observer ratings. Individuals frequently judge others’ emotional abilities in real-world settings, yet we know little about the properties of such ratings. This article examines the social perception of EI and expands the evidence to evaluate its reliability and cross-judge agreement, as well as its convergent, divergent, and predictive validity. Three studies use real-world colleagues as observers and data from 2,521 participants. Results indicate significant consensus across observers about targets’ EI, moderate but significant self–observer agreement, and modest but relatively consistent discriminant validity across the components of EI. Observer ratings significantly predicted interdependent task performance, even after controlling for numerous factors. -
Measurement and Psychological Predictors in Gaming Communities
CYBER-AGGRESSION TOWARDS WOMEN 1 Cyber-aggression towards women: Measurement and psychological predictors in gaming communities Arvin Jagayat1, Becky L. Choma1 1Department of Psychology, Ryerson University, 350 Victoria St., Toronto, ON, M5B 2K3 [email protected] [email protected] Correspondence concerning this article should be addressed to Arvin Jagayat, Department of Psychology, Ryerson University, 350 Victoria St., Toronto, Ontario, Canada, M5B 2K3. E-mail: [email protected] Declaration of interest: none. Funding: Arvin Jagayat is supported in part by funding from the Social Sciences and Humanities Research Council. [This is a pre-proofed, accepted version of the full article available at https://doi.org/10.1016/j.chb.2021.106753] CYBER-AGGRESSION TOWARDS WOMEN 2 Abstract Approximately 52% of young women report receiving threatening messages, sharing of their private photos by others without their consent, or sexual harassment online – examples of cyber-aggression towards women. A scale to measure endorsement of cyber-aggression towards women was developed to be inclusive of the many contemporary ways that women are targeted online. We examined sociopolitical ideologies (right-wing authoritarianism, social dominance orientation) and perceived threats (based on the Dual Process Motivational Model of Ideology and Prejudice, as well as Integrated Threat Theory) as predictors of endorsement of cyber- aggression towards women in three studies (Pilot Study, n=46; Study 1, n=276; Study 2, n=6381). Study 1 and 2 participants were recruited from online video gaming communities; Study 2 comprised responses collected during or after a livestream of YouTubers doing the survey went viral. The YouTubers criticized feminism and alleged that female gamers had privilege in the gaming community.