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1
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Carranza-Pinedo V, Krohs U, Richter SH. Towards a scientific definition of animal emotions: Integrating innate, appraisal, and network mechanisms. Neurosci Biobehav Rev 2025; 172:106127. [PMID: 40164242 DOI: 10.1016/j.neubiorev.2025.106127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Revised: 03/22/2025] [Accepted: 03/24/2025] [Indexed: 04/02/2025]
Abstract
This paper introduces a mechanistic framework for understanding animal emotions, which is designed for biologists studying animal behavior and welfare. Researchers often examine emotions-short-term valenced experiences-through behavioral, somatic, and cognitive indicators. However, proposed indicators are often ambivalent (emerge in contexts with opposing emotional valence) or undetermined (arise in both affective and non-affective processes). To ground hypothesis formulation regarding animal emotions on a better foundation, the paper advocates for building on what we know regarding the mechanisms of human emotions-the behavioral rules that transform sensory input into motor output during emotional episodes. In particular, it integrates key assumptions from three dominant psychological theories of emotion-innate, appraisal, and network theories-into a single framework and argues that this can serve as a common ground to transfer insights from human to animal emotion research. Additionally, the paper tackles the question of how emotions relate to closely linked processes such as decision-making, distinguishing between parallel architecture models-where emotions and decision-making processes interact but remain distinct-and unified models-where affective states are conceived as integral to goal-oriented processes. Finally, we discuss how our mechanistic proposal can help us address four key questions in animal emotion research: Do animals experience emotions? If so, which animals experience emotions? Which emotions do they experience? And how do these emotions compare to human emotions? The paper concludes by emphasizing the need for further empirical research on the mechanisms of animal emotions and their distinction from other processes.
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Affiliation(s)
- Víctor Carranza-Pinedo
- Department of Philosophy, University of Münster, Münster, Germany; Joint Institute for Individualisation in a Changing Environment (JICE), University of Münster and Bielefeld, Bielefeld, Germany.
| | - Ulrich Krohs
- Department of Philosophy, University of Münster, Münster, Germany; Joint Institute for Individualisation in a Changing Environment (JICE), University of Münster and Bielefeld, Bielefeld, Germany.
| | - S Helene Richter
- Department of Behavioural Biology, University of Münster, Münster, Germany; Joint Institute for Individualisation in a Changing Environment (JICE), University of Münster and Bielefeld, Bielefeld, Germany.
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2
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Font-I-Furnols M, Guerrero L. An overview of drivers and emotions of meat consumption. Meat Sci 2025; 219:109619. [PMID: 39181809 DOI: 10.1016/j.meatsci.2024.109619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 07/26/2024] [Accepted: 07/29/2024] [Indexed: 08/27/2024]
Abstract
Emotions are present in almost everything we do, including meat procurement, preparation and consumption. This paper examines the main drivers of this consumption, including sensory and hedonic properties, physiological needs, historical reasons and habits, social influence, ethical motives, practical aspects and other determinants, exploring the meat-related emotions as both an outcome of consumption and as consumption drivers. Emotions are affected by multiple factors relating to the context, the information provided, and the type of product. Positive emotions such as pleasure, satisfaction, proudness and joyfulness have been described in relation to meat, as well as some neutral or negative ones. To enhance positive emotions and increase meat liking, it is essential to improve animal welfare and promote a more sustainable production, focusing on nutritional and sensory quality and providing consumers with reliable information.
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Affiliation(s)
| | - Luis Guerrero
- IRTA-Food Quality and Technology, Finca Camps i Armet, Monells, Girona, Spain
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3
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Hartmann K. Unlocking the language: Key features of emotions. Acta Psychol (Amst) 2024; 251:104628. [PMID: 39647453 DOI: 10.1016/j.actpsy.2024.104628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 10/18/2024] [Accepted: 11/28/2024] [Indexed: 12/10/2024] Open
Abstract
Various scientific works indicate different features of emotions as criterial attributes. The aim of this article is to identify the key features of emotions by drawing from various theoretical approaches and utilizing language to identify as many states as possible that meet these criteria. The snowball procedure was used in the research. The initial stage involved selecting key articles (with the highest number of citations in the Web of Science database). Consequently, 72 definitions of emotions were chosen. The definitions' content has been analyzed for criterial attributes of emotions. Eight criteria were proposed as a result of this analysis, representing the fundamental characteristics of emotions according to the collected definitions. Next, an attempt was made to examine the practical understanding and applicability of the identified criterial attributes of emotions. Seven judges examined a comprehensive list of states recognized as emotional and independently assessed which of them met all the selected criteria. In the final stage, their agreement was checked using correlation-based coefficients and a coefficient that takes into account the likelihood of random judge decisions. The article has shown that utilizing language makes it potentially possible to generate a list of emotions that meet the criteria derived from various theoretical approaches.
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Affiliation(s)
- Krystian Hartmann
- Institute of Psychology, Department of Neurocognitive Psychology, University of the National Education Commission, Poland.
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4
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Martínez-Priego C, García-Noblejas BP, Roca P. Strategies and goals in Emotion Regulation models: a systematic review. Front Psychol 2024; 15:1425465. [PMID: 39417024 PMCID: PMC11479914 DOI: 10.3389/fpsyg.2024.1425465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 09/18/2024] [Indexed: 10/19/2024] Open
Abstract
Introduction Studies examining the role of Emotion Regulation (ER) do not consistently explain the underlying model or theory they are employing, resulting in a conflation of different strategies and goals within the ER scientific literature. This study aims to conduct a systematic review and conceptual analysis of the primary strategies and goals advocated in the ER models, theories, and frameworks. Furthermore, we explored the distinctions between the prevailing contemporary ER models and classical conceptions of emotional dynamics, such as those proposed by Aristotle, Descartes, and Darwin. Methods An electronic search was conducted in the Web of Science, Medline, and Scopus databases in November 2023. The key search terms used were grouped into two different topics: Emotion Regulation and Models/Theories/Frameworks. Articles were included if they reported one or more ER model in healthy individuals or emotionally disordered individuals and if they were published in a peer-reviewed journal in English in the last 5 years (from 2019 to 2023). A total of two reviewers independently assessed the titles, abstracts, and full texts. Models identified were summarized and classified based on the different ER strategies and goals. Results Of the 1,012 titles for initial consideration, 139 articles met the full eligibility criteria and were included for data extraction and synthesis. The review identified 10 ER models, and the most commonly used were the Process Model of Emotion Regulation and the Difficulties in Emotion Regulation. There was a great deal of homogeneity among the proposed ER strategies and goals: the cognitive dimension is the core of ER strategy, and the ER goals are primarily hedonic or instrumental in nature. Discussion Both Descartes and Darwin views were present in the ER models; however, some of the most significant contributions in Aristotelian proposal seem to be forgotten, such as the integration of the physical, operational, and growth dimensions (eudaimonic goals). Systematic review registration This systematic review was conducted in accordance with the PRISMA guidelines and was preregistered at Prospero platform (CRD42023491948).
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Affiliation(s)
| | | | - Pablo Roca
- Department of Psychology, Faculty of Health Sciences, Universidad Villanueva, Madrid, Spain
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Dukes D, Sander D. Affectivism and the Emotional Elephant: How a Componential Approach Can Reconcile Opposing Theories to Serve the Future of Affective Sciences. AFFECTIVE SCIENCE 2024; 5:196-200. [PMID: 39391345 PMCID: PMC11461373 DOI: 10.1007/s42761-024-00272-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 08/23/2024] [Indexed: 10/12/2024]
Abstract
This article discusses how the affectivism framework and the componential approach to emotion may serve the future of affective sciences. A particular aim of the article is to show that an appraisal-based componential approach to emotion can help reconcile opposing theories. It begins by contextualizing the evolution of emotion science within the framework of affectivism, acknowledging that the significant epistemological differences between various theories have paradoxically spurred interest in studying emotion across various perspectives and disciplines. If affectivism is regarded as the pursuit of a deeper understanding of not only emotions and other affective processes but also cognitive and behavioral processes, then its success can be partly attributed to the existence of multiple approaches, allowing each discipline and perspective to advance using the most suitable theory and methodology. We contend that a componential approach reveals that the five principal theories of emotion have each focused on one of five components of emotion. Overall, based on the analysis of several articles published in the special issue on the future of affective science, we argue that affective scientists are well equipped not only to build a future in which conceptual and methodological tools will be used to test diverging hypotheses between competing theories but also to acknowledge and celebrate where such theories converge.
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Affiliation(s)
- Daniel Dukes
- Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland
- Department of Psychology, FPSE, University of Geneva, Geneva, Switzerland
| | - David Sander
- Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland
- Department of Psychology, FPSE, University of Geneva, Geneva, Switzerland
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6
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Kitamura T, Hada A, Usui Y, Ohashi Y. Development of the Japanese Version of the Test of Self-Conscious Affect-3 (TOSCA-3): A Study among Student and Parent Population. Behav Sci (Basel) 2024; 14:576. [PMID: 39062399 PMCID: PMC11273926 DOI: 10.3390/bs14070576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 06/20/2024] [Accepted: 07/04/2024] [Indexed: 07/28/2024] Open
Abstract
OBJECTIVE The Test of Self-Conscious Affect-3 (TOSCA-3) is a scenario-based measure of self-conscious emotions. We aimed to create an abridged version of the TOSCA-3 that is appropriate for Japanese populations and has a good fit with the data, as well as validate its subscales. METHODS The TOSCA-3 was distributed to (a) a university student population (n = 512: Study 1) and (b) a parent population (n = 260: Study 2). In both studies, items with factor loading < 0.33 were deleted one by one to select culturally appropriate scenarios for each of the six domains of self-conscious emotions. In Study 1, self-conscious emotions were correlated with the other correlates. RESULTS Most of the final models showed a good fit with the data. In Study 1, the six domains of self-conscious emotions showed correlations with depression and related items, dispositional coping styles, experiences in childhood, ego function, borderline and narcissistic personality traits, and adult attachment styles, almost in the expected fashions. CONCLUSIONS The TOSCA-3 is a useful tool to measure self-conscious emotions among Japanese student and parent populations if a few culturally inappropriate scenarios are deleted.
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Affiliation(s)
- Toshinori Kitamura
- Kitamura Institute of Mental Health Tokyo, 2-26-3 Flat A, Tomigaya, Shibuya-ku, Tokyo 151-0063, Japan; (T.K.); (Y.U.); (Y.O.)
- Kitamura KOKORO Clinic Mental Health, 2-26-3 Flat A, Tomigaya, Shibuya-ku, Tokyo 151-0063, Japan
- T. and F. Kitamura Foundation for Studies and Skill Advancement in Mental Health, Tokyo 151-0063, Japan
- Department of Psychiatry, Graduate School of Medicine, Nagoya University, Nagoya 464-8601, Japan
| | - Ayako Hada
- Kitamura Institute of Mental Health Tokyo, 2-26-3 Flat A, Tomigaya, Shibuya-ku, Tokyo 151-0063, Japan; (T.K.); (Y.U.); (Y.O.)
- Kitamura KOKORO Clinic Mental Health, 2-26-3 Flat A, Tomigaya, Shibuya-ku, Tokyo 151-0063, Japan
- Department of Community Mental Health and Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Tokyo 187-8553, Japan
- Department of Mental Health and Psychiatric Nursing, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo 113-8510, Japan
| | - Yuriko Usui
- Kitamura Institute of Mental Health Tokyo, 2-26-3 Flat A, Tomigaya, Shibuya-ku, Tokyo 151-0063, Japan; (T.K.); (Y.U.); (Y.O.)
- Kitamura KOKORO Clinic Mental Health, 2-26-3 Flat A, Tomigaya, Shibuya-ku, Tokyo 151-0063, Japan
- Department of Midwifery and Women’s Health, Division of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Yukiko Ohashi
- Kitamura Institute of Mental Health Tokyo, 2-26-3 Flat A, Tomigaya, Shibuya-ku, Tokyo 151-0063, Japan; (T.K.); (Y.U.); (Y.O.)
- T. and F. Kitamura Foundation for Studies and Skill Advancement in Mental Health, Tokyo 151-0063, Japan
- Faculty of Nursing, Josai International University, Togane, Chiba 283-8555, Japan
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7
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Wenzel K. Promoting collective precycling behavior: results from a group intervention with Berlin households in Germany. Front Psychol 2024; 15:1340305. [PMID: 38919797 PMCID: PMC11197976 DOI: 10.3389/fpsyg.2024.1340305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 05/22/2024] [Indexed: 06/27/2024] Open
Abstract
To tackle the global waste crisis, there is an urgent need for decisive and joint action at multiple levels. The collective behavior of a community could make a significant contribution. This paper presents the results of a field experiment designed to promote packaging waste prevention - called precycling - in a newly formed community setting, in Berlin, Germany. The aim was to examine the effect of the intervention on precycling and to examine the underlying social identity processes. Over a four-week period, 132 participants from 96 different households digitally received a combination of different interventions, that were theoretically informed by the Social Identity Model of Pro-Environmental Action (SIMPEA). Households were assigned to two intervention groups and a waiting control group. Data was collected before, immediately after and four months after the intervention to assess the impact of the intervention using multilevel models. After the intervention, the overall precycling behavior increased significantly, but not as a result of the different group conditions. In the more comprehensive intervention group, which included social interaction and behavioral experimentation, the community identification was strengthened and the reuse behavior, as a subset of precycling, increased. While a number of social identity processes (collective efficacy beliefs, having a precycling action goal, crisis appraisal, and sufficiency attitudes) were found to positively predict the precycling behavior, surprisingly, the predictive power of social norms and ingroup identification could not be confirmed. Overall, the presented community intervention promoted precycling. However, in this dynamic real-world setting, not all intervention elements worked as expected. The pitfalls and opportunities of this intervention are discussed, and ideas for translating the results into everyday precycling activities are presented.
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Affiliation(s)
- Klara Wenzel
- Center Technology and Society, Technische Universität Berlin, Berlin, Germany
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8
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Schiller D, Yu ANC, Alia-Klein N, Becker S, Cromwell HC, Dolcos F, Eslinger PJ, Frewen P, Kemp AH, Pace-Schott EF, Raber J, Silton RL, Stefanova E, Williams JHG, Abe N, Aghajani M, Albrecht F, Alexander R, Anders S, Aragón OR, Arias JA, Arzy S, Aue T, Baez S, Balconi M, Ballarini T, Bannister S, Banta MC, Barrett KC, Belzung C, Bensafi M, Booij L, Bookwala J, Boulanger-Bertolus J, Boutros SW, Bräscher AK, Bruno A, Busatto G, Bylsma LM, Caldwell-Harris C, Chan RCK, Cherbuin N, Chiarella J, Cipresso P, Critchley H, Croote DE, Demaree HA, Denson TF, Depue B, Derntl B, Dickson JM, Dolcos S, Drach-Zahavy A, Dubljević O, Eerola T, Ellingsen DM, Fairfield B, Ferdenzi C, Friedman BH, Fu CHY, Gatt JM, de Gelder B, Gendolla GHE, Gilam G, Goldblatt H, Gooding AEK, Gosseries O, Hamm AO, Hanson JL, Hendler T, Herbert C, Hofmann SG, Ibanez A, Joffily M, Jovanovic T, Kahrilas IJ, Kangas M, Katsumi Y, Kensinger E, Kirby LAJ, Koncz R, Koster EHW, Kozlowska K, Krach S, Kret ME, Krippl M, Kusi-Mensah K, Ladouceur CD, Laureys S, Lawrence A, Li CSR, Liddell BJ, Lidhar NK, Lowry CA, Magee K, Marin MF, Mariotti V, Martin LJ, Marusak HA, Mayer AV, et alSchiller D, Yu ANC, Alia-Klein N, Becker S, Cromwell HC, Dolcos F, Eslinger PJ, Frewen P, Kemp AH, Pace-Schott EF, Raber J, Silton RL, Stefanova E, Williams JHG, Abe N, Aghajani M, Albrecht F, Alexander R, Anders S, Aragón OR, Arias JA, Arzy S, Aue T, Baez S, Balconi M, Ballarini T, Bannister S, Banta MC, Barrett KC, Belzung C, Bensafi M, Booij L, Bookwala J, Boulanger-Bertolus J, Boutros SW, Bräscher AK, Bruno A, Busatto G, Bylsma LM, Caldwell-Harris C, Chan RCK, Cherbuin N, Chiarella J, Cipresso P, Critchley H, Croote DE, Demaree HA, Denson TF, Depue B, Derntl B, Dickson JM, Dolcos S, Drach-Zahavy A, Dubljević O, Eerola T, Ellingsen DM, Fairfield B, Ferdenzi C, Friedman BH, Fu CHY, Gatt JM, de Gelder B, Gendolla GHE, Gilam G, Goldblatt H, Gooding AEK, Gosseries O, Hamm AO, Hanson JL, Hendler T, Herbert C, Hofmann SG, Ibanez A, Joffily M, Jovanovic T, Kahrilas IJ, Kangas M, Katsumi Y, Kensinger E, Kirby LAJ, Koncz R, Koster EHW, Kozlowska K, Krach S, Kret ME, Krippl M, Kusi-Mensah K, Ladouceur CD, Laureys S, Lawrence A, Li CSR, Liddell BJ, Lidhar NK, Lowry CA, Magee K, Marin MF, Mariotti V, Martin LJ, Marusak HA, Mayer AV, Merner AR, Minnier J, Moll J, Morrison RG, Moore M, Mouly AM, Mueller SC, Mühlberger A, Murphy NA, Muscatello MRA, Musser ED, Newton TL, Noll-Hussong M, Norrholm SD, Northoff G, Nusslock R, Okon-Singer H, Olino TM, Ortner C, Owolabi M, Padulo C, Palermo R, Palumbo R, Palumbo S, Papadelis C, Pegna AJ, Pellegrini S, Peltonen K, Penninx BWJH, Pietrini P, Pinna G, Lobo RP, Polnaszek KL, Polyakova M, Rabinak C, Helene Richter S, Richter T, Riva G, Rizzo A, Robinson JL, Rosa P, Sachdev PS, Sato W, Schroeter ML, Schweizer S, Shiban Y, Siddharthan A, Siedlecka E, Smith RC, Soreq H, Spangler DP, Stern ER, Styliadis C, Sullivan GB, Swain JE, Urben S, Van den Stock J, Vander Kooij MA, van Overveld M, Van Rheenen TE, VanElzakker MB, Ventura-Bort C, Verona E, Volk T, Wang Y, Weingast LT, Weymar M, Williams C, Willis ML, Yamashita P, Zahn R, Zupan B, Lowe L. The Human Affectome. Neurosci Biobehav Rev 2024; 158:105450. [PMID: 37925091 PMCID: PMC11003721 DOI: 10.1016/j.neubiorev.2023.105450] [Show More Authors] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 10/26/2023] [Accepted: 10/27/2023] [Indexed: 11/06/2023]
Abstract
Over the last decades, theoretical perspectives in the interdisciplinary field of the affective sciences have proliferated rather than converged due to differing assumptions about what human affective phenomena are and how they work. These metaphysical and mechanistic assumptions, shaped by academic context and values, have dictated affective constructs and operationalizations. However, an assumption about the purpose of affective phenomena can guide us to a common set of metaphysical and mechanistic assumptions. In this capstone paper, we home in on a nested teleological principle for human affective phenomena in order to synthesize metaphysical and mechanistic assumptions. Under this framework, human affective phenomena can collectively be considered algorithms that either adjust based on the human comfort zone (affective concerns) or monitor those adaptive processes (affective features). This teleologically-grounded framework offers a principled agenda and launchpad for both organizing existing perspectives and generating new ones. Ultimately, we hope the Human Affectome brings us a step closer to not only an integrated understanding of human affective phenomena, but an integrated field for affective research.
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Affiliation(s)
- Daniela Schiller
- Department of Psychiatry, the Nash Family Department of Neuroscience, and the Friedman Brain Institute, at the Icahn School of Medicine at Mount Sinai, New York, NY, United States.
| | - Alessandra N C Yu
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
| | - Nelly Alia-Klein
- Department of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Susanne Becker
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany; Integrative Spinal Research Group, Department of Chiropractic Medicine, University Hospital Balgrist, University of Zurich, Balgrist Campus, Lengghalde 5, 8008 Zurich, Switzerland
| | - Howard C Cromwell
- J.P. Scott Center for Neuroscience, Mind and Behavior, Department of Psychology, Bowling Green State University, Bowling Green, OH 43403, United States
| | - Florin Dolcos
- Beckman Institute for Advanced Science & Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, United States
| | - Paul J Eslinger
- Departments of Neurology, Neural & Behavioral Science, Radiology, and Public Health Sciences, Penn State Hershey Medical Center and College of Medicine, Hershey, PA, United States
| | - Paul Frewen
- Departments of Psychiatry, Psychology and Neuroscience at the University of Western Ontario, London, Ontario, Canada
| | - Andrew H Kemp
- School of Psychology, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, United Kingdom
| | - Edward F Pace-Schott
- Harvard Medical School and Massachusetts General Hospital, Department of Psychiatry, Boston, MA, United States; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Jacob Raber
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, United States; Departments of Neurology, Radiation Medicine, Psychiatry, and Division of Neuroscience, ONPRC, Oregon Health & Science University, Portland, OR, United States
| | - Rebecca L Silton
- Department of Psychology, Loyola University Chicago, Chicago, IL, United States
| | - Elka Stefanova
- Faculty of Medicine, University of Belgrade, Serbia; Neurology Clinic, Clinical Center of Serbia, Serbia
| | - Justin H G Williams
- Griffith University, Gold Coast Campus, 1 Parklands Dr, Southport, QLD 4215, Australia
| | - Nobuhito Abe
- Institute for the Future of Human Society, Kyoto University, 46 Shimoadachi-cho, Yoshida Sakyo-ku, Kyoto, Japan
| | - Moji Aghajani
- Institute of Education & Child Studies, Section Forensic Family & Youth Care, Leiden University, the Netherlands; Department of Psychiatry, Amsterdam UMC, Location VUMC, GGZ InGeest Research & Innovation, Amsterdam Neuroscience, the Netherlands
| | - Franziska Albrecht
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany; Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Karolinska University Hospital, Women's Health and Allied Health Professionals Theme, Medical unit Occupational Therapy & Physiotherapy, Stockholm, Sweden
| | - Rebecca Alexander
- Neuroscience Research Australia, Randwick, Sydney, NSW, Australia; Australian National University, Canberra, ACT, Australia
| | - Silke Anders
- Department of Neurology, University of Lübeck, Lübeck, Germany; Center of Brain, Behavior and Metabolism, University of Lübeck, Lübeck, Germany
| | - Oriana R Aragón
- Yale University, 2 Hillhouse Ave, New Haven, CT, United States; Cincinnati University, Marketing Department, 2906 Woodside Drive, Cincinnati, OH 45221-0145, United States
| | - Juan A Arias
- School of Psychology, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, United Kingdom; Department of Statistics, Mathematical Analysis, and Operational Research, Universidade de Santiago de Compostela, Spain; The Galician Center for Mathematical Research and Technology (CITMAga), 15782 Santiago de Compostela, Spain
| | - Shahar Arzy
- Department of Medical Neurobiology, Hebrew University, Jerusalem, Israel
| | - Tatjana Aue
- Institute of Psychology, University of Bern, Fabrikstr. 8, 3012 Bern, Switzerland
| | | | - Michela Balconi
- International Research Center for Cognitive Applied Neuroscience, Catholic University of Milan, Milan, Italy
| | - Tommaso Ballarini
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Scott Bannister
- Durham University, Palace Green, DH1 RL3 Durham, United Kingdom
| | | | - Karen Caplovitz Barrett
- Department of Human Development & Family Studies, Colorado State University, Fort Collins, CO, United States; Department of Community & Behavioral Health, Colorado School of Public Health, Denver, CO, United States
| | | | - Moustafa Bensafi
- Research Center in Neurosciences of Lyon, CNRS UMR5292, INSERM U1028, Claude Bernard University Lyon 1, Lyon, Centre Hospitalier Le Vinatier, 95 bd Pinel, 69675 Bron Cedex, France
| | - Linda Booij
- Department of Psychology, Concordia University, Montreal, Canada; CHU Sainte-Justine, University of Montreal, Montreal, Canada
| | - Jamila Bookwala
- Department of Psychology, Lafayette College, Easton, PA, United States
| | - Julie Boulanger-Bertolus
- Department of Anesthesiology and Center for Consciousness Science, University of Michigan, Ann Arbor, MI, United States
| | - Sydney Weber Boutros
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, United States
| | - Anne-Kathrin Bräscher
- Department of Clinical Psychology, Psychotherapy and Experimental Psychopathology, University of Mainz, Wallstr. 3, 55122 Mainz, Germany; Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States
| | - Antonio Bruno
- Department of Biomedical, Dental Sciences and Morpho-Functional Imaging - University of Messina, Italy
| | - Geraldo Busatto
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Lauren M Bylsma
- Departments of Psychiatry and Psychology; and the Center for Neural Basis of Cognition, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | | | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Nicolas Cherbuin
- Centre for Research on Ageing, Health, and Wellbeing, Australian National University, Canberra, ACT, Australia
| | - Julian Chiarella
- Department of Psychology, Concordia University, Montreal, Canada; CHU Sainte-Justine, University of Montreal, Montreal, Canada
| | - Pietro Cipresso
- Applied Technology for Neuro-Psychology Lab., Istituto Auxologico Italiano (IRCCS), Milan, Italy; Department of Psychology, University of Turin, Turin, Italy
| | - Hugo Critchley
- Psychiatry, Department of Neuroscience, Brighton and Sussex Medical School (BSMS), University of Sussex, Sussex, United Kingdom
| | - Denise E Croote
- Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai and Friedman Brain Institute, New York, NY 10029, United States; Hospital Universitário Gaffrée e Guinle, Universidade do Rio de Janeiro, Brazil
| | - Heath A Demaree
- Department of Psychological Sciences, Case Western Reserve University, Cleveland, OH, United States
| | - Thomas F Denson
- School of Psychology, University of New South Wales, Sydney, NSW, Australia
| | - Brendan Depue
- Departments of Psychological and Brain Sciences and Anatomical Sciences and Neurobiology, University of Louisville, Louisville, KY, United States
| | - Birgit Derntl
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
| | - Joanne M Dickson
- Edith Cowan University, Psychology Discipline, School of Arts and Humanities, 270 Joondalup Dr, Joondalup, WA 6027, Australia
| | - Sanda Dolcos
- Beckman Institute for Advanced Science & Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, United States
| | - Anat Drach-Zahavy
- The Faculty of Health and Welfare Sciences, University of Haifa, Haifa, Israel
| | - Olga Dubljević
- Neurology Clinic, Clinical Center of Serbia, Serbia; Institute for Biological Research "Siniša Stanković", National Institute of Republic of Serbia, Belgrade, Serbia
| | - Tuomas Eerola
- Durham University, Palace Green, DH1 RL3 Durham, United Kingdom
| | - Dan-Mikael Ellingsen
- Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Beth Fairfield
- Department of Humanistic Studies, University of Naples Federico II, Naples, Italy; UniCamillus, International Medical University, Rome, Italy
| | - Camille Ferdenzi
- Research Center in Neurosciences of Lyon, CNRS UMR5292, INSERM U1028, Claude Bernard University Lyon 1, Lyon, Centre Hospitalier Le Vinatier, 95 bd Pinel, 69675 Bron Cedex, France
| | - Bruce H Friedman
- Department of Psychology, Virginia Tech, Blacksburg, VA, United States
| | - Cynthia H Y Fu
- School of Psychology, University of East London, United Kingdom; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Justine M Gatt
- Neuroscience Research Australia, Randwick, Sydney, NSW, Australia; School of Psychology, University of New South Wales, Randwick, Sydney, NSW, Australia
| | - Beatrice de Gelder
- Department of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Guido H E Gendolla
- Geneva Motivation Lab, University of Geneva, FPSE, Section of Psychology, CH-1211 Geneva 4, Switzerland
| | - Gadi Gilam
- The Institute of Biomedical and Oral Research, Faculty of Dental Medicine, Hebrew University of Jerusalem, Jerusalem, Israel; Systems Neuroscience and Pain Laboratory, Stanford University School of Medicine, CA, United States
| | - Hadass Goldblatt
- Department of Nursing, Faculty of Social Welfare & Health Sciences, University of Haifa, Haifa, Israel
| | | | - Olivia Gosseries
- Coma Science Group, GIGA Consciousness & Centre du Cerveau2, University and University Hospital of Liege, Liege, Belgium
| | - Alfons O Hamm
- Department of Biological and Clinical Psychology/Psychotherapy, University of Greifswald, Greifswald, Germany
| | - Jamie L Hanson
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA 15206, United States
| | - Talma Hendler
- Tel Aviv Center for Brain Function, Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; School of Psychological Sciences, Tel-Aviv University, Tel Aviv, Israel
| | - Cornelia Herbert
- Department of Applied Emotion and Motivation Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
| | - Stefan G Hofmann
- Department of Clinical Psychology, Philipps University Marburg, Germany
| | - Agustin Ibanez
- Universidad de San Andres, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), United States and Trinity Collegue Dublin (TCD), Ireland
| | - Mateus Joffily
- Groupe d'Analyse et de Théorie Economique (GATE), 93 Chemin des Mouilles, 69130 Écully, France
| | - Tanja Jovanovic
- Department of Psychiatry and Behavaioral Neurosciences, Wayne State University, Detroit, MI, United States
| | - Ian J Kahrilas
- Department of Psychology, Loyola University Chicago, Chicago, IL, United States
| | - Maria Kangas
- Department of Psychology, Macquarie University, Sydney, Australia
| | - Yuta Katsumi
- Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, United States; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Elizabeth Kensinger
- Department of Psychology and Neuroscience, Boston College, Boston, MA, United States
| | - Lauren A J Kirby
- Department of Psychology and Counseling, University of Texas at Tyler, Tyler, TX, United States
| | - Rebecca Koncz
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia; Specialty of Psychiatry, The University of Sydney, Concord, New South Wales, Australia
| | - Ernst H W Koster
- Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | | | - Sören Krach
- Social Neuroscience Lab, Translational Psychiatry Unit, University of Lübeck, Lübeck, Germany
| | - Mariska E Kret
- Leiden University, Cognitive Psychology, Pieter de la Court, Waassenaarseweg 52, Leiden 2333 AK, the Netherlands
| | - Martin Krippl
- Faculty of Natural Sciences, Department of Psychology, Otto von Guericke University Magdeburg, Universitätsplatz 2, Magdeburg, Germany
| | - Kwabena Kusi-Mensah
- Department of Psychiatry, Komfo Anokye Teaching Hospital, P. O. Box 1934, Kumasi, Ghana; Department of Psychiatry, University of Cambridge, Darwin College, Silver Street, CB3 9EU Cambridge, United Kingdom; Behavioural Sciences Department, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Cecile D Ladouceur
- Departments of Psychiatry and Psychology and the Center for Neural Basis of Cognition (CNBC), University of Pittsburgh, Pittsburgh, PA, United States
| | - Steven Laureys
- Coma Science Group, GIGA Consciousness & Centre du Cerveau2, University and University Hospital of Liege, Liege, Belgium
| | - Alistair Lawrence
- Scotland's Rural College, King's Buildings, Edinburgh, Scotland; The Roslin Institute, University of Edinburgh, Easter Bush, Scotland
| | - Chiang-Shan R Li
- Connecticut Mental Health Centre, Yale University, New Haven, CT, United States
| | - Belinda J Liddell
- School of Psychology, University of New South Wales, Randwick, Sydney, NSW, Australia
| | - Navdeep K Lidhar
- Department of Psychology, University of Toronto Mississauga, Mississauga, ON, Canada
| | - Christopher A Lowry
- Department of Integrative Physiology and Center for Neuroscience, University of Colorado Boulder, Boulder, CO, United States
| | - Kelsey Magee
- Department of Psychological Sciences, Case Western Reserve University, Cleveland, OH, United States
| | - Marie-France Marin
- Department of Psychology, Université du Québec à Montréal, Montreal, Canada; Research Center, Institut universitaire en santé mentale de Montréal, Montreal, Canada
| | - Veronica Mariotti
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Loren J Martin
- Department of Psychology, University of Toronto Mississauga, Mississauga, ON, Canada
| | - Hilary A Marusak
- Department of Psychiatry and Behavaioral Neurosciences, Wayne State University, Detroit, MI, United States; Merrill Palmer Skillman Institute for Child and Family Development, Wayne State University, Detroit, MI, United States
| | - Annalina V Mayer
- Social Neuroscience Lab, Translational Psychiatry Unit, University of Lübeck, Lübeck, Germany
| | - Amanda R Merner
- Department of Psychological Sciences, Case Western Reserve University, Cleveland, OH, United States
| | - Jessica Minnier
- School of Public Health, Oregon Health & Science University, Portland, OR, United States
| | - Jorge Moll
- Cognitive Neuroscience and Neuroinformatics Unit, D'Or Institute for Research and Education, Rio de Janeiro, Brazil
| | - Robert G Morrison
- Department of Psychology, Loyola University Chicago, Chicago, IL, United States
| | - Matthew Moore
- Beckman Institute for Advanced Science & Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, United States; War Related Illness and Injury Study Center (WRIISC), Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, United States
| | - Anne-Marie Mouly
- Lyon Neuroscience Research Center, CNRS-UMR 5292, INSERM U1028, Universite Lyon, Lyon, France
| | - Sven C Mueller
- Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Andreas Mühlberger
- Department of Psychology (Clinical Psychology and Psychotherapy), University of Regensburg, Regensburg, Germany
| | - Nora A Murphy
- Department of Psychology, Loyola Marymount University, Los Angeles, CA, United States
| | | | - Erica D Musser
- Center for Children and Families, Department of Psychology, Florida International University, Miami, FL, United States
| | - Tamara L Newton
- Department of Psychological and Brain Sciences, University of Louisville, Louisville, KY, United States
| | - Michael Noll-Hussong
- Psychosomatic Medicine and Psychotherapy, TU Muenchen, Langerstrasse 3, D-81675 Muenchen, Germany
| | - Seth Davin Norrholm
- Department of Psychiatry and Behavaioral Neurosciences, Wayne State University, Detroit, MI, United States
| | - Georg Northoff
- Mind, Brain Imaging and Neuroethics Research Unit, University of Ottawa Institute of Mental Health Research, Royal Ottawa Mental Health Centre, Canada
| | - Robin Nusslock
- Department of Psychology and Institute for Policy Research, Northwestern University, 2029 Sheridan Road, Evanston, IL, United States
| | - Hadas Okon-Singer
- School of Psychological Sciences, University of Haifa, Haifa, Israel
| | - Thomas M Olino
- Department of Psychology, Temple University, 1701N. 13th St, Philadelphia, PA, United States
| | - Catherine Ortner
- Thompson Rivers University, Department of Psychology, 805 TRU Way, Kamloops, BC, Canada
| | - Mayowa Owolabi
- Department of Medicine and Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan; University College Hospital, Ibadan, Oyo State, Nigeria; Blossom Specialist Medical Center Ibadan, Oyo State, Nigeria
| | - Caterina Padulo
- Department of Psychological, Health and Territorial Sciences, University of Chieti, Chieti, Italy
| | - Romina Palermo
- School of Psychological Science, University of Western Australia, Perth, WA, Australia
| | - Rocco Palumbo
- Department of Psychological, Health and Territorial Sciences, University of Chieti, Chieti, Italy
| | - Sara Palumbo
- Department of Surgical, Medical and Molecular Pathology and of Critical Care, University of Pisa, Pisa, Italy
| | - Christos Papadelis
- Jane and John Justin Neuroscience Center, Cook Children's Health Care System, Fort Worth, TX, United States; Department of Bioengineering, University of Texas at Arlington, Arlington, TX, United States
| | - Alan J Pegna
- School of Psychology, University of Queensland, Saint Lucia, Queensland, Australia
| | - Silvia Pellegrini
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Kirsi Peltonen
- Research Centre for Child Psychiatry, University of Turku, Turku, Finland; INVEST Research Flagship, University of Turku, Turku, Finland
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam UMC, Location VUMC, GGZ InGeest Research & Innovation, Amsterdam Neuroscience, the Netherlands
| | | | - Graziano Pinna
- The Psychiatric Institute, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
| | - Rosario Pintos Lobo
- Center for Children and Families, Department of Psychology, Florida International University, Miami, FL, United States
| | - Kelly L Polnaszek
- Department of Psychology, Loyola University Chicago, Chicago, IL, United States
| | - Maryna Polyakova
- Neurology Department, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Christine Rabinak
- Department of Pharmacy Practice, Wayne State University, Detroit, MI, United States
| | - S Helene Richter
- Department of Behavioural Biology, University of Münster, Badestraße 13, Münster, Germany
| | - Thalia Richter
- School of Psychological Sciences, University of Haifa, Haifa, Israel
| | - Giuseppe Riva
- Applied Technology for Neuro-Psychology Lab., Istituto Auxologico Italiano (IRCCS), Milan, Italy; Humane Technology Lab., Università Cattolica del Sacro Cuore, Milan, Italy
| | - Amelia Rizzo
- Department of Biomedical, Dental Sciences and Morpho-Functional Imaging - University of Messina, Italy
| | | | - Pedro Rosa
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia; Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, Australia
| | - Wataru Sato
- Psychological Process Research Team, Guardian Robot Project, RIKEN, 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto, Japan
| | - Matthias L Schroeter
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Susanne Schweizer
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom; School of Psychology, University of New South Wales, Sydney, Australia
| | - Youssef Shiban
- Department of Psychology (Clinical Psychology and Psychotherapy), University of Regensburg, Regensburg, Germany; Department of Psychology (Clinical Psychology and Psychotherapy Research), PFH - Private University of Applied Sciences, Gottingen, Germany
| | - Advaith Siddharthan
- Knowledge Media Institute, The Open University, Milton Keynes MK7 6AA, United Kingdom
| | - Ewa Siedlecka
- School of Psychology, University of New South Wales, Sydney, NSW, Australia
| | - Robert C Smith
- Departments of Medicine and Psychiatry, Michigan State University, East Lansing, MI, United States
| | - Hermona Soreq
- Department of Biological Chemistry, Edmond and Lily Safra Center of Brain Science and The Institute of Life Sciences, Hebrew University, Jerusalem, Israel
| | - Derek P Spangler
- Department of Biobehavioral Health, The Pennsylvania State University, State College, PA, United States
| | - Emily R Stern
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States; New York University School of Medicine, New York, NY, United States
| | - Charis Styliadis
- Neuroscience of Cognition and Affection group, Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - James E Swain
- Departments of Psychiatry & Behavioral Health, Psychology, Obstetrics, Gynecology & Reproductive Medicine, and Program in Public Health, Renaissance School of Medicine at Stony Brook University, New York, United States
| | - Sébastien Urben
- Division of Child and Adolescent Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Jan Van den Stock
- Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Michael A Vander Kooij
- Translational Psychiatry, Department of Psychiatry and Psychotherapy, Universitatsmedizin der Johannes Guttenberg University Medical Center, Mainz, Germany
| | | | - Tamsyn E Van Rheenen
- University of Melbourne, Melbourne Neuropsychiatry Centre, Department of Psychiatry, 161 Barry Street, Carlton, VIC, Australia
| | - Michael B VanElzakker
- Division of Neurotherapeutics, Massachusetts General Hospital, Boston, MA, United States
| | - Carlos Ventura-Bort
- Department of Biological Psychology and Affective Science, Faculty of Human Sciences, University of Potsdam, Potsdam, Germany
| | - Edelyn Verona
- Department of Psychology, University of South Florida, Tampa, FL, United States
| | - Tyler Volk
- Professor Emeritus of Biology and Environmental Studies, New York University, New York, NY, United States
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Leah T Weingast
- Department of Social Work and Human Services and the Department of Psychological Sciences, Center for Young Adult Addiction and Recovery, Kennesaw State University, Kennesaw, GA, United States
| | - Mathias Weymar
- Department of Biological Psychology and Affective Science, Faculty of Human Sciences, University of Potsdam, Potsdam, Germany; Faculty of Health Sciences Brandenburg, University of Potsdam, Germany
| | - Claire Williams
- School of Psychology, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, United Kingdom; Elysium Neurological Services, Elysium Healthcare, The Avalon Centre, United Kingdom
| | - Megan L Willis
- School of Behavioural and Health Sciences, Australian Catholic University, Sydney, NSW, Australia
| | - Paula Yamashita
- Department of Integrative Physiology and Center for Neuroscience, University of Colorado Boulder, Boulder, CO, United States
| | - Roland Zahn
- Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Barbra Zupan
- Central Queensland University, School of Health, Medical and Applied Sciences, Bruce Highway, Rockhampton, QLD, Australia
| | - Leroy Lowe
- Neuroqualia (NGO), Truro, Nova Scotia, Canada.
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Kusik D, Tokarz A, Kłosowska J. Antecedents of Workaholism and Work Engagement: A Motivational Perspective in Research on Heavy Work Involvement. Psychol Rep 2024:332941241231718. [PMID: 38339814 DOI: 10.1177/00332941241231718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2024]
Abstract
In this perspective article, we propose encompassing the motivational perspective to enrich future studies on two forms of heavy work involvement (HWI): workaholism and work engagement. Based on the holistic definition of motivation, we build a theoretical instrumentation that includes four motivational categories that are presented and characterized by relevant key terms: I. Activation and energy of action; II. Action orientation and action realization; III. Competencies and cognitive processes; IV. Work environment and the context of action. We use these categories in an analysis of the latest contemporary research which has investigated the motivational determinants of both workaholism and work engagement. Our analysis shows that studies in this perspective are in the initial stages; we propose examples of theories and models as well as important precise questions embedded in each I-IV motivation category that can stimulate future research directions. The concluding comments include three main recommendations for future research on HWI.
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Affiliation(s)
- Diana Kusik
- Institute of Psychology, Jagiellonian University, Krakow, Poland
| | | | - Joanna Kłosowska
- Institute of Psychology, Jagiellonian University, Krakow, Poland
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Ersöz S, Nissen A, Schütte R. Risk, Trust, and Emotion in Online Pharmacy Medication Purchases: Multimethod Approach Incorporating Customer Self-Reports, Facial Expressions, and Neural Activation. JMIR Form Res 2023; 7:e48850. [PMID: 38145483 PMCID: PMC10775049 DOI: 10.2196/48850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 10/10/2023] [Accepted: 11/03/2023] [Indexed: 12/26/2023] Open
Abstract
BACKGROUND Online pharmacies are used less than other e-commerce sites in Germany. Shopping behavior does not correspond to consumption behavior, as online purchases are predominantly made for over-the-counter (OTC) medications. OBJECTIVE The objective of this study was to understand the purchasing experiences of online pharmacy customers in terms of critical factors for online pharmacy adoption. METHODS This study examined the perceived risk, perceived trust, and emotions related to purchasing medications online and, consequently, the purchase intention toward online pharmacies. In a within-subjects design (N=37 participants), 2 German online pharmacies with different perceptions of risk and trust were investigated for their main business, namely OTC and prescription drugs. The results of a preliminary study led to 1 online pharmacy with high and 1 with significantly low self-reported risk by the prestudy sample. Emotions were measured with a multimethod approach during and after the purchase situation as follows: (1) neural evaluation processes using functional near-infrared spectroscopy, (2) the automated direct motor response during the use of the online pharmacy via facial expression analysis (FaceReader), and (3) subjective evaluations through self-reports. Following the shopping experiences at both pharmacies for both product types, risk, trust, and purchase intention toward the pharmacies were assessed using self-assessments. RESULTS The 2 online pharmacies were rated differently in terms of risk, trust, emotions, and purchase intention. The high-risk pharmacy was also perceived as having lower trust and vice versa. Significantly stronger negative emotional expressions on customers' faces and different neural activations in the ventromedial prefrontal cortex and dorsomedial prefrontal cortex were measured when purchasing prescription drugs from the high-risk pharmacy than from the low-risk pharmacy, combined with OTC medications. In line with this, customers' self-ratings indicated higher negative emotions for the high-risk pharmacy and lower negative emotions for the low-risk pharmacy. Moreover, the ratings showed lower purchase intention for the high-risk pharmacy. CONCLUSIONS Using multimethod measurements, we showed that the preceding neural activation and subsequent verbal evaluation of online pharmacies are reflected in the customers' immediate emotional facial expressions. High-risk online pharmacies and prescription drugs lead to stronger negative emotional facial expressions and trigger neural evaluation processes that imply perceived loss. Low-risk online pharmacies and OTC medications lead to weaker negative emotional facial expressions and trigger neural evaluation processes that signify certainty and perceived reward. The results may provide an explanation for why OTC medications are purchased online more frequently than prescription medications.
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Affiliation(s)
- Semra Ersöz
- Institute for Marketing and Retail, Faculty of Economic Sciences, University of Duisburg-Essen, Essen, Germany
| | - Anika Nissen
- Institute for Business Administration, Faculty of Economic Sciences, University of Hagen, Hagen, Germany
| | - Reinhard Schütte
- Institute for Computer Science and Business Information Systems, Faculty of Economic Sciences, University of Duisburg-Essen, Essen, Germany
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11
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Braine A, Georges F. Emotion in action: When emotions meet motor circuits. Neurosci Biobehav Rev 2023; 155:105475. [PMID: 37996047 DOI: 10.1016/j.neubiorev.2023.105475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 11/15/2023] [Accepted: 11/17/2023] [Indexed: 11/25/2023]
Abstract
The brain is a remarkably complex organ responsible for a wide range of functions, including the modulation of emotional states and movement. Neuronal circuits are believed to play a crucial role in integrating sensory, cognitive, and emotional information to ultimately guide motor behavior. Over the years, numerous studies employing diverse techniques such as electrophysiology, imaging, and optogenetics have revealed a complex network of neural circuits involved in the regulation of emotional or motor processes. Emotions can exert a substantial influence on motor performance, encompassing both everyday activities and pathological conditions. The aim of this review is to explore how emotional states can shape movements by connecting the neural circuits for emotional processing to motor neural circuits. We first provide a comprehensive overview of the impact of different emotional states on motor control in humans and rodents. In line with behavioral studies, we set out to identify emotion-related structures capable of modulating motor output, behaviorally and anatomically. Neuronal circuits involved in emotional processing are extensively connected to the motor system. These circuits can drive emotional behavior, essential for survival, but can also continuously shape ongoing movement. In summary, the investigation of the intricate relationship between emotion and movement offers valuable insights into human behavior, including opportunities to enhance performance, and holds promise for improving mental and physical health. This review integrates findings from multiple scientific approaches, including anatomical tracing, circuit-based dissection, and behavioral studies, conducted in both animal and human subjects. By incorporating these different methodologies, we aim to present a comprehensive overview of the current understanding of the emotional modulation of movement in both physiological and pathological conditions.
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Affiliation(s)
- Anaelle Braine
- Univ. Bordeaux, CNRS, IMN, UMR 5293, F-33000 Bordeaux, France
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12
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Córdova A, Caballero-García A, Drobnic F, Roche E, Noriega DC. Influence of Stress and Emotions in the Learning Process: The Example of COVID-19 on University Students: A Narrative Review. Healthcare (Basel) 2023; 11:1787. [PMID: 37372905 DOI: 10.3390/healthcare11121787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/06/2023] [Accepted: 06/15/2023] [Indexed: 06/29/2023] Open
Abstract
Emotional instability and stress are the main disturbances that condition the learning process, affecting both teachers and students. The main objective of this review is to analyze the influence of stress and emotions (as part of stress) on the learning environment. Stress is a physiological mechanism that the organism develops to adapt and survive external and internal challenges. In this context, stress tends to be seen as a negative condition in the learning process when it is chronic. Extreme stress situations, such as the COVID-19 pandemic, can generate anxiety and frustration in students. However, other studies indicate that controlled stress can positively enhance the learning process. On the other hand, the quality and intensity of emotions resulting from stress can influence as well the learning process. Positive emotions are healthy and can promote optimal learning. Emotions lead to sentimental, cognitive, behavioral, and physiological changes, which will have a strong influence on intellectual performance. The activation of coping strategies constitutes a key mechanism for dealing positively with problems and challenges, generating positive emotions essential for the self-regulation of learning. In conclusion, correct management of emotions in stressful situations could promote effective learning through enhanced attention and capacity to solve problems.
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Affiliation(s)
- Alfredo Córdova
- Department de Bioquímica, Biología Molecular y Fisiología, Facultad de Ciencias de la Salud, GIR: "Ejercicio Físico y Envejecimiento", Universidad de Valladolid, Campus Universitario "Los Pajaritos", 42004 Soria, Spain
| | - Alberto Caballero-García
- Department de Anatomía y Radiología, Facultad de Ciencias de la Salud, GIR: "Ejercicio Físico y Envejecimiento", Universidad de Valladolid, Campus Universitario "Los Pajaritos", 42004 Soria, Spain
| | - Franchek Drobnic
- Medical Services Wolverhampton Wanderers FC, Wolverhampton WV3 9BF, UK
| | - Enrique Roche
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Applied Biology-Nutrition, Institute of Bioengineering, University Miguel Hernández, 03202 Elche, Spain
- Alicante Institute for Health and Biomedical Research (ISABIAL), 03010 Alicante, Spain
| | - David C Noriega
- Department Cirugía, Oftalmología, Otorrinolaringología y Fisioterapia, Facultad de Medicina, 47003 Valladolid, Spain
- Departamento de Columna Vertebral, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain
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13
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Maier NA, Mendzheritskaya J, Hagenauer G, Hansen M, Kordts R, Stephan M, Thies K. Developing a CVTAE-based conceptual framework for examining emotions in higher education teaching: a systematic literature review. Front Psychol 2023; 14:1142506. [PMID: 37213360 PMCID: PMC10196116 DOI: 10.3389/fpsyg.2023.1142506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 03/30/2023] [Indexed: 05/23/2023] Open
Abstract
A number of studies on higher education (HE) teachers' emotions have been carried out, but overall, the literature on this issue is relatively limited, even though HE teaching can be regarded as an emotional endeavor and represents an important topic in HE research. The main goal of this article was to develop a conceptual framework for examining teaching-related emotions of HE teachers by revising and extending the control-value theory of achievement emotions (CVTAE) developed to systematically classify existing findings on emotions in HE teachers and to identify a research agenda for future studies in this field. Therefore, we conducted a systematic literature review on empirical studies investigating HE teachers' teaching-related emotions to gain insights into (1) the theoretical concepts and approaches used to study HE teachers' emotions as well as the (2) antecedents and (3) consequences of experienced emotions identified in the existing studies. By applying a systematic literature review, 37 studies were found. Based on the conducted systematic review, we propose a CVTAE-based conceptual framework for examining HE teachers' emotions in HE teaching with additional components relating to both antecedents and consequences of HE teachers' experienced emotions. We discuss the proposed conceptual framework from the theoretical perspective, pointing out new aspects that should be considered in future research on HE teachers' emotions. From the methodological perspective, we address aspects related to research designs and mixed-method approaches. Finally, we list implications for future higher education development programs.
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Affiliation(s)
- Nicola A. Maier
- Department of Educational Psychology, Institute of Psychology, Goethe University, Frankfurt, Germany
- *Correspondence: Nicola A. Maier
| | - Julia Mendzheritskaya
- Department of Educational Psychology, Institute of Psychology, Goethe University, Frankfurt, Germany
| | - Gerda Hagenauer
- School of Education and Institute of Educational Science, School Research and School Practice, Paris Lodron University of Salzburg, Salzburg, Austria
| | - Miriam Hansen
- Department of Educational Psychology, Institute of Psychology, Goethe University, Frankfurt, Germany
| | - Robert Kordts
- Department of Education, Faculty of Psychology, University of Bergen, Bergen, Norway
| | - Melanie Stephan
- Institute for Educational Science, Research and Teaching Unit for Pedagogy With a Focus on Media Education, University of Erlangen-Nuremberg, Nuremberg, Germany
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Da-yong Z, Zhan S. Short video users' personality traits and social sharing motivation. Front Psychol 2022; 13:1046735. [PMID: 36571026 PMCID: PMC9784466 DOI: 10.3389/fpsyg.2022.1046735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 11/14/2022] [Indexed: 12/14/2022] Open
Abstract
Purpose/significance Studying the correlation between short video users' personality traits and their sharing motivation can enrich the theoretical research on social sharing motivation and provide a reference for short-video content management and platform construction. Methods/process Based on uses and gratifications theory and personality traits theory, a structural model affecting short-video users' sharing motivations was proposed. A total of 579 valid questionnaires were collected from a social network, and the proposed hypotheses were tested using SPSS and Amos software. Results/conclusion The results show that the personality traits of short-video users affect their sharing motivation and that their specific sharing motivation also differ due to their personality traits. At the same time, the research results also confirm the Matthew effect of "the rich getting richer" and the social compensation effect of "the poor getting richer" in the context of social platforms that host short videos.
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Affiliation(s)
- Zhang Da-yong
- State Key Laboratory of Communication Content Cognition, People's Daily Online, Beijing, China,Key Laboratory of Interactive Media Design and Equipment Services Innovation, Harbin Institute of Technology, Harbin, China,*Correspondence: Zhang Da-yong,
| | - Su Zhan
- Key Laboratory of Interactive Media Design and Equipment Services Innovation, Harbin Institute of Technology, Harbin, China
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15
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Luong T, Lecuyer A, Martin N, Argelaguet F. A Survey on Affective and Cognitive VR. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2022; 28:5154-5171. [PMID: 34495833 DOI: 10.1109/tvcg.2021.3110459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
In Virtual Reality (VR), users can be immersed in emotionally intense and cognitively engaging experiences. Yet, despite strong interest from scholars and a large amount of work associating VR and Affective and Cognitive States (ACS), there is a clear lack of structured and systematic form in which this research can be classified. We define "Affective and Cognitive VR" to relate to works which (1) induce ACS, (2) recognize ACS, or (3) exploit ACS by adapting virtual environments based on ACS measures. This survey clarifies the different models of ACS, presents the methods for measuring them with their respective advantages and drawbacks in VR, and showcases Affective and Cognitive VR studies done in an Immersive Virtual Environment (IVE) in a non-clinical context. Our article covers the main research lines in Affective and Cognitive VR. We provide a comprehensive list of references with the analysis of 63 research articles and summarize future works directions.
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Leiß TV, Rausch A. How Personality, Emotions and Situational Characteristics Affect Learning from Social Interactions in the Workplace. VOCATIONS AND LEARNING 2022; 16:73-97. [PMID: 36406797 PMCID: PMC9647763 DOI: 10.1007/s12186-022-09303-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 10/06/2022] [Indexed: 06/16/2023]
Abstract
The present study examines the effects of social interactions' situational characteristics, emotions, and personality on self-perceived learning from social interactions at work based on diary and survey data. The sample comprises 43 German vocational education and training (VET) trainees in various apprenticeship programs. During the diary period of ten working days, the participants were instructed to record five typical social interactions at work every day. Quantitative data of 1,328 social interactions were analyzed by means of multilevel analysis. Regarding social interactions' characteristics, the analysis revealed the baseline level of instrumentality, an interruption of the social interaction, its instrumentality and questions asked by the trainee during the interaction as positive predictors of self-perceived learning. A trainee's higher speech proportion, however, was a negative predictor. Regarding state emotions, the emotional experiences of bored and motivated were identified as significant positive predictors of learning from social interactions at work. Emotions' baseline level as well as personality traits had no significant influence. The results indicate that social interactions' situational characteristics have the biggest influence on self-perceived learning from social interactions.
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Affiliation(s)
| | - Andreas Rausch
- Mannheim Business School (MBS), University of Mannheim, Mannheim, Germany
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17
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Paredes-Velasco M, Velázquez-Iturbide JÁ, Gómez-Ríos M. Augmented reality with algorithm animation and their effect on students' emotions. MULTIMEDIA TOOLS AND APPLICATIONS 2022; 82:11819-11845. [PMID: 36090153 PMCID: PMC9449290 DOI: 10.1007/s11042-022-13679-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 03/11/2022] [Accepted: 08/11/2022] [Indexed: 06/15/2023]
Abstract
Algorithm animations are a resource that assists in learning algorithms by visually displaying the behavior of an algorithm at a higher level of abstraction than source code. On the other hand, augmented reality is a technology that allows extending visible reality in a mobile device, which can result in greater emotional well-being for the student. However, it is not clear how to integrate algorithm animations with augmented reality. The article makes two contributions to this concern. On the one hand, we describe an architecture that allows generating interactive algorithm animations, integrating them appropriately in the context of immersive augmented reality. This way the user can watch the source code of the algorithm, augmented with textual explanations, visualizations and animations of its behavior. We illustrate the use of the architecture by instantiating it to the well-known Dijkstra's algorithm, resulting in an augmented reality tool that generates text, 2D and 3D visualizations. On the other hand, the influence of the tool on the user's emotions has been studied by conducting an experience with face-to-face and online students. The results show that, with the joint use of augmented reality and visualizations, the students: experienced significantly more positive than negative emotions, experienced more agitation and stimulation than inactivity or calm, enjoyed as much as they expected, and their feeling of boredom decreased during the experience. However, students felt anxiety from the beginning and it increased with the use of augmented reality. The study also found that the face-to-face or online learning model influences emotions and learning outcomes with augmented reality.
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Affiliation(s)
- Maximiliano Paredes-Velasco
- Department of Computing and Statistics, Rey Juan Carlos University, C/ Tulipán, s/n, 28933 Móstoles, Madrid, Spain
| | - J Ángel Velázquez-Iturbide
- Department of Computing and Statistics, Rey Juan Carlos University, C/ Tulipán, s/n, 28933 Móstoles, Madrid, Spain
| | - Mónica Gómez-Ríos
- Department of System Engineering, Salesian Polytechnic University, Guayaquil, Ecuador
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Sipaviciene S. The Relationships between Psychological Well-Being, Emotions and Coping in COVID-19 Environment: The Gender Aspect for Postgraduate Students. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10132. [PMID: 36011768 PMCID: PMC9407968 DOI: 10.3390/ijerph191610132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/09/2022] [Accepted: 08/14/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Postgraduate students were exposed to the Coronavirus pandemic, and their study process changed from face-to-face to online. The purpose of this study was to analyze the impact of gender differences on emotions, coping strategies and psychological well-being (PWB) in the environment of the Coronavirus pandemic second wave (11 July 2020-30 June 2021). METHODS Ryff scale, MEQ Multidimensional emotion questionnaire, and brief COPE scale. The participants' consisted of postgraduate students (74 female and 54 male). The study was conducted from 21 June 2022 to 28 June 2022. RESULTS Postgraduate students rated their PWB levels insignificantly in terms of gender. However, the individual components of this construct were evaluated as being significantly different in terms of gender. Females were more likely to feel negative emotions and had a harder time regulating these emotions than males. Female students were less likely than males to use problem-focused and avoidant-focused coping strategies. CONCLUSIONS Postgraduate females were more affected than males by the Coronavirus pandemic. Females' PWB was more concerned with emotions than males. Females were less likely than males to use problem-focused coping strategies.
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Affiliation(s)
- Saule Sipaviciene
- Department of Health Promotion and Rehabilitation, Lithuanian Sports University, 44221 Kaunas, Lithuania
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19
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Arici HE, Köseoglu MA, Cakmakoglu Arici N. Emotions in service research: evolutionary analysis and empirical review. SERVICE INDUSTRIES JOURNAL 2022. [DOI: 10.1080/02642069.2022.2101638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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20
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Sanchez-Reolid R, Martinez-Saez MC, Garcia-Martinez B, Fernandez-Aguilar L, Segura LR, Latorre JM, Fernandez-Caballero A. Emotion Classification from EEG with a Low-Cost BCI Versus a High-End Equipment. Int J Neural Syst 2022; 32:2250041. [DOI: 10.1142/s0129065722500411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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21
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Dumciene A, Pozeriene J. The Emotions, Coping, and Psychological Well-Being in Time of COVID-19: Case of Master's Students. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:6014. [PMID: 35627550 PMCID: PMC9141952 DOI: 10.3390/ijerph19106014] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 05/10/2022] [Accepted: 05/13/2022] [Indexed: 02/04/2023]
Abstract
Background: Master’s students have been affected by COVID-19 and the changing study conditions due to the lockdown. The aim was to uncover changes in emotions, coping strategies, and psychological well-being during a pandemic. Methods: Ryff scale, multidimensional emotion questionnaire, and Brief COPE scale. Participants: sample of 118 master’s students after the first wave and 128 master’s students after the second wave. Results: After the second wave of COVID-19, the happy, enthusiastic, and inspired scores of the emotion construct components increased statistically significantly (p < 0.05), but the scores of the components sad, afraid, angry, ashamed, and anxious decreased significantly (p < 0.05). After the first wave, students commonly used planning, positive reframing, self-blame, humor, and acceptance coping strategies, which are classified as problem-focused and emotion-focused coping strategies. The psychological well-being of master’s students after the second wave was statistically (p < 0.05) better than that after the first wave in many indicators. Environment mastery skills did not change significantly. Significant associations were revealed between the same components of psychological well-being, emotion, and coping strategies. Conclusions: This study showed that the master’s students improved their adaptive abilities probably in the environment of long-term exposure to coronavirus disease, as most psychological well-being indicators improved significantly after the second wave.
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Affiliation(s)
- Audrone Dumciene
- Department of Physical and Social Education, Lithuanian Sports University, Sporto 6, LT-44221 Kaunas, Lithuania
| | - Jurate Pozeriene
- Department of Health Promotion and Rehabilitation, Lithuanian Sports University, Sporto 6, LT-44221 Kaunas, Lithuania;
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22
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Impact of environmental complexity and stocking density on affective states of rainbow trout (Oncorhynchus mykiss). Anim Cogn 2022; 25:1331-1343. [DOI: 10.1007/s10071-022-01616-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 02/28/2022] [Accepted: 03/15/2022] [Indexed: 11/01/2022]
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Li G, Chen N, Jin J. Semi-supervised EEG Emotion Recognition Model Based on Enhanced Graph Fusion and GCN. J Neural Eng 2022; 19. [PMID: 35378516 DOI: 10.1088/1741-2552/ac63ec] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 04/04/2022] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To take full advantage of both labeled data and unlabeled ones, the Graph Convolutional Network (GCN) was introduced in electroencephalography (EEG) based emotion recognition to achieve feature propagation. However, a single feature cannot represent the emotional state entirely and precisely due to the instability of the EEG signal and the complexity of the emotional state. In addition, the noise existing in the graph may affect the performance greatly. To solve these problems, it was necessary to introduce feature/similarity fusion and noise reduction strategies. APPROACH A semi-supervised EEG emotion recognition model combining graph fusion, network enhancement, and feature fusion was proposed. Firstly, different features were extracted from EEG and then compacted by Principal Component Analysis (PCA), respectively. Secondly, a Sample-by-sample Similarity Matrix (SSM) was constructed based on each feature, and Similarity Network Fusion (SNF) was adopted to fuse the graphs corresponding to different SSMs to take advantage of their complementarity. Then, Network Enhancement (NE) was performed on the fused graph to reduce the noise in it. Finally, GCN was performed on the concatenated features and the enhanced fused graph to achieve feature propagation. MAIN RESULTS Experimental results demonstrated that: i) When 5.30% of SEED and 7.20% of SEED-IV samples were chosen as the labeled samples, respectively, the minimum classification accuracy improvement achieved by the proposed scheme over state-of-the-art schemes were 1.52% on SEED and 13.14% on SEED-IV, respectively. ii) When 8.00% of SEED and 9.60% of SEED-IV samples were chosen as the labeled samples, respectively, the minimum training time reduction achieved by the proposed scheme over state-of-the-art schemes were 46.75s and 22.55s, respectively. iii) Graph fusion, network enhancement, and feature fusion all contributed to the performance enhancement. iv) The key hyperparameters that affect the performance were relatively few and easy to set to obtain outstanding performance. SIGNIFICANCE This paper demonstrated that the combination of graph fusion, network enhancement, and feature fusion help to enhance GCN-based EEG emotion recognition.
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Affiliation(s)
- Guangqiang Li
- School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, CHINA
| | - Ning Chen
- School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, CHINA
| | - Jing Jin
- School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, CHINA
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24
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But CH, Li JCH, Tze VMC. Boredom coping profiles among international students in canada and canadian students: similarities and differences. CURRENT PSYCHOLOGY 2022. [DOI: 10.1007/s12144-022-03031-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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25
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Two-dimensional CNN-based distinction of human emotions from EEG channels selected by multi-objective evolutionary algorithm. Sci Rep 2022; 12:3523. [PMID: 35241745 PMCID: PMC8894479 DOI: 10.1038/s41598-022-07517-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 02/21/2022] [Indexed: 01/17/2023] Open
Abstract
In this study we explore how different levels of emotional intensity (Arousal) and pleasantness (Valence) are reflected in electroencephalographic (EEG) signals. We performed the experiments on EEG data of 32 subjects from the DEAP public dataset, where the subjects were stimulated using 60-s videos to elicitate different levels of Arousal/Valence and then self-reported the rating from 1 to 9 using the self-assessment Manikin (SAM). The EEG data was pre-processed and used as input to a convolutional neural network (CNN). First, the 32 EEG channels were used to compute the maximum accuracy level obtainable for each subject as well as for creating a single model using data from all the subjects. The experiment was repeated using one channel at a time, to see if specific channels contain more information to discriminate between low vs high arousal/valence. The results indicate than using one channel the accuracy is lower compared to using all the 32 channels. An optimization process for EEG channel selection is then designed with the Non-dominated Sorting Genetic Algorithm II (NSGA-II) with the objective to obtain optimal channel combinations with high accuracy recognition. The genetic algorithm evaluates all possible combinations using a chromosome representation for all the 32 channels, and the EEG data from each chromosome in the different populations are tested iteratively solving two unconstrained objectives; to maximize classification accuracy and to reduce the number of required EEG channels for the classification process. Best combinations obtained from a Pareto-front suggests that as few as 8–10 channels can fulfill this condition and provide the basis for a lighter design of EEG systems for emotion recognition. In the best case, the results show accuracies of up to 1.00 for low vs high arousal using eight EEG channels, and 1.00 for low vs high valence using only two EEG channels. These results are encouraging for research and healthcare applications that will require automatic emotion recognition with wearable EEG.
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26
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A Structured Review of Emotional Barriers to WASH Provision for Schoolgirls Post-Disaster. SUSTAINABILITY 2022. [DOI: 10.3390/su14042471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Pubescent girls face unique emotional barriers to returning to school after a disaster concerning water, sanitation and hygiene (WASH). This paper explores themes of WASH, gender violence, the lack of dignity and sense of shame arising from inadequate WASH facilities for girls in disaster settings. We conducted a structured literature review of 126 sources to investigate the emotional constraints facing pubescent girls concerning WASH in schools in Indonesia, a region prone to frequent disasters. Findings are synthesised into four major themes: psychological experiences of WASH, challenges faced by girls in schools, barriers to inclusive WASH provision and how to create a holistic approach to WASH. Key conclusions include the need for interdisciplinary research, cross sectoral collaboration, more evidence and research in Indonesia, especially regarding menstrual hygiene management, improved toilet design to reduce the physical barriers linked to emotional barriers and inclusive design for those with disabilities.
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Die jungen Wilden brauchen Führung: Treiber von Innovativität und Zufriedenheit im Arbeitsumfeld innovationsferner Branchen. GIO-GRUPPE-INTERAKTION-ORGANISATION-ZEITSCHRIFT FUER ANGEWANDTE ORGANISATIONSPSYCHOLOGIE 2022. [DOI: 10.1007/s11612-022-00618-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
ZusammenfassungDer vorliegende Beitrag in der Zeitschrift „Gruppe. Interaktion. Organisation.“ beantwortet die Frage, wie insbesondere Unternehmen in eher innovationsfernen Branchen wie der Versicherungs- und Energiebranche ihre Arbeitnehmer:innen über alle Altersstufen hinweg so unterstützen können, dass innovatives Verhalten am Arbeitsplatz optimal gefördert wird. Hintergrund ist, dass in den kommenden Jahren zwei Welten aufeinanderprallen: Unternehmen müssen innovativ sein, um im Wettbewerb zu bestehen. New Work als strategischer Ansatz ist dabei in aller Munde. Gleichzeitig steigt das Durchschnittsalter der Beschäftigten, weil qualifizierter Nachwuchs in vielen Bereichen fehlt.In einer quantitativen Online-Befragung wurden auf Basis validierter Skalen Daten zur kreativitätsförderlichen Gestaltung des Arbeitsumfelds, zur Erwartungshaltung an New Work, zum innovativen Verhalten im Arbeitsumfeld und zur Zufriedenheit mit dem Ausschöpfungsgrad des eigenen Innovationspotenzials (Ausschöpfungszufriedenheit) erhoben. Die Antwortenden wurden mithilfe einer K‑Means-Clusteranalyse nach Alter und innovativem Verhalten gruppiert, um im Folgenden die jüngeren Innovativen („Junge Wilde“) mit den älteren Innovativen („Erfahrene Pioniere“) vergleichen zu können.Ein durchaus überraschendes Ergebnis ist, dass „die jungen Wilden“ mehr Führung und Struktur benötigen als „die erfahrenen Pioniere“. Da Innovativität signifikant mit der Ausschöpfungszufriedenheit korreliert, wurden ferner in linearen Regressionsanalysen die Treiber dieser Zufriedenheit im Arbeitsumfeld untersucht. Altersunabhängig führen regelmäßige Schulungen und Übungen zu mehr Zufriedenheit. Jedoch benötigen „die jungen Wilden“ Führung und Unterstützung und kommen mit Projektgruppen weniger gut zurecht. „Die erfahrenen Pioniere“ hingegen benötigen in erster Linie den Willen und die Infrastruktur zum gegenseitigen Austausch. Die Ergebnisse legen daher eine altersabhängige Ausgestaltung des Arbeitsumfelds und des Führungsverhaltens nahe.
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28
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Wang Y. To Be Expressive or Not: The Role of Teachers’ Emotions in Students’ Learning. Front Psychol 2022; 12:737310. [PMID: 35111095 PMCID: PMC8802995 DOI: 10.3389/fpsyg.2021.737310] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 11/05/2021] [Indexed: 11/13/2022] Open
Abstract
Understanding the role of teachers’ facial expressions in students’ learning is helpful to improve online teaching. Therefore, this study explored the effects of teacher’s facial expressions on students’ learning through analyzing three groups of video lectures. Participants were 78 students enrolled in three groups: one with an enhanced-expression teacher, one with a conventional-expression teacher, and one with the teacher’s audio only. ANOVA was used to explore whether video lectures instructed by the enhanced-expression teacher were better than those instructed by the conventional-expression teacher and the audio-only teacher for facilitating students’ learning, and what is the role of the teacher’s emotions in students’ perceived social presence, arousal level, cognitive load, and learning. The results showed that the video lecture by the enhanced-expression teacher was better than those with the conventional-expression teacher and with the audio-only for facilitating students’ social presence, arousal level, and long-term learning. Interestingly, it was found that the teacher’s emotions could relieve students’ cognitive load. These results explained the inconsistency of existing studies by exploring the mechanism of teachers’ emotions in students’ learning. It also provides teachers with practical guidance for video lecture design.
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Affiliation(s)
- Yang Wang
- *Correspondence: Yang Wang, ; orcid.org/0000-0002-4125-9436
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29
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Apicella A, Arpaia P, Mastrati G, Moccaldi N. EEG-based detection of emotional valence towards a reproducible measurement of emotions. Sci Rep 2021; 11:21615. [PMID: 34732756 PMCID: PMC8566577 DOI: 10.1038/s41598-021-00812-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 09/20/2021] [Indexed: 11/09/2022] Open
Abstract
A methodological contribution to a reproducible Measurement of Emotions for an EEG-based system is proposed. Emotional Valence detection is the suggested use case. Valence detection occurs along the interval scale theorized by the Circumplex Model of emotions. The binary choice, positive valence vs negative valence, represents a first step towards the adoption of a metric scale with a finer resolution. EEG signals were acquired through a 8-channel dry electrode cap. An implicit-more controlled EEG paradigm was employed to elicit emotional valence through the passive view of standardized visual stimuli (i.e., Oasis dataset) in 25 volunteers without depressive disorders. Results from the Self Assessment Manikin questionnaire confirmed the compatibility of the experimental sample with that of Oasis. Two different strategies for feature extraction were compared: (i) based on a-priory knowledge (i.e., Hemispheric Asymmetry Theories), and (ii) automated (i.e., a pipeline of a custom 12-band Filter Bank and Common Spatial Pattern). An average within-subject accuracy of 96.1 %, was obtained by a shallow Artificial Neural Network, while k-Nearest Neighbors allowed to obtain a cross-subject accuracy equal to 80.2%.
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Affiliation(s)
- Andrea Apicella
- Laboratory of Augmented Reality for Health Monitoring (ARHeMLab), Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
| | - Pasquale Arpaia
- Laboratory of Augmented Reality for Health Monitoring (ARHeMLab), Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy.
- Interdepartmental Center for Research on Management and Innovation in Healthcare (CIRMIS), University of Naples Federico II, Naples, Italy.
| | - Giovanna Mastrati
- Laboratory of Augmented Reality for Health Monitoring (ARHeMLab), Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
| | - Nicola Moccaldi
- Laboratory of Augmented Reality for Health Monitoring (ARHeMLab), Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
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A Short Version of the Physical Activity Enjoyment Scale: Development and Psychometric Properties. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111035. [PMID: 34769552 PMCID: PMC8582913 DOI: 10.3390/ijerph182111035] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 10/10/2021] [Accepted: 10/15/2021] [Indexed: 11/21/2022]
Abstract
Objective: The purposes of this paper were to (a) develop a new short, theory-driven, version of the physical activity enjoyment scale (PACES-S) using content analysis; and (b) subsequently to measure the psychometric properties (construct validity, internal consistency, test–retest reliability, and concurrent validity) of the PACES-S for adolescents. Methods: Six experts used a four-point Likert scale to assess the content validity of each of the 16 items of the physical activity enjoyment scale according to a provided definition of physical activity enjoyment. Based on the results, exploratory factor analysis was used to analyze survey data from a longitudinal study of 182 individuals (Measure 1 of Study 1: 15.75 ± 3.39 yrs; 56.6% boys, 43.4% girls), and confirmatory factor analysis (Measure 2 of Study 1: 15.69 ± 3.44 yrs; 56.3% boys, 43.7% girls) was used to analyze the survey data from a cross-sectional study of 3219 individuals (Study 2; 15.99 ± 3.10 yrs; 47.8% boys, 52.2% girls) to assess the construct validity of the new measure. To assess the reliability, test–retest reliability was assessed in Study 1 and internal consistency in Study 1 and 2. For the concurrent validity, correlations with self-reported and device-based physical activity behavior were assessed in both studies. Results: Four out of sixteen items were selected for PACES-S. Exploratory factor analysis and confirmatory factor analyses identified and supported its factorial validity (χ2 = 53.62, df = 2, p < 0.001; RMSEA = 0.073; CFI = 0.99; RFI = 0.96; NFI = 0.99; TLI = 0.96; IFI = 0.99). Results showed good test–retest reliability (r = 0.76) and internal consistency (a = 0.82 to 0.88). Regarding concurrent validity, the results showed positive correlations with a physical activity questionnaire (Study 1: r = 0.36), with a physical activity diary (Study 1: r = 0.44), and with accelerometer-recorded data (Study 1: r = 0.32; Study 2: r = 0.21). Conclusions: The results indicate that PACES-S is a reliable and valid instrument that may be particularly useful to measure physical activity enjoyment in large-scale studies. It shows comparable measurement properties as the long version of PACES.
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31
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Piermattéo A. Social Representations and Emotions. EUROPEAN PSYCHOLOGIST 2021. [DOI: 10.1027/1016-9040/a000459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Abstract. A number of authors consider that exploring the interconnections between social representations and emotions is essential. However, both empirical and theoretical contributions have focused on specific aspects of these concepts and thus offer a narrow view of their articulation. Moreover, these are published in different languages, making it difficult to provide an overview of the current knowledge on the subject. Consequently, this article adopts a broader approach through a literature review articulating social representations and emotions. This is based on a search of various databases, conducted between March and April 2020 and using the terms “social representation” and “emotion” (or affect, mood, or feeling) in their singular and plural forms, both in French and in English. As a result, 41 references explicitly mentioned both terms and were published in English, French, Portuguese, and Spanish were collected. This brought to light two lines of inquiry that structure this field of research: the first focuses on the role of emotions in the emergence, dynamics, and functioning of social representations, while the second explores how social representations determine emotions or emotional processes. These perspectives will be discussed from both a theoretical and methodological standpoint with the aim of highlighting new avenues for research.
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Yilmaz MB, Orhan F, Zeren SG. Adolescent emotion scale for online lessons: A study from Turkey. EDUCATION AND INFORMATION TECHNOLOGIES 2021; 27:3403-3420. [PMID: 34602846 PMCID: PMC8475407 DOI: 10.1007/s10639-021-10734-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Accepted: 08/26/2021] [Indexed: 06/13/2023]
Abstract
People's day-to-day routines have changed drastically since the outbreak of the COVID-19 pandemic. One of the changes to take place has been the transition to online learning due to the changing conditions in learning environments. One of the factors that guide students through learning environments is their emotions. The few existing scales that measure the emotions of adolescents in learning environments have been developed with consideration of face-to-face learning environments and their items do not adequately express the state of online environments. For this reason, this study aimed to develop a scale which reveals the emotions of adolescents that may affect their academic success with regard to this transition of learning environments as they attend online lessons. A total of 3,655 middle and high school students living in Istanbul, Turkey, participated in the study. The scoring system was designed with regard to the frequency with which each student reading an item experiences the relevant emotion for the item in the online learning environment. Exploratory and confirmatory factor analyses conducted show the scale to possess a four-dimensional structure. These dimensions are enjoyment-pride, boredom-hopelessness, loneliness and anxiety. For all dimensions of the scale, Cronbach alpha values range between .93 and .83. 'Positive and Negative Affects Schedule-Children' was used to confirm the scale's criterion-related validity, and correlations between dimensions were examined. After validity and reliability studies, the Adolescent Emotion Scale for Online Lessons was found to be sufficient. The scale can be used by experts and teachers who wish to determine adolescents' emotions during a period of online learning.
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Affiliation(s)
- M. Betul Yilmaz
- Faculty of Education, Computer Education and Instructional Technologies Department, Yildiz Technical University, Istanbul, Turkey
| | - Feza Orhan
- Faculty of Education, Computer Education and Instructional Technologies Department, Yildiz Technical University, Istanbul, Turkey
| | - S. Gonca Zeren
- Present Address: Faculty of Education, Department of Educational Sciences, Psychological Counseling and Guidance, Canakkale Onsekiz Mart University, Canakkale, Turkey
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Docteur A, Gorwood P, Mirabel-Sarron C, Kaya Lefèvre H, Sala L, Duriez P. Mindfulness-based cognitive therapy efficacy in reducing physiological response to emotional stimuli in patients with bipolar I disorder and the intermediate role of cognitive reactivity. J Clin Psychol 2021; 77:2442-2454. [PMID: 34517435 DOI: 10.1002/jclp.23243] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 06/01/2021] [Accepted: 07/26/2021] [Indexed: 11/09/2022]
Abstract
OBJECTIVES This study aims to investigate the impact of Mindfulness-Based Cognitive Therapy (MBCT) for bipolar disorders on emotional responses by using skin conductance recording, and to investigate a mediating or predictive effect of cognitive reactivity. METHODS Sixty-seven patients with bipolar disorder were assessed at baseline, pre-MBCT and post-MBCT. After answering inventories regarding depression and dysfunctional attitudes, they were instructed to focus on emotional pictures from the International Affective Pictures System while electrodermal recording. RESULTS For a subgroup of patients having a significant change of the electrodermal response, MBCT reduced dysfunctional attitudes and the amplitude of the physiological response to negative stimuli. Findings also show that lower dysfunctional attitudes at baseline predicted a larger reduction of physiological reactivity. CONCLUSIONS MBCT could decrease patient's reactivity to negative stimuli by decreasing its physiological component, which is coherent with its aim to facilitate disengaging from affective stimuli. Further studies are needed to better understand the mechanisms involved and how this could translate in reducing the risk of relapse.
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Affiliation(s)
- Aurélie Docteur
- Centre des Maladies et de l'Encéphale (CMME), GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France
| | - Philip Gorwood
- Centre des Maladies et de l'Encéphale (CMME), GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France.,INSERM U1266, Université de Paris, Institute of Psychiatry and Neuroscience of Paris (IPNP), Paris, France
| | - Christine Mirabel-Sarron
- Centre des Maladies et de l'Encéphale (CMME), GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France
| | - Héline Kaya Lefèvre
- Centre des Maladies et de l'Encéphale (CMME), GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France.,LPPS, Université de Paris, Boulogne-Billancourt, France
| | - Loretta Sala
- Centre des Maladies et de l'Encéphale (CMME), GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France
| | - Philibert Duriez
- Centre des Maladies et de l'Encéphale (CMME), GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France.,INSERM U1266, Université de Paris, Institute of Psychiatry and Neuroscience of Paris (IPNP), Paris, France
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Anderson MG, Campbell AM, Crump A, Arnott G, Jacobs L. Environmental complexity positively impacts affective states of broiler chickens. Sci Rep 2021; 11:16966. [PMID: 34417475 PMCID: PMC8379235 DOI: 10.1038/s41598-021-95280-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 07/16/2021] [Indexed: 02/07/2023] Open
Abstract
Affective state can bias an animal's judgement. Animals in positive affective states can interpret ambiguous cues more positively ("optimistically") than animals in negative affective states. Thus, judgement bias tests can determine an animal's affective state through their responses to ambiguous cues. We tested the effects of environmental complexity and stocking density on affective states of broiler chickens through a multimodal judgement bias test. Broilers were trained to approach reinforced locations signaled by one color and not to approach unreinforced locations signaled by a different color. Trained birds were tested for latencies to approach three ambiguous cues of intermediate color and location. Broilers discriminated between cues, with shorter latencies to approach ambiguous cues closest to the reinforced cue than cues closest to the unreinforced cue, validating the use of the test in this context. Broilers housed in high-complexity pens approached ambiguous cues faster than birds in low-complexity pens-an optimistic judgement bias, suggesting the former were in a more positive affective state. Broilers from high-density pens tended to approach all cues faster than birds from low-density pens, possibly because resource competition in their home pen increased food motivation. Overall, our study suggests that environmental complexity improves broilers' affective states, implying animal welfare benefits of environmental enrichment.
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Affiliation(s)
- M. G. Anderson
- grid.438526.e0000 0001 0694 4940Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA USA
| | - A. M. Campbell
- grid.438526.e0000 0001 0694 4940Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA USA
| | - A. Crump
- grid.13063.370000 0001 0789 5319Centre for Philosophy of Natural and Social Science, London School of Economics and Political Science, London, UK
| | - G. Arnott
- grid.4777.30000 0004 0374 7521School of Biological Sciences, Queen’s University Belfast, Belfast, UK
| | - L. Jacobs
- grid.438526.e0000 0001 0694 4940Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA USA
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Emotion induction in young and old persons on watching movie segments: Facial expressions reflect subjective ratings. PLoS One 2021; 16:e0253378. [PMID: 34143827 PMCID: PMC8213152 DOI: 10.1371/journal.pone.0253378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 06/03/2021] [Indexed: 11/22/2022] Open
Abstract
Film clips are established to induce or intensify mood states in young persons. Fewer studies address induction of mood states in old persons. Analysis of facial expression provides an opportunity to substantiate subjective mood states with a psychophysiological variable. We investigated healthy young (YA; n = 29; age 24.4 ± 2.3) and old (OA; n = 28; age 69.2 ± 7.4) participants. Subjects were exposed to film segments validated in young adults to induce four basic emotions (anger, disgust, happiness, sadness). We analyzed subjective mood states with a 7-step Likert scale and facial expressions with an automated system for analysis of facial expressions (FaceReader™ 7.0, Noldus Information Technology b.v.) for both the four target emotions as well as concomitant emotions. Mood expressivity was analysed with the Berkeley Expressivity Questionnaire (BEQ) and the Short Suggestibility Scale (SSS). Subjective mood intensified in all target emotions in the whole group and both YA and OA subgroups. Facial expressions of mood intensified in the whole group for all target emotions except sadness. Induction of happiness was associated with a decrease of sadness in both subjective and objective assessment. Induction of sadness was observed with subjective assessment and accompanied by a decrease of happiness in both subjective and objective assessment. Regression analysis demonstrated pre-exposure facial expressions and personality factors (BEQ, SSS) to be associated with the intensity of facial expression on mood induction. We conclude that mood induction is successful regardless of age. Analysis of facial expressions complement self-assessment of mood and may serve as a means of objectification of mood change. The concordance between self-assessment of mood change and facial expression is modulated by personality factors.
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Yousef M, Dietrich T, Rundle-Thiele S. Social Advertising Effectiveness in Driving Action: A Study of Positive, Negative and Coactive Appeals on Social Media. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18115954. [PMID: 34206119 PMCID: PMC8199559 DOI: 10.3390/ijerph18115954] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 05/21/2021] [Accepted: 05/24/2021] [Indexed: 11/17/2022]
Abstract
Background: Social media offers a cost-effective and wide-reaching advertising platform for marketers. Objectively testing the effectiveness of social media advertising remains difficult due to a lack of guiding frameworks and applicable behavioral measures. This study examines advertising appeals’ effectiveness in driving engagement and actions on and beyond social media platforms. Method: In an experiment, positive, negative and coactive ads were shared on social media and promoted for a week. The three ads were controlled in an A/B testing experiment to ensure applicable comparison. Measures used included impressions, likes, shares and clicks following the multi-actor social media engagement framework. Data were extracted using Facebook ads manager and website data. Significance was tested through a series of chi-square tests. Results: The promoted ads reached over 21,000 users. Significant effect was found for appeal type on engagement and behavioral actions. The findings support the use of negative advertising appeals over positive and coactive appeals. Conclusion: Practically, in the charity and environment context, advertisers aiming to drive engagement on social media as well as behavioral actions beyond social media should consider negative advertising appeals. Theoretically, this study demonstrates the value of using the multi-actor social media engagement framework to test advertising appeal effectiveness. Further, this study proposes an extension to evaluate behavioral outcomes.
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Motivation-Achievement Cycles in Learning: a Literature Review and Research Agenda. EDUCATIONAL PSYCHOLOGY REVIEW 2021. [DOI: 10.1007/s10648-021-09616-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
AbstractThe question of how learners’ motivation influences their academic achievement and vice versa has been the subject of intensive research due to its theoretical relevance and important implications for the field of education. Here, we present our understanding of how influential theories of academic motivation have conceptualized reciprocal interactions between motivation and achievement and the kinds of evidence that support this reciprocity. While the reciprocal nature of the relationship between motivation and academic achievement has been established in the literature, further insights into several features of this relationship are still lacking. We therefore present a research agenda where we identify theoretical and methodological challenges that could inspire further understanding of the reciprocal relationship between motivation and achievement as well as inform future interventions. Specifically, the research agenda includes the recommendation that future research considers (1) multiple motivation constructs, (2) behavioral mediators, (3) a network approach, (4) alignment of intervals of measurement and the short vs. long time scales of motivation constructs, (5) designs that meet the criteria for making causal, reciprocal inferences, (6) appropriate statistical models, (7) alternatives to self-reports, (8) different ways of measuring achievement, and (9) generalizability of the reciprocal relations to various developmental, ethnic, and sociocultural groups.
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Cusano DA, Indeck KL, Noad MJ, Dunlop RA. Humpback whale (Megaptera novaeangliae) social call production reflects both motivational state and arousal. BIOACOUSTICS 2020. [DOI: 10.1080/09524622.2020.1858450] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Dana A. Cusano
- Cetacean Ecology and Acoustics Laboratory, School of Veterinary Science, University of Queensland, Gatton, Australia
| | - Katherine L. Indeck
- Cetacean Ecology and Acoustics Laboratory, School of Veterinary Science, University of Queensland, Gatton, Australia
| | - Michael J. Noad
- Cetacean Ecology and Acoustics Laboratory, School of Veterinary Science, University of Queensland, Gatton, Australia
| | - Rebecca A. Dunlop
- Cetacean Ecology and Acoustics Laboratory, School of Veterinary Science, University of Queensland, Gatton, Australia
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Luo JM, Lam CF. Travel Anxiety, Risk Attitude and Travel Intentions towards "Travel Bubble" Destinations in Hong Kong: Effect of the Fear of COVID-19. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17217859. [PMID: 33120949 PMCID: PMC7672589 DOI: 10.3390/ijerph17217859] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 10/04/2020] [Accepted: 10/06/2020] [Indexed: 12/13/2022]
Abstract
The impacts of COVID-19 are massive. Global tourism is one of the industries that is heavily affected. “Travel bubble”, a recent term initiated by travel operators, is a programme that allows tourists to travel to countries nearby without quarantine requirements. This study investigates the relationship amongst fear of COVID-19, travel anxiety, risk attitude and travel intention towards “travel bubble” destinations. Results show that fear of COVID-19, travel anxiety and risk attitude negatively impact travel intention. Furthermore, travel anxiety and risk attitude moderate the indirect impacts between fear of COVID-19 and travel intention. Future research and implications of practices are presented.
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Affiliation(s)
- Jian Ming Luo
- Faculty of International Tourism and Management, City University of Macau, Macau, China;
| | - Chi Fung Lam
- Department of Finance, The Chinese University of Hong Kong, Hong Kong, China
- Correspondence:
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40
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Peña D, Tanaka F. Human Perception of Social Robot’s Emotional States via Facial and Thermal Expressions. ACM TRANSACTIONS ON HUMAN-ROBOT INTERACTION 2020. [DOI: 10.1145/3388469] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Facial and thermal expressions can be used by humans to interpret emotions. While facial expressions can be a voluntary reaction, the change of temperature in the body is often not. Thus, a facial expression may not always be consistent with the emotional state that is expressed by the body temperature. This article aims to study the human perception of the emotional expression and the emotional state of a robot that simultaneously uses its face and body temperature. To this end, a robot, named TherMoody, which has the capability to change its body temperature from 10–55℃, was used. Then, 25 combinations (5x5: one facial expression and one thermal expression for anger, joy, fear, sadness, and neutral state) were evaluated by 15 participants. Thermal expressions were designed based on the metaphors of emotions related to temperature. The results show people tend to base their judgment of the robot’s emotional expression exclusively in its facial expression, regardless of the change of its body temperature. However, there are combinations where the thermal expression predominates over the facial expression when judging the robot’s emotional state. Thus, these combinations may produce the perception that the robot’s emotional expression is, in fact, genuine, simulated, masked, or neutralized.
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Abstract
The primary objective of this study was to investigate the effects of cyberbullying through social exclusion and verbal harassment on emotional, stress, and coping responses. Twenty-nine undergraduate students (16 females aged 18.25 ± 0.58 years and 13 males aged 18.46 ± 1.13 years) volunteered for the study. All volunteers participated in two experiments that stimulated cyberbullying through social exclusion or verbal harassment. In the first experiment, the effects of cyberbullying through social exclusion were investigated using a virtual ball-tossing game known as Cyberball. In the second experiment, the influence of cyberbullying through verbal harassment was tested using a hypothetical scenario together with reading of online comments. Emotional, stress, and coping responses were measured via the Positive Affect and Negative Affect Scale, the Dundee Stress State Questionnaire, and the Coping Inventory for Task Stress, respectively. The results demonstrated that social exclusion and verbal harassment induced a negative emotional state. We also found that verbal harassment through the use of impolite language increased engagement, and increased worry compared with social exclusion effects.
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42
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Test Anxiety and Physiological Arousal: A Systematic Review and Meta-Analysis. EDUCATIONAL PSYCHOLOGY REVIEW 2020. [DOI: 10.1007/s10648-020-09543-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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Magaz-González AM, Sahelices-Pinto C, Mendaña-Cuervo C, García-Tascón M. Overall Quality of Sporting Events and Emotions as Predictors of Future Intentions of Duathlon Participants. Front Psychol 2020; 11:1432. [PMID: 32848968 PMCID: PMC7396665 DOI: 10.3389/fpsyg.2020.01432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 05/28/2020] [Indexed: 11/13/2022] Open
Abstract
The present study is intended to analyze the effect of global quality, perceived value, general satisfaction, and emotions on future behavior patterns among participants in the European Duathlon Championship. In this sense, a questionnaire was administered (n = 210), composed of four sections: essential demographic and profiling variables, perceived quality, overall quality, and emotions. Consequently, a relational model was designed to be examined by means of structural equation modeling (SEM) and fuzzy set qualitative comparative analysis (fsQCA). Results reveal that global quality and general satisfaction are key dimensions for determining future behaviors of participants, but not so the perceived value. Moreover, up to three combinations of these dimensions together with emotions -pleasure and arousal- emerged as enough for depicting future intentions to a great extent. In this line, a remarkably sufficient combination consists of global quality, general satisfaction, pleasure, and arousal. These findings will guide organizers to design strategies that provide exciting experiences, as well as quality and satisfaction to the participants of sports events.
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Affiliation(s)
- Ana Mᵃ Magaz-González
- Departament of Didactic of Musical, Plastic and Corporal Expression, Faculty of Education, University of Valladolid, Soria, Spain
| | - César Sahelices-Pinto
- Departament of Economic and Business Administration, Faculty of Economics and Business Administration, University of Leon, Leon, Spain
| | - Cristina Mendaña-Cuervo
- Departament of Economic and Business Administration, Faculty of Economics and Business Administration, University of Leon, Leon, Spain
| | - Marta García-Tascón
- Department of Sports and IT, Faculty of Sport Sciences, Pablo de Olavide University, Seville, Spain
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Baier-Fuentes H, González-Serrano MH, Alonso-Dos Santos M, Inzunza-Mendoza W, Pozo-Estrada V. Emotions and Sport Management: A Bibliometric Overview. Front Psychol 2020; 11:1512. [PMID: 32754088 PMCID: PMC7366861 DOI: 10.3389/fpsyg.2020.01512] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 06/08/2020] [Indexed: 11/13/2022] Open
Abstract
Emotions are considered a fundamental aspect of sport scenarios, and within sports, consumer behavior is a very popular area of research in the sport management field. Thus, in recent years, there has been a growing interest for sport managers regarding the role that emotions play in sport consumer behavior. Thus, the aim of this paper is to provide an overview of the academic research on emotions in the sport management field using two techniques: a bibliometric performance analysis and a graphic mapping of the references in this field. This analysis focuses on authors, journals, papers, institutions and countries. Bibliometric indicators including the h-index measure, productivity and the number of citations were used to perform the performance analysis. Then, VOSviewer software was used to perform co-citation, bibliographic coupling and co-occurrence of keyword analysis (mapping analysis). The results of both types of analysis are consistent, with the United States being the most influential country in emotions in sport management research because the main authors and institutions in this research field belong to this country. The overall results indicate that the literature on this research topic has grown significantly in recent years in all scientific disciplines; however, the research topic is incipient, and therefore, the number of articles is still limited. Thus, this research presents the key aspects in the topic of emotions in sport management that could be helpful for researchers and policy makers in the field of sport management to make future decisions.
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Affiliation(s)
- Hugo Baier-Fuentes
- Department of Business Administration, Universidad Católica de la Santísima Concepción, Concepción, Chile
| | - María Huertas González-Serrano
- Department of Teaching and Learning of Physical Education, Plastic and Music Education, Universidad Católica de Valencia, Valencia, Spain
| | - Manuel Alonso-Dos Santos
- Department of Business Administration, Universidad Católica de la Santísima Concepción, Concepción, Chile.,Department of Marketing and Market Research, Facultad de Ciencias Económicas y Empresariales, University of Granada, Granada, Spain
| | - Williams Inzunza-Mendoza
- Department of Business Administration, Universidad Católica de la Santísima Concepción, Concepción, Chile
| | - Victor Pozo-Estrada
- Department of Business Administration, Universidad Católica de la Santísima Concepción, Concepción, Chile
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Abstract
Subject-independent emotion recognition based on physiological signals has become a research hotspot. Previous research has proved that electrodermal activity (EDA) signals are an effective data resource for emotion recognition. Benefiting from their great representation ability, an increasing number of deep neural networks have been applied for emotion recognition, and they can be classified as a Convolutional Neural Network (CNN), a Recurrent Neural Network (RNN), or a combination of these (CNN+RNN). However, there has been no systematic research on the predictive power and configurations of different deep neural networks in this task. In this work, we systematically explore the configurations and performances of three adapted deep neural networks: ResNet, LSTM, and hybrid ResNet-LSTM. Our experiments use the subject-independent method to evaluate the three-class classification on the MAHNOB dataset. The results prove that the CNN model (ResNet) reaches a better accuracy and F1 score than the RNN model (LSTM) and the CNN+RNN model (hybrid ResNet-LSTM). Extensive comparisons also reveal that our three deep neural networks with EDA data outperform previous models with handcraft features on emotion recognition, which proves the great potential of the end-to-end DNN method.
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Jeong IC, Bychkov D, Searson PC. Wearable Devices for Precision Medicine and Health State Monitoring. IEEE Trans Biomed Eng 2020; 66:1242-1258. [PMID: 31021744 DOI: 10.1109/tbme.2018.2871638] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Wearable technologies will play an important role in advancing precision medicine by enabling measurement of clinically-relevant parameters describing an individual's health state. The lifestyle and fitness markets have provided the driving force for the development of a broad range of wearable technologies that can be adapted for use in healthcare. Here we review existing technologies currently used for measurement of the four primary vital signs: temperature, heart rate, respiration rate, and blood pressure, along with physical activity, sweat, and emotion. We review the relevant physiology that defines the measurement needs and evaluate the different methods of signal transduction and measurement modalities for the use of wearables in healthcare.
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Paul ES, Sher S, Tamietto M, Winkielman P, Mendl MT. Towards a comparative science of emotion: Affect and consciousness in humans and animals. Neurosci Biobehav Rev 2020; 108:749-770. [PMID: 31778680 PMCID: PMC6966324 DOI: 10.1016/j.neubiorev.2019.11.014] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 10/08/2019] [Accepted: 11/18/2019] [Indexed: 02/06/2023]
Abstract
The componential view of human emotion recognises that affective states comprise conscious, behavioural, physiological, neural and cognitive elements. Although many animals display bodily and behavioural changes consistent with the occurrence of affective states similar to those seen in humans, the question of whether and in which species these are accompanied by conscious experiences remains controversial. Finding scientifically valid methods for investigating markers for the subjective component of affect in both humans and animals is central to developing a comparative understanding of the processes and mechanisms of affect and its evolution and distribution across taxonomic groups, to our understanding of animal welfare, and to the development of animal models of affective disorders. Here, contemporary evidence indicating potential markers of conscious processing in animals is reviewed, with a view to extending this search to include markers of conscious affective processing. We do this by combining animal-focused approaches with investigations of the components of conscious and non-conscious emotional processing in humans, and neuropsychological research into the structure and functions of conscious emotions.
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Affiliation(s)
- Elizabeth S Paul
- Bristol Veterinary School, University of Bristol, Langford House, Langford, Bristol, BS40 5DU, UK.
| | - Shlomi Sher
- Department of Psychology, Pomona College, Claremont, CA, USA
| | - Marco Tamietto
- Department of Medical and Clinical Psychology, Tilburg University, Tilburg, the Netherlands; Department of Psychology, University of Torino, Torino, Italy
| | - Piotr Winkielman
- Department of Psychology, University of California, San Diego, La Jolla, CA, 92093, USA; Faculty of Psychology, SWPS University of Social Sciences and Humanities, 03-815, Warsaw, Poland
| | - Michael T Mendl
- Bristol Veterinary School, University of Bristol, Langford House, Langford, Bristol, BS40 5DU, UK
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Abstract
Abstract
Intelligent agents built on the basis of the BDI (belief–desire–intention) architecture are known as BDI agents. Currently, due to the increasing importance given to the affective capacities, they have evolved giving way to the BDI emotional agents. These agents are generally characterized by affective states such as emotions, mood or personality but sometimes also by affective capacities such as empathy or emotional regulation. In the paper, a review of the most relevant proposals to include emotional aspects in the design of BDI agents is presented. Both BDI formalizations and BDI architecture extensions are covered. From the review, common findings and good practices modeling affect, empathy and regulatory capacities in BDI agents, are extracted. In spite of the great advance in the area several, open questions remain and are also discussed in the paper.
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50
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