Relevant bibliographies by topics / Emotional contagion

Academic literature on the topic 'Emotional contagion'

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Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Emotional contagion"

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Wróbel, Monika, and Michał Olszanowski. "Emotional reactions to dynamic morphed facial expressions: A new method to induce emotional contagion." Roczniki Psychologiczne 22, no. 1 (November 19, 2019): 91–102. http://dx.doi.org/10.18290/rpsych.2019.22.1-6.

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In the current study, we tested the utility of a new method developed to study emotional contagion (i.e., the transfer of emotional states between people). Inspired by studies on emotional mimicry – a process that has been postulated as one of the main mechanisms leading to emotional contagion, we created a set of videos showing morphed facial expressions of happiness, sadness, and anger. Following exposure to each video, participants rated their emotions. Our findings demonstrated that the videos evoked congruent emotions in viewers, thereby supporting the notion that dynamic morphed facial expressions may be effective “emotionally contagious” stimuli. Additionally, in line with the previous studies and classic theories of emotional contagion, the displays of anger evoked a complementary reaction of fear.
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Zhang, Yu-Heng, Xi Wang, Meng-Meng Chen, Yi-Mei Tai, and Jin-Hua Li. "“Emotional Proximity” and “Spatial Proximity”: Higher Relationship Quality and Nearer Distance Both Strengthen Scratch Contagion in Tibetan Macaques." Animals 12, no. 16 (August 22, 2022): 2151. http://dx.doi.org/10.3390/ani12162151.

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Behavioral contagion has been defined as a phenomenon in which an unlearned behavior automatically triggers a similar behavior in others. Previous studies showed that a behavioral contagion might have the function of strengthening social relationships, promoting group coordination and maintaining social cohesion. However, so far, there are few studies investigating the correlation between contagious scratching and social bonding. Tibetan macaques (Macaca thibetana) live in multi-male and multi-female cohesive matrilineal groups, and scratching is usually observed in their affiliated interactions. We investigated the process of scratch contagion in one group of free-ranging Tibetan macaques and explored whether behavioral contagion could consolidate social relationships and maintain social stability. Results showed that the scratching was contagious and correlated with relationship quality and spatial distance. In dyads with a higher Dyadic Composite Sociality Index (DSI), the contagion was strong. In addition, contagions occurred more frequently and faster among individuals nearer to each other. In terms of social groups, members with higher social centrality participated in more behavioral contagion, whether as expressers or observers. Our findings provide new perspectives for studying behavioral contagions in humans and animals.
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Doherty, R. William, Lisa Orimoto, Theodore M. Singelis, Elaine Hatfield, and Janine Hebb. "Emotional Contagion." Psychology of Women Quarterly 19, no. 3 (September 1995): 355–71. http://dx.doi.org/10.1111/j.1471-6402.1995.tb00080.x.

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Theorists have proposed that men and women and those in various occupational groups should differ in their susceptibility to primitive emotional contagion. Study 1 was designed to explore the extent to which gender and occupation affected respondents’ self-reports of emotional contagion, as measured by the Emotional Contagion (EC) scale. As predicted, women in a variety of occupations secured higher total EC scores than did men. Study 2 was designed to determine the extent to which gender affected self-reports of emotional contagion (again as measured by the EC scale) and actual responsiveness to others’ emotions. As predicted, women received higher EC scores, reported sharing the targets’ emotions to a greater extent, and were rated by judges as displaying more emotional contagion than did men.
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Tang, Jingyun, Guang Yu, and Xiaoxu Yao. "Emotional Contagion in the Online Depression Community." Healthcare 9, no. 12 (November 23, 2021): 1609. http://dx.doi.org/10.3390/healthcare9121609.

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Negative emotions are prevalent in the online depression community (ODC), which potentially puts members at risk, according to the theory of emotional contagion. However, emotional contagion in the ODC has not been confirmed. The generalized estimating equation (GEE) was used to verify the extent of emotional contagion using data from 1548 sample users in China’s popular ODC. During interaction, the emotional themes were analyzed according to language use. The diurnal patterns of the interaction behaviors were also analyzed. We identified the susceptible groups and analyzed their characteristics. The results confirmed the occurrence of emotional contagion in ODC, that is, the extent to which the user’s emotion was affected by the received emotion. Our study also found that when positive emotional contagion occurred, the replies contained more hopefulness, and when negative emotional contagion occurred, the replies contained more hopelessness and fear. Second, positive emotions were easier to spread, and people with higher activity in ODC were more susceptible. In addition, nighttime was an active period for user interaction. The results can help community managers and support groups take measures to promote the spread of positive emotions and reduce the spread of negative emotions.
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Liu, Xiao-Yu, Nai-Wen Chi, and Dwayne D. Gremler. "Emotion Cycles in Services: Emotional Contagion and Emotional Labor Effects." Journal of Service Research 22, no. 3 (March 17, 2019): 285–300. http://dx.doi.org/10.1177/1094670519835309.

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Service organizations encourage employees to express positive emotions in service encounters, in the hope that customers “catch” these emotions and react positively. Yet customer and employee emotions could be mutually influential. To understand emotional exchanges in service encounters and their influences on customer outcomes, the current study models the interplay of emotional contagion and emotional labor, as well as their influence on customer satisfaction. Employees might catch customers’ emotions and transmit those emotions back to customers through emotional contagion, and employee emotional labor likely influences this cycle by modifying the extent to which emotional contagion occurs. Data from 268 customer-employee dyads, gathered from a large chain of foot massage parlors, confirm the existence of an emotion cycle. Deep acting, as one type of emotional labor used by employees, hinders the transmission of negative emotions to customers, whereas surface acting facilitates it. Both customer emotions and employee emotional labor thus have critical influences on service encounters. The findings highlight the importance of understanding the potential influence of customer preservice emotions and the presence of an emotion cycle during service delivery.
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Hatfield, Elaine, John T. Cacioppo, and Richard L. Rapson. "Emotional Contagion." Current Directions in Psychological Science 2, no. 3 (June 1993): 96–100. http://dx.doi.org/10.1111/1467-8721.ep10770953.

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Du, Jiangang, Mengya Yang, and Jianhua Liu. "Flow effect and resonance effect: group emotional contagion in service failure encounters." Journal of Contemporary Marketing Science 2, no. 3 (December 17, 2019): 217–32. http://dx.doi.org/10.1108/jcmars-01-2019-0010.

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Purpose The purpose of this paper is to explore the two effects (flow effect and resonance effect) during a group complaint based on the emotional contagion theory. Design/methodology/approach This study uses an experimental research design in which participants’ negative emotions dynamically change driven by group emotional interactions when they are experiencing a group complaint. Findings Flow effect and resonance effect can occur during the process of group emotional contagion. Specifically, when group customers’ negative emotional similarity is low in a group complaint, group emotional contagion leads to flow effect (i.e. negative emotions flow from customers with higher levels of negative emotions to those with lower levels of negative emotions). By contrast, when group customers’ negative emotional similarity is high in a group complaint, group emotional contagion leads to resonance effect (i.e. group customers’ negative emotions increase significantly). Originality/value Most of the previous research studies the process of emotional contagion from one with higher levels of emotional displays to the other with lower levels of emotional displays, which is named as the “flow effect” of emotional contagion. However, when two individuals with the same levels of negative emotional displays interact with each other, the flow effect of emotional contagion is very likely not to occur. It is interesting to find that both individuals’ negative emotions increase significantly during the process of emotional contagion. The authors propose the “resonance effect” of emotional contagion to explain this phenomenon.
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Rhee, Seung-Yoon, Hyewon Park, and Jonghoon Bae. "Network Structure of Affective Communication and Shared Emotion in Teams." Behavioral Sciences 10, no. 10 (October 17, 2020): 159. http://dx.doi.org/10.3390/bs10100159.

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This paper identifies the relative effectiveness of two mechanisms of emotional contagion on shared emotion in teams: explicit mechanism (active spreading of one’s emotion) and implicit mechanism (passive mimicry of others’ emotion). Using social network analysis, this paper analyzes affective communication networks involving or excluding a focal person in the process of emotional contagion by disaggregating team emotional contagion into individual acts of sending or receiving emotion-laden responses. Through an experiment with 38 pre-existing work teams, including undergraduate or MBA project teams and teams of student club or co-op officers, we found that the explicit emotional contagion mechanism was a more stable channel for emotional contagion than the implicit emotional contagion mechanism. Active participation in affective communication, measured by outdegree centrality in affective communication networks, was positively and significantly associated with emotional contagion with other members. In contrast, a team member’s passive observation of humor, measured by ego network density, led to emotional divergence when all other members engaged in humor communication. Our study sheds light on the micro-level process of emotional contagion. The individual-level process of emotional convergence varies with the relational pattern of affective networks, and emotion contagion in teams depends on the interplay of the active expresser and the passive spectator in affective networks.
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Briefer, Elodie F. "Vocal contagion of emotions in non-human animals." Proceedings of the Royal Society B: Biological Sciences 285, no. 1873 (February 28, 2018): 20172783. http://dx.doi.org/10.1098/rspb.2017.2783.

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Communicating emotions to conspecifics (emotion expression) allows the regulation of social interactions (e.g. approach and avoidance). Moreover, when emotions are transmitted from one individual to the next, leading to state matching (emotional contagion), information transfer and coordination between group members are facilitated. Despite the high potential for vocalizations to influence the affective state of surrounding individuals, vocal contagion of emotions has been largely unexplored in non-human animals. In this paper, I review the evidence for discrimination of vocal expression of emotions, which is a necessary step for emotional contagion to occur. I then describe possible proximate mechanisms underlying vocal contagion of emotions, propose criteria to assess this phenomenon and review the existing evidence. The literature so far shows that non-human animals are able to discriminate and be affected by conspecific and also potentially heterospecific (e.g. human) vocal expression of emotions. Since humans heavily rely on vocalizations to communicate (speech), I suggest that studying vocal contagion of emotions in non-human animals can lead to a better understanding of the evolution of emotional contagion and empathy.
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Zhu, Yanchun, Wei Zhang, and Chenguang Li. "Modeling emotional contagion in the COVID-19 pandemic: a complex network approach." PeerJ Computer Science 9 (November 20, 2023): e1693. http://dx.doi.org/10.7717/peerj-cs.1693.

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During public health crises, the investigation into the modes of public emotional contagion assumes paramount theoretical importance and has significant implications for refining epidemic strategies. Prior research predominantly emphasized the antecedents and aftermath of emotions, especially those of a negative nature. The interplay between positive and negative emotions, as well as their role in the propagation of emotional contagion, remains largely unexplored. In response to this gap, an emotional contagion model was developed, built upon the foundational model and enriched from a complex network standpoint by integrating a degradation rate index. Stability analyses of this model were subsequently conducted. Drawing inspiration from topological structural features, an enhanced model was introduced, anchored in complex network principles. This enhanced model was then experimentally assessed using Watts-Strogatz’s small-world network, Barabási-Albert’s scale-free network, and Sina Weibo network frameworks. Results revealed that the rate of infection predominantly dictates the velocity of emotional contagion. The incitement rate and purification rate determine the overarching direction of emotional contagion, whereas the degradation rate modulates the waning pace of emotions during intermediate and later stages. Furthermore, the immunity rate was observed to influence the proportion of each state at equilibrium. It was discerned that a greater number of initial emotional disseminators, combined with a larger initial contagion node degree, can amplify the emotion contagion rate across the social network, thus augmenting both the peak and overall influence of the contagion.
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Dissertations / Theses on the topic "Emotional contagion"

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Isabella, Giuliana. "The influence of emotional contagion on products evaluation." reponame:Repositório Institucional do FGV, 2011. http://hdl.handle.net/10438/8195.

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Emotional Contagion is the mechanism that includes mimicking and the automatic synchronization of facial expressions, vocalizations, postures, and movements with another person and, consequently, convergence of emotions between the sender and receiver. Researches of this mechanism conducted usually in the fields of Psychology and Marketing tends to investigate face-to-face interactions. However, the question remains to what extent, if any, emotional contagion may occur with facial expressions in photos, since many purchase situations are brought on by catalogues or websites. This thesis has the goal to verify this gap and, in addition, verify whether emotional contagion is more common in females than in males as stated in previous studies. Emotions have been studied because it is intuitively apparent that emotions affect the dynamics of the interaction between a salesperson and customers (Verbeke, 1997); in other words, emotions may significantly affect consumer behavior. Therefore, this thesis also verified whether the facial expressions that transmit emotions could be associated to product evaluations. To investigate these questions, an experiment was done with 171 participants, which were exposed to either smiling (positive emotion) or neutral advertising. The differences between the individual advertisements were limited to the facial expressions of figures in the advertisements (either smiling or neutral/without smiling). One specialist and two students analyzed videotaped records of the participants’ responses, and found that participants who saw the positive stimulus mimicked the picture (smiling back) confirming the Emotional Contagion in Photos (the first hypothesis). The second hypothesis was to analyze if there is difference based in gender. The results demonstrated that there is not a significant difference between genders; female and male equally suffer Emotional Contagion. The third hypothesis was related to whether the positive emotions vs. neutral emotions acquired from the positive facial expression in the photo are associated to a positive evaluation of the product also displayed in the photo. Evidences show that the ad with a positive expression could change more positively the attitude, the sympathy, the reliability, and the intention of purpose of the participant compared to those who were exposed to the neutral condition. Therefore, the analysis concludes that the facial expressions displayed in photos produce emotional contagion and may interfere on the evaluation product. A discussion of the theoretical and practical implications and limitations for these findings are presented.
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Moore, Penny Louise. "Affect transfer : emotional contagion, social appraisal, and interpersonal history." Thesis, University of Oxford, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.669956.

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Fortes, Neto Amyr Borges. "Giving emotional contagion ability to virtual agents in Crowds." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2017. http://tede2.pucrs.br/tede2/handle/tede/7769.

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Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES
Modelos de simula??o de multid?es t?m tido um papel importante em ci?ncias da computa??o j? h? algumas d?cadas desde os trabalhos pioneiros. No in?cio, agentes simulados em multid?es comportavam-se todos da mesma maneira, e tal comportamento era controlado pelas mesmas regras em todos os agentes. Com o tempo, os modelos de simula??o evoluiram, e come?aram a agregar uma maior variedade de comportamentos nos agentes. Modelos de simula??o de multid?es que implementam diferentes comportamentos nos agentes s?o chamados modelos de Multid?es Heterog?neas, em oposi??o aos modelos de Multid?es Homog?neas precedentes. Modelos de simula??o de multid?es que buscam criar agentes com comportamentos humanos realistas exploram heterogeneidade nos comportamentos dos agentes, na tentativa de atingir tal realismo. Em geral, estudos em psicologia e comportamento humano s?o usados como conhecimento de base, e os comportamentos observados nestes estudos s?o simulados em agentes virtuais. Nesta dire??o, trabalhos recentes em simula??o de multid?es exploram caracter?sticas de personalidade e modelos de emo??es. No campo de emo??es em agentes virtuais, pesquisadores est?o tentando recriar fen?menos de cont?gio de emo??es em pequenos grupos de agentes, ou mesmo estudar o impacto de cont?gio de emo??o entre agentes virtuais e participantes humanos. Sob a cren?a de que cont?gio de emo??o em agentes virtuais possa levar a comportamentos mais realistas em multi?es, este trabalho foca em recriar modelos computacionais de cont?gio de emo??es destinados a pequenos grupos de agentes, adaptando estes modelos para um contexto de simula??o de multid?es.
Crowd simulation models have been playing an important role in computer sciences for a few decades now, since pioneer works. At the beginning, agents simulated on crowds behaved all the same way, such behaviour being controlled by the same set of rules. In time, simulation models evolved and began to incorporate greater variety of behaviours. Crowd simulation models that implement different agent behaviours are so-called Heterogeneous Crowd models, opposing to former Homogeneous Crowd models. Advances in crowd simulation models that attempt to make agents with more realistic human-like behaviours explore heterogeneity of agent behaviours in order to achieve overall simulation realism. In general, human behavioural and psychological studies are used as base of knowledge to simulate observed human behaviours within virtual agents. Toward this direction, later crowd simulation works explore personality traits and emotion models. Some other work in the field of emotional virtual agents, researchers are attempting to recreate emotion contagion phenomena in small groups of agents, and even studying emotion contagion impact between virtual agents and human participants. Under the belief that emotion contagion in virtual agents might lead to more realistic behaviours on crowds, this work is focused on recreating emotion contagion computational models designed for small groups of agents, and adapting it for crowd simulation context.
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Zollo, Fabiana. "Emotional contagion and group polarization: experimental evidence on Facebook." Thesis, IMT Alti Studi Lucca, 2016. http://e-theses.imtlucca.it/200/1/Zollo_phdthesis.pdf.

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Information, rumors, debates shape and reinforce the perception of reality and heavily impact public opinion. Indeed, the way in which individuals influence each other is one of the foundational challenges in several disciplines such as sociology, social psychology, and economics. One of the most fascinating and powerful mechanisms of social contagion is that of group polarization. The phenomenon manifests when like-minded people discuss and reinforce their shared views thus ending up in a more extreme position. The core of the research work presented in this thesis explores the phenomenon of group polarization on online social media. We focus on the Italian and US pages providing scientific and conspiracy information and we analyze a) users’ emotional dynamics and b) their response to dissenting information. We offer tight quantitative evidence about the existence of echo chambers on online social media. Users tend to promote their beliefs and to form highly polarized groups. Furthermore, dealing with untrusted opponents in online discussion results for users in a major commitment with respect to their own echo chamber.
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Lin, Shu-Fang. "Media enjoyment as a function of individual responses and emotional contagion." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1123862440.

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Thesis (Ph. D.)--Ohio State University, 2005.
Title from first page of PDF file. Document formatted into pages; contains xiii, 126 p.; also includes graphics. Includes bibliographical references (p. 119-126). Available online via OhioLINK's ETD Center
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CARRETERO, MIGUEL RAMOS. "Expression of Emotion in Virtual Crowds:Investigating Emotion Contagion and Perception of Emotional Behaviour in Crowd Simulation." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153966.

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Emotional behaviour in the context of crowd simulationis a topic that is gaining particular interest in the area of artificial intelligence. Recent efforts in this domain havelooked for the modelling of emotional emergence and socialinteraction inside a crowd of virtual agents, but further investigation is still needed in aspects such as simulation of emotional awareness and emotion contagion. Also, in relation to perception of emotions, many questions remain about perception of emotional behaviour in the context of virtual crowds.This thesis investigates the current state-of-the-art of emotional characters in virtual crowds and presents the implementation of a computational model able to generate expressive full-body motion behaviour and emotion contagion in a crowd of virtual agents. Also, as a second part of the thesis, this project presents a perceptual study in which the perception of emotional behaviour is investigated in the context of virtual crowds. The results of this thesis reveal some interesting findings in relation to the perception and modelling of virtual crowds, including some relevant effectsin relation to the influence of emotional crowd behaviourin viewers, specially when virtual crowds are not the mainfocus of a particular scene. These results aim to contribute for the further development of this interdisciplinary area of computer graphics, artificial intelligence and psychology.
Emotionellt beteende i simulerade folkmassor är ett ämne med ökande intresse, inom området för artificiell intelligens. Nya studier har tittat på modellen för social interaktion inuti en grupp av virtuella agenter, men fortsatt utredning behövs fortfarande inom aspekter så som simulation av emotionell medvetenhet och emotionell smitta. Också, när det gäller synen på känslor, kvarstår många frågor kring synen på känslomässigt beteende i samband med virtuella folkmassor. Denna studie undersöker de nuvarande "state-of-theart" emotionella egenskaperna i virtuella folksamlingar och presenterar implementationen av en datormodell som kan generera smittsamma känslor i en grupp av virtuella agenter. Också, när det gäller synen på känslor, kvarstår många frågor kring synen på känslomässigt beteende i samband med virtuella folksamlingar. Som en andra del av denna avhandlingen presenteras, i detta projekt, en perceptuell studie där uppfattningen av emotionella beteenden undersöks i samband med virtuella folksamlingar.
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Marx, Anton [Verfasser], and Anne [Akademischer Betreuer] Frenzel. "Advancing research on emotional contagion / Anton Marx ; Betreuer: Anne Frenzel." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2020. http://d-nb.info/1237221560/34.

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Geretti, Riccardo, and Arne Mahnken. "The Emotional Side of Innovation : The Role of Leader’s Emotional Intelligence in influencing Innovation Implementation." Thesis, Linnéuniversitetet, Institutionen för organisation och entreprenörskap (OE), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-74650.

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Today’s organizations struggle to remain competitive within the contemporary turbulent business environment and are therefore demanded to develop and implement new working processes. Organizations, although striving for innovation, frequently fail to fully benefit from them due to implementation failures. An often-disregarded issue is the entanglement of emotions during this phase. Thus, this thesis aims to investigate how innovation implementation is related to emotions, addressing it towards the team’s working climate and leader’s emotional intelligence. For this purpose, we employ a conceptual research approach to build an integrated conceptual model that, by proposing hypotheses and propositions, may serve as a starting point for future empirical studies. With this model, we suggest that leaders with higher levels of emotional intelligence, by the mindful management of emotions, can consciously influence the emotional contagion process and therefore affect the team climate. By establishing a climate for innovation characterized by a team vision, participative safety, task orientation and support for innovation, emotionally intelligent leaders can thus positively influence innovation implementation. The thesis does thereby contribute to an understanding of the factors that affect innovation implementation within teams.
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MacLean, Evan L., Rachna B. Reddy, Christopher Krupenye, and Brian Hare. "No evidence for contagious yawning in lemurs." SPRINGER HEIDELBERG, 2016. http://hdl.handle.net/10150/621015.

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Among some haplorhine primates, including humans, relaxed yawns spread contagiously. Such contagious yawning has been linked to social bonds and empathy in some species. However, no studies have investigated contagious yawning in strepsirhines. We conducted an experimental study of contagious yawning in strepsirhines, testing ring-tailed and ruffed lemurs (n = 24) in a paradigm similar to one that has induced contagious yawning in haplorhines. First, in a control experiment, we investigated whether lemurs responded to projected video content in general (experiment 1). We showed them two videos to which we expected differential responses: one featured a terrestrial predator and the other a caretaker holding food. Next, to test for yawn contagion, we showed individual lemurs life-size video projections of groupmates and conspecific strangers yawning, and control footage of the same individuals at rest (experiment 2). Then, to examine whether a group context might enhance or allow for contagion, we exposed subjects to the same videos in a group setting (experiment 3). Lemurs produced alarm vocalizations and moved upward while viewing the predator, but not the caretaker, demonstrating that they do perceive video content meaningfully. However, lemurs did not yawn in response to yawning stimuli when tested alone, or with their groupmates. This study provides preliminary evidence that lemurs do not respond to yawning stimuli similarly to haplorhines, and suggests that this behavior may have evolved or become more exaggerated in haplorhines after the two major primate lineages split.
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Tarr, Emily K. "Power and Emotional Contagion: The Role of Attention, Relational Identification, and Trust." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469021976.

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Books on the topic "Emotional contagion"

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Hatfield, Elaine. Emotional contagion. Cambridge [England]: Cambridge University Press, 1994.

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Lundqvist, Lars-Olov. Emotional contagion to facial expressions: A social psychophysiological examination. Uppsala: Faculty of Social Sciences, Uppsala University, 1993.

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ʻAbbūd, Muná Aḥmad. الميمياء ، نظرية تطورية في تفسير الثقافة. Bayrūt: Bīsān lil-Nashr wa-al-Tawzīʻ wa-al-Iʻlām, 2008.

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Delaurenti, Béatrice. La contagion des émotions: Compassio, une énigme médiévale. Paris: Classiques Garnier, 2016.

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Wallon, Philippe. La relation thérapeutique et le développement de l'enfant: Émotions, interactions et contagion affective. Toulouse: Privat, 1991.

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Podell, Ronald M. Contagious emotions: Staying well when your loved one is depressed. New York: Pocket Books, 1992.

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Cacioppo, John T., Elaine Hatfield, and Richard L. Rapson. Emotional Contagion. Cambridge University Press, 2012.

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Charland, Louis C. Contagion, Identity, Misinformation. Edited by John Z. Sadler, K. W. M. Fulford, and Werdie (C W. ). van Staden. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780198732372.013.15.

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The evolution of the internet and associated social media pose novel challenges for psychiatric ethics. Issues surrounding emotional contagion, personal identity, and misinformation figure importantly among these new challenges, with important consequences for consumers of mental health services, as well as psychiatrists and other mental health professionals. The evolution of the internet and associated social media pose novel challenges for psychiatric ethics. Issues surrounding emotional contagion, personal identity, and misinformation figure importantly among these new challenges, with important consequences for consumers of mental health services, as well as psychiatrists and other mental health professionals.
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Prinz, Konstantin. Smiling Chatbot: Investigating Emotional Contagion in Human-To-Chatbot Service Interactions. Springer Fachmedien Wiesbaden GmbH, 2023.

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Lindekens, Sacha E. Behavioral outcomes associated with emotional contagion: A study of restaurant tipping behavior. 2001.

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Book chapters on the topic "Emotional contagion"

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Palagi, Elisabetta, and Ivan Norscia. "Emotional Contagion." In Encyclopedia of Animal Cognition and Behavior, 2285–90. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_1866.

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Palagi, Elisabetta, and Ivan Norscia. "Emotional Contagion." In Encyclopedia of Animal Cognition and Behavior, 1–6. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47829-6_1866-1.

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Wen, Liu. "Emotional Contagion." In The ECPH Encyclopedia of Psychology, 1–2. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6000-2_189-1.

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Frankl, Thomas. "Emotional contagion." In Subliminal Leadership, 108–23. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003450634-10.

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Yin, Yanjun, Weiqing Tang, and Weiqing Li. "Modeling Group Emotion Based on Emotional Contagion." In Intelligent Information Processing VI, 240–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32891-6_31.

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Belli, Simone. "Between the collectivity of emotions and emotional contagion." In Critical Approaches to the Psychology of Emotion, 52–65. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003247999-5.

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Bakir, Vian, and Andrew McStay. "Core Incubators of False Information Online." In Optimising Emotions, Incubating Falsehoods, 29–52. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13551-4_2.

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AbstractFalse information is incubated across complex, interconnected communication and technological environments, imbricating individuals and society. This chapter introduces two key concepts. The first is the economics of emotion: namely, the optimisation of datafied emotional content for financial gain. The second concept is the politics of emotion: namely, the optimisation of datafied emotional content for political gain. Optimising emotions entails understanding people in terms of demography, interests and disposition; creation of content (by machines or by people) optimised to resonate with profiled individuals and groups; strategic ambition to elicit emotion to cause contagion; and recording of this datafied emotion expression, to feed into the next wave of info-contagion. The chapter presents the economics of emotion as the core incubator of false information online, as this stems from the business model of globally dominant digital platforms while also enabling the business model of digital influence mercenaries. However, the politics of emotion readily exploits the tools at its disposal.
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Benedicenti, Luigi. "Emotional Contagion in Open Software Collaborations." In IFIP Advances in Information and Communication Technology, 47–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47240-5_5.

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Pereira, Gonçalo, Joana Dimas, Rui Prada, Pedro A. Santos, and Ana Paiva. "A Game Prototype with Emotional Contagion." In Affective Computing and Intelligent Interaction, 315–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24571-8_39.

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Pereira, Gonçalo, Joana Dimas, Rui Prada, Pedro A. Santos, and Ana Paiva. "A Generic Emotional Contagion Computational Model." In Affective Computing and Intelligent Interaction, 256–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24600-5_29.

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Conference papers on the topic "Emotional contagion"

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Joshi, Prachi, Hirak Banerjee, Avdhoot V Muli, Aurobinda Routray, and Priyadarshi Patniak. "Study of Emotional contagion through Thermal Imaging: A pilot study using noninvasive measures in young adults." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004755.

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Emotional contagion, the process of unconsciously mirroring others’ emotions [6], occurs through various channels including facial expressions, vocal tone, and body language, influencing social interactions and responses to cultural stimuli like music and movies [3], [4], [1]. Facial expressions, analyzed using the Facial Action Coding System (FACS), provide insights into emotional transmission [2]. Thermal imaging, a technique for measuring facial temperature changes, offers a noninvasive method to study emotional responses [5]. However, the facial thermal response to emotional contagion remains understudied. This study aims to investigate how emotional contagion affects facial blood flow among highly emotionally contagious individuals, identified using noninvasive measures. Thermal imaging will capture temperature changes across ten designated facial regions of interest (ROIs), shed-ding light on facial muscle activation. By interpreting temperature variations in these ROIs, researchers seek to understand the physiological processes underlying emotional contagion. Previous studies have shown inconsistent findings regarding facial temperature changes during emotions like fear and joy, highlighting the need for further investigation. This research aims to clarify these discrepancies and advance our understanding of facial thermal responses to emotional contagion, contributing to the broader field of emotion research and potentially informing therapeutic interventions and communication strategies.Initially, Eighteen participants participated in the study. Two groups of standardized emotionally contagious video stimuli (Happy, Fear) were used to induce emotional contagion.The videos started with a one-minute relaxing clip to help participants achieve a neutral emotional state before watching the emotional contagion clips. Following the two-minute emotional contagion video, a blank screen was displayed for one minute to observe the aftereffects of the emotional contagion on participants. Facial temperature was recorded from Fluke Ti 400, and facial expressions were recorded from the webcam. Participants were asked to fill out an emotion-intensity feedback form to rate the experienced emotion and its intensity during video stimuli. Eight participants’ data was removed from further analysis because of inconsistencies. Out of the remaining ten, we further shortlisted five highly emotionally contagious participants with the help of the emotional contagion scale. Ninety baseline and arousal thermal images (10 seconds each) were identified and analyzed using FACS. Ten important regions of interest(ROIs) were selected for facial thermal variations. The interpretation of temperature patterns on selected ROIs produces a physiological time series signal, reflecting changes in blood flow associated with emotional responses. As previously discussed, blood flow radiates across the blood vessels when an emotion happens, which is why a gradual shift in the baseline occurs when an emotion takes place. To assess significant differences in facial thermal temperatures from baseline to emotional contagion, the Mann-Whitney U test and average temperature differences were used. During both emotions (fear and joy), the temperature of the nose decreased on the faces of participants. However, during fear, the temperature dropped in the forehead, left eye corner, and right cheek, while during joy, it increased in the left eye upper region. Additionally, while in fear, the left eye upper, right eye upper, and nose exhibited decreased temperatures, whereas during joy, the forehead, left and right eye corners and nose showed reduced temperatures. Mann Whitney U test showed significant emotional arousal in all the ROIs. Only the right eye corner and left cheek in two participants during fear and the right eye corner during joy in one participant was showing insignificant differences.[1] Amy Coplan. Catching characters emotions: Emotional contagion responses to narrative fiction film. Film Studies, 8(1):26–38, 2006.[2] Paul Ekman. Facial expression and emotion. American psychologist, 48(4):384,1993[3] [3]Carolina Herrando and Efthymios Constantinides. Emotional contagion: a brief overview and future directions. Frontiers in psychology, 12:2881, 2021[4]Giuliana Isabella and Hamilton C. Carvalho.Chapter 4 - emotional contagion and socialization: Reflection on virtual interaction. In Sharon Y. Tettegah and Dorothy L. Espelage, editors, Emotions, Technology, and Behaviors, Emotions and Technology, pages 63–82. Academic Press, San Diego, 2016 [5]Sophie Jarlier, Didier Grandjean, Sylvain Delplanque, Karim N’diaye, Isabelle Cayeux, Maria Ines Velazco, David Sander, Patrik Vuilleumier, and Klaus R. Scherer. Thermal analysis of facial muscles contractions. IEEE Transactions on Affective Computing, 2:2–9, 2011.Eliska Prochazkova and Mariska [6]E. Kret. Connecting minds and sharing emotions through mimicry,Neuroscience Biobehavioral Reviews2017
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Liu, Zhao, Huan Zhang, Taide Tan, Changxiong Qin, and Jing Fan. "A Cellular Automaton Model and its Application on Emotional Infections." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-36136.

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Emotional contagion has been a focus problem in the current fields of psychology and organizational behavior. Based on the theoretical analysis of the emotional contagion mechanisms and probabilistic theory, a cellular automaton (CA) model has been proposed to simulate the process of emotional contagion. And with the help of this CA model, we study the gross features of employees’ positive emotions in the evolution of emotional contagion and explore the effects of employees’ ability to transport emotion susceptibility and intimacy on the reaction process. The results indicate that employees’ ability to transport positive emotion susceptibility and intimacy are positive related to the emotional contagion between employees.
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Dhakad, Rashmi, and Luigi Benedicenti. "Analyzing Emotional Contagion in Commit Messages of Open-Source Software Repositories." In 4th International Conference on Natural Language Processing and Machine Learning. Academy and Industry Research Collaboration Center (AIRCC), 2023. http://dx.doi.org/10.5121/csit.2023.130811.

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For more than a decade scientist have focused on the emotions of software developers in order to understand emotion's impact on their productivity, creativity, and quality of work. In modern time, there is a sharp rise in open-source software collaborations and software development models that are globally distributed. A crucial aspect of these collaborations is the affect of emotional contagion. Emotional contagion is a phenomenon of transfer of one's affective state to another. In this research study, we follow through previously established research and build on it how emotional contagion happens in large opensource software development. We further establish how emotional contagion happens during different time and how it affects the overall development process.
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Tan, Taide, and Zhao Liu. "Stochastic Modeling on the Emotional Contagion." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-36135.

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The effects of emotional contagion between leader and followers have been proven of great importance, especially on the outcomes and the working efficiency. The mechanisms of the multi level emotional infections have been analyzed. The stochastic modeling methods on emotional contagion have been reviewed. The advantages and disadvantages have been compared between these methods. A novel stochastic model based on cellular automaton (CA) has been presented. The initial results have been shown and the simulation demonstrated the CA model is one of the ideal tools for the estimation of emotional contagion and to evaluate the influence of positive and negative emotions from the leader group.
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Bispo, Joao, and Ana Paiva. "A model for emotional contagion based on the emotional contagion scale." In 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops (ACII 2009). IEEE, 2009. http://dx.doi.org/10.1109/acii.2009.5349396.

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Dhakad, Rashmi, and Luigi Benedicenti. "Detecting Emotional Contagion in OSS Projects." In The 7th World Congress on Electrical Engineering and Computer Systems and Science. Avestia Publishing, 2021. http://dx.doi.org/10.11159/cist21.301.

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Marx, Anton. "Susceptibility to Emotional Contagion Relates to Teachers' Emotions and Burnout." In 2019 AERA Annual Meeting. Washington DC: AERA, 2019. http://dx.doi.org/10.3102/1439777.

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Shi, Yepeng, Guijuan Zhang, Dianjie Lu, Lei Lv, and Hong Liu. "Adaptive Intervention for Crowd Negative Emotional Contagion." In 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2021. http://dx.doi.org/10.1109/cscwd49262.2021.9437630.

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Li, Guodong, Lei Wang, and Minzhong Wu. "Crowd Behavior Intervention Based on Emotional Contagion." In CSAI 2022: 2022 6th International Conference on Computer Science and Artificial Intelligence. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3577530.3577531.

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Benedicenti, Luigi. "Detecting Emotional Contagion in Collaborative Software Development." In The 6th World Congress on Electrical Engineering and Computer Systems and Science. Avestia Publishing, 2020. http://dx.doi.org/10.11159/eee20.121.

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