A Multi-agent Model for Emotion Contagion Spirals Integrated within a Supporting Ambient Agent Model

  • Tibor Bosse
  • Rob Duell
  • Zulfiqar A. Memon
  • Jan Treur
  • C. Natalie van der Wal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5925)


To avoid the occurrence of spirals of negative emotion in their teams, team leaders may benefit from intelligent agent systems that analyze the emotional dynamics of the team members. As a first step in developing such agents, this paper uses an agent-based approach to formalize and simulate emotion contagion spirals within groups. The computational multi-agent model is integrated within an intelligent ambient agent to monitor and predict group emotion levels over time and propose group support actions based on that.


multi-agent model emotion contagion spirals ambient agent model 


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  1. 1.
    Barsade, S.G.: The ripple effect: Emotional contagion and its influence on group behavior. Administrative Science Quarterly 47(4), 644–675 (2002)CrossRefGoogle Scholar
  2. 2.
    Barsade, S.G., Gibson, D.E.: Group Emotion: a View from Top and Bottom. In: Gruenfeld, D., Mannix, E., Neale, M. (eds.) Research on managing groups and teams, pp. 81–102. JAI Press, Stamford (1998)Google Scholar
  3. 3.
    Bosse, T., Duell, R., Memon, Z.A., Treur, J., van der Wal, C.N.: A Multi-agent Model for Mutual Absorption of Emotions. In: Otamendi, J., Bargiela, A., Montes, J.L., Pedrera, L.M.D. (eds.) Proceedings of the 23rd European Conference on Modelling and Simulation, ECMS 2009, pp. 212–218 (2009)Google Scholar
  4. 4.
    Bosse, T., Hoogendoorn, M., Klein, M., Treur, J.: A Generic Agent Architecture for Human-Aware Ambient Computing. In: Mangina, E., Carbo, J., Molina, J.M. (eds.) Agent-Based Ubiquitous Computing. Series on Ambient and Pervasive Intelligence, vol. 1, pp. 35–62. World Scientific Publishers/Atlantis Press (2009); Shorter version in: Mühlhäuser, M., Ferscha, A., Aitenbichler, E. (eds.): ConstructingAmbient Intelligence: AmI 2007 Workshops Proceedings. Communications in Computer and Information Science (CCIS), vol. 11, pp. 93–103. Springer, Heidelberg (2008) Google Scholar
  5. 5.
    Bosse, T., Jonker, C.M., van der Meij, L., Sharpanskykh, A., Treur, J.: Specification and Verification of Dynamics in Agent Models. Intern. Journal of Cooperative Information Systems 18, 167–193 (2009)CrossRefGoogle Scholar
  6. 6.
    Duell, R., Memon, Z.A., Treur, J., van der Wal, C.N.: An Ambient Agent Model for Group Emotion Support. In: Cohn, J., Nijholt, A., Pantic, M. (eds.) Proceedings of the Third International Conference on Affective Computing and Intelligent Interaction, ACII 2009, pp. 550–557. IEEE Computer Society Press, Los Alamitos (2009)Google Scholar
  7. 7.
    Elliott, C.: The Affective Reasoner: A Process Model of Emotions in a Multi-Agent System. PhD Dissertation, Northwestern University. Technical Report No.32 (1992)Google Scholar
  8. 8.
    Frederickson, B.L., Branigan, C.: Positive Emotions broaden the scope of attention and thought-action repertoires. Cognition and Emotion 19(3), 313–332 (2005)CrossRefGoogle Scholar
  9. 9.
    Frederickson, B.L., Joiner, T.: Positive emotions trigger upward spirals toward emotional well-being. Psychological Science 13(2), 172–175 (2002)CrossRefGoogle Scholar
  10. 10.
    Frederickson, B.L.: The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist 56, 218–226 (2001)CrossRefGoogle Scholar
  11. 11.
    Goldman, A.I., Sripada, C.S.: Simulationist models of face-based emotion recognition. Cognition 94, 193–213 (2005)CrossRefGoogle Scholar
  12. 12.
    Hareli, S., Rafaeli, A.: Emotion cycles: On the social influence of emotion in organizations. Research in Organizational Behavior 28, 35–59 (2008)CrossRefGoogle Scholar
  13. 13.
    Hatfield, E., Cacioppo, J.T., Rapson, R.L.: Emotional contagion. Cambridge University Press, Cambridge (1994)Google Scholar
  14. 14.
    Hedström, P., Sandell, R., Stern, C.: Mesolevel Networks and the Diffusion of Social Movements: The Case of the Swedish Social Democratic Party. American J. of Sociology 106(1), 145–172 (2000)CrossRefGoogle Scholar
  15. 15.
    Lazarus, R.S.: Emotion and adaptation. Oxford University Press, New York (1991)Google Scholar
  16. 16.
    LeBon, G.: The Crowd. A Study of the Popular Mind. Unwin, London (1897)Google Scholar
  17. 17.
    Marsella, S., Gratch, J.: EMA: A process model of appraisal dynamics. Journal of Cognitive Systems Research 10(1), 70–90 (2009)CrossRefGoogle Scholar
  18. 18.
    Pan, X., Han, C., Dauber, K., Law, K.: Human and social behaviour in computational modeling and analysis of egress. Automation in Construction 15(4), 448–461 (2006)CrossRefGoogle Scholar
  19. 19.
    Rogers, E.: Diffusion of Innovations. Free Press, New York (1983)Google Scholar
  20. 20.
    Schoenewolf, G.: Emotional Contagion: Behavioral induction in individuals and groups. Modern Psycho-analysis 15, 49–61 (1990)Google Scholar
  21. 21.
    Silverman, B.G.: More Realistic Human Behavior Models for Agents in Virtual Worlds: Emotion, Stress, and Value Ontologies. T.R., Univ. of Penn./ACASA (2001) Google Scholar
  22. 22.
    Totterdell, P., Kellet, S., Teuchmann, K., Briner, R.B.: Evidence of mood linkage in work groups. Journal of Personality and Social Psychology 74, 1504–1515 (1998)CrossRefGoogle Scholar
  23. 23.

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© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Tibor Bosse
    • 1
  • Rob Duell
    • 2
  • Zulfiqar A. Memon
    • 1
    • 3
  • Jan Treur
    • 1
  • C. Natalie van der Wal
    • 1
    • 2
  1. 1.Department of Artificial IntelligenceVrije Universiteit AmsterdamAmsterdamThe Netherlands
  2. 2.Force Vision LabAmsterdamThe Netherlands
  3. 3.Sukkur Institute of Business Administration (Sukkur IBA)SindhPakistan

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