Agent-Based Modelling of Emotion Contagion in Groups

T. Bosse, R. Duell, Z.A. Memon, J. Treur, C.N. van der Wal

Research output: Contribution to JournalArticleAcademicpeer-review


To avoid the development of negative emotion in their teams, team leaders may benefit from being aware of the emotional dynamics of the team members. To this end, the use of intelligent computer systems that analyze emotional processes within teams is a promising direction. As a first step toward the development of such systems, this paper uses an agent-based approach to formalize and simulate emotion contagion processes within groups, which may involve absorption or amplification of emotions of others. The obtained computational model is analyzed both by explorative simulation and by mathematical analysis. In addition, to illustrate the applicability of the model, it is shown how the model can be integrated within a computational ‘ambient agent model’ that monitors and predicts group emotion levels over time and proposes group support actions based on that. Based on this description, a discussion is provided of the main contribution of the model, as well as the next steps needed to incorporate it into real-world applications.
Original languageEnglish
Pages (from-to)111-136
JournalCognitive Computation
Issue number1
Publication statusPublished - 2015


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