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Social mediator robots facilitate human-human interactions by producingbehavior strategies that positively influence how humans interact with eachother in social settings. As robots for social mediation gain traction in thefield of human-human-robot interaction, their ability to "understand" thehumans in their environments becomes crucial. This objective requires models ofhuman understanding that consider multiple humans in an interaction as acollective entity and represent the group dynamics that exist among itsmembers. Group dynamics are defined as the influential actions, processes, andchanges that occur within and between group interactants. Since an individual'sbehavior may be deeply influenced by their interactions with other groupmembers, the social dynamics existing within a group can influence thebehaviors, attitudes, and opinions of each individual and the group as a whole.Therefore, models of group dynamics are critical for a social mediator robot tobe effective in its role. In this paper, we survey existing models of groupdynamics and categorize them into models of social dominance, affect, socialcohesion, conflict resolution, and engagement. We highlight the multimodalfeatures these models utilize, and emphasize the importance of capturing theinterpersonal aspects of a social interaction. Finally, we make a case formodels of relational affect as an approach that may be able to capture arepresentation of human-human interactions that can be useful for socialmediation.

Group Dynamics: Survey of Existing Multimodal Models and Considerations for Social Mediation