Group Interaction

Group interaction research investigates how individuals' behaviors and opinions are shaped by their interactions within groups, encompassing both human-human and human-robot dynamics. Current research focuses on understanding the influence of group size and composition on outcomes like consensus formation, bias amplification, and polarization, employing models such as hypergraph neural networks and transformer-based architectures to analyze complex relational data. These studies are significant for advancing our understanding of social dynamics in various contexts, from improving human-robot collaboration to mitigating the spread of misinformation and predicting collective behavior in diverse settings.