Adapting Information Delivery to Groups of People

When people engage with information, they are often in social groups. This applies, for example, in the case of museum visits, where people typically attend the museum and view the exhibits in small groups. This paper describes a proposed system GM, Group Modeller, which will create group models from a set of individual user models. We discuss the approaches and challenges in terms of common sub-models, collective models, group interaction models, and knowledge-based reasoning across models.