Group modeling in a public space: methods, techniques, experiences

This paper overviews methods and techniques useful for building group-adaptive systems and presents an experience of building a system to give news adapted to different group of users in a public space. Starting from the analysis of limits of group modelling strategies and of problems to pass from a user modelling to a group modelling approach in the adaptation of system interaction, we suggest an update of the probabilistic group model to improve the interaction of groups of users with devices devoted to show news. In particular, we analyze the way to build a group model useful to improve the adaptation of a system that provides news on a video wall in a public space which is attended from a group of users with common interests.