User profiling in multiplayer serious games

Abstract

Designing multiplayer serious games that support collaborative learning has become a promising area of education techniques. Player should play a game with a proper level of ability and skills. Current approaches to adapt game make it possible for different elements to adjust to the player. However most of these approaches can adapt one single player; so we need to find ways to aggregate all users input and history into some potential information that can be used for the adaptation mechanism, we believe that user's profiling respond to these need by providing a detail analysis of player's performance. The goal of our research is to provide a novel approach for game adaptation correlated to a user's profile that guided by two concerns: player skill levels and social interaction between players. To achieve this, we present a conceptual user's profile.