Adapting the museum a no-intrusive user modeling approach

Technology within museums can improve human cognition by supporting the experiential mode more than the analitic one. In order to exploit this powerful concept our approach is based on empathy and “mimesis”. This work explores issues of audio-guide adaptivity based on physical navigation and information browsing. The goal is to design an augmented reality system that is able to transform the museum into an intelligent environment, which can integrate individual needs and collective behaviors. Physical movements within the museum are used to classify visitors. This dynamic classification utilizes a non-intrusive user modeling approach, wherein the museum acts as an interface. © 1999 by Springer Science+Business Media New York.