A Dynamic Bayesian Intelliegent Interface Agent

This paper presents an intelligent user interface agent architecture based on Bayesiannetworks. Using a Bayesian network not only dynamically captures and models userbehavior, but it also dynamically captures and models uncertainty in the interface'sreasoning process. We present an approach that allows our intelligent interface agent(IIA) to alter its own topology to better adapt itself to modeling a particular user. Wepresent several metrics that provide useful information concerning the...