Using explicit requirements and metrics for interface agent user model correction

The complexity of current computer systems and software vrarrants research into methods to decrease the cognitive load on users. Determining horr to get the right information into the right form vrith the right tool at the right time has bccomc a monumental task one necessitating intelligent intarfacc agents vlith the ability to predict the users’ needs and intent, An accurate user model is considered necessary for effective prediction of user intent. Methods for maintaining nccurato user models is the main thrust of this paper. We describe an approach for dynamically correcting an interface ngent’s user model based on utility theory. We explicitly take into account an agent’s requirements and metrics for mc,asuring the agent’s effectiveness of meeting those requirements, Using these requirements and metrics, me devclop a requirements utility function that determines when a user model should be corrected and how. We present a correction model based on a multi-agent bidding process and the aforementioned metrics and utility function. Finally, me discuss several critical research issues concerning the use of user models that open fertile ground for future research.