Using explicit requirements and metrics for interface agent user model correction
Scott M. Brown, Eugene Santos, Sheila B. Banks, Mark E. Oxley · 1998
The complexity of current computer systems and software warrants research into methods to decrease the cognitive load on users. Determining how to get the right information into the right form with the right tool at the right time has become a monumental task --- one necessitating intelligent interfaces agents with the ability to predict the users' needs or intent. An accurate user model is considered necessary for effective prediction of user intent. Methods for maintaining accurate user models is the main thrust of this paper. We describe an approach for dynamically correcting an interface agent's user model based on utility-theory. We explicitly take into account an agent's requirements and metrics for measuring the agent's effectiveness of meeting those requirements. Using these requirements and metrics, we develop 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...