Proceedings of the Annual Meeting of the Cognitive Science Society

Advice-giving is improved by understanding and responding to user feedback. Previous models of this task treat user responses as misunderstandings or misconceptions and focus on generating altemate or corrective explanations. By and large, however, these models do not consider the possibility that the system's advice is inappropriate and may need revision during the course of an on-going dialog. This paper presents a model of the process of revising plan-oriented advice in response to user feedback. Our focus is on mechanisms for evaluating planning alternatives, for detemiining when to revise advice, and for dynamically generating explanations of these revisions.