Varieties of user misconceptions: detection and correction
Bonnie Webber, Eric Mays · International Joint Conference on Artificial Intelligence · 1983
This paper discusses some of our research into detecting and reconciling critical differences between a user's view of the world and the system's. We feel there is benefit to be gained by separating misconceptions into two main classes: misconce.pt ions about what is the case and misconceptions about what can be the case. We review some initial work in both areas and discuss our work in progress.