Varieties of user misconceptions: detection and correction

Authors:
Bonnie Lynn Webber;Eric Mays
Affiliations:
Department of Computer & Information Science, University of Pennsylvania, Philadelphia, PA;Department of Computer & Information Science, University of Pennsylvania, Philadelphia, PA
Venue:
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Year:
1983

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Abstract

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.