Paper: The Impact of Interpretation Problems on Tutorial Dialogue

ACL ID P10-2009
Title The Impact of Interpretation Problems on Tutorial Dialogue
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2010
Authors

Supporting natural language input may improve learning in intelligent tutoring systems. However, interpretation errors are unavoidable and require an effective recovery policy. We describe an evaluation of an error recovery policy in the BEE- TLE II tutorial dialogue system and dis- cuss how different types of interpretation problems affect learning gain and user sat- isfaction. In particular, the problems aris- ing from student use of non-standard ter- minology appear to have negative conse- quences. We argue that existing strategies for dealing with terminology problems are insufficient and that improving such strate- gies is important in future ITS research.