Targeted help for spoken dialogue systems: intelligent feedback improves naive users' performance
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Shaping user input in speech graffiti: a first pass
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Lexical and syntactic priming and their impact in deployed spoken dialog systems
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Predicting concept types in user corrections in dialog
SRSL '09 Proceedings of the 2nd Workshop on Semantic Representation of Spoken Language
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In this work we examine user adaptation to a dialog system's choice of realization of task-related concepts. We analyze forms of the time concept in the Let's Go! spoken dialog system. We find that users adapt to the system's choice of time form. We also find that user adaptation is affected by perceived system adaptation. This means that dialog systems can guide users' word choice and can adapt their own recognition models to gain improved ASR accuracy.