Concept Form Adaptation in Human-Computer Dialog
نویسندگان
چکیده
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.
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