Concept Form Adaptation in Human-Computer Dialog
Svetlana Stoyanchev and Amanda Stent
SIGDIAL Workshop on Discourse and Dialogue (SIGDIAL 2009)
Queen Mary University of London, September 11-12, 2009
In this work we examine user adaptation to a dialog system’s choice of realization of task-related concepts. We analyze the form of the time concept in the Let’s Go! spoken dialog system. We find that users adapt to the system’s 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.