@conference {942,
	title = {Detecting the Status of a Predictive Incremental Speech Understanding Model for Real-Time Decision-Making in a Spoken Dialogue System},
	booktitle = {InterSpeech 2011},
	year = {2011},
	month = {8/30/2011},
	address = {Florence, Italy},
	abstract = {We explore the potential for a responsive spoken dialogue system to use the real-time status of an incremental speech understanding model to guide its incremental decision-making about how to respond to a user utterance that is still in progress. Spoken dialogue systems have a range of potentially useful real-time response options as a user is speaking, such as providing acknowledgments or backchannels, interrupting the user to ask a clarification question or to initiate the system{\textquoteright}s response, or even completing the user{\textquoteright}s utterance at appropriate moments. However, implementing such incremental response capabilities seems to require that a system be able to assess its own level of understanding incrementally, so that an appropriate response can be selected at each moment. In this paper, we use a data-driven classification approach to explore the trade-offs that a virtual human dialogue system faces in reliably identifying how its understanding is progressing during a user utterance.},
	url = {http://www.pdfdownload.org/pdf2html/pdf2html.php?url=http\%3A\%2F\%2Fpeople.ict.usc.edu\%2F~devault\%2Fpublications\%2Fdevault-et-al-interspeech-2011.pdf\&images=yes},
	author = {David DeVault and Kenji Sagae and David R. Traum}
}
