Learning mixed initiative dialog strategies by using reinforcement learning on both conversants
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Building effective question answering characters
SigDIAL '06 Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue
The Art of Videogames
Scaling POMDPs for Spoken Dialog Management
IEEE Transactions on Audio, Speech, and Language Processing
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We present a mixed initiative conversational dialogue system designed to address primarily mental health care concerns related to military deployment. It is supported by a new information-state based dialogue manager, FLoReS (Forward-Looking, Reward Seeking dialogue manager), that allows both advanced, flexible, mixed initiative interaction, and efficient policy creation by domain experts. To easily reach its target population this dialogue system is accessible as a web application.