An affective guide robot in a shopping mall
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Importance-Driven Turn-Bidding for spoken dialogue systems
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
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This paper proposes a HMM-based user's information demand estimation model for autonomous informational assistance robots to avoid providing information prematurely. The model estimates the user's implicit information demands by predicting a user's next information request using user's head movements. Through a word-association quiz-dialog experiment, our model demonstrated superior prediction performance over the usual HMM-based classifier.