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Relating initial turns of human-robot dialogues to discourse

Maxim Makatchev, Min Kyung Lee, Reid Simmons

Year
2009
Citations
9

Abstract

Similarly, User models can be useful for improving dialogue management. In this paper we analyze human-robot dialogues that occur during uncontrolled interactions and estimate relations between the initial dialogue turns and patterns of discourse that are indicative of such user traits as persistence and politeness. The significant effects shown in this preliminary study suggest that initial dialogue turns may be useful in modeling a user's interaction style.

Keywords

RobotComputer scienceHuman–computer interactionHuman–robot interactionArtificial intelligence

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