Relating initial turns of human-robot dialogues to discourse

Maxim Makatchev, Min Kyung Lee, and Reid Simmons
International Conference on Human-Robot Interaction, March, 2009.


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Abstract
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
Human-robot interaction, dialogue

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center and Quality of Life Technology Center
Associated Lab(s) / Group(s): Reliable Autonomous Systems Lab and Human-Robot Interaction Group
Associated Project(s): Roboceptionist

Text Reference
Maxim Makatchev, Min Kyung Lee, and Reid Simmons, "Relating initial turns of human-robot dialogues to discourse," International Conference on Human-Robot Interaction, March, 2009.

BibTeX Reference
@inproceedings{Makatchev_2009_6283,
   author = "Maxim Makatchev and Min Kyung Lee and Reid Simmons",
   title = "Relating initial turns of human-robot dialogues to discourse",
   booktitle = "International Conference on Human-Robot Interaction",
   publisher = "ACM/IEEE",
   month = "March",
   year = "2009",
}