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. Categories and Subject Descriptors: H.5.2 [Information Interfaces and Presentation]: User Interfaces—natural language General Terms: Experimentation, Human Factors
Maxim Makatchev, Min Kyung Lee, Reid G. Simmons