Relating initial turns of human-robot dialogues to discourse

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.

REFERENCES

• 1: R. Gockley, A. Bruce, J. Forlizzi, M. Michalowski, A. Mundell, S. Rosenthal, B. Sellner, R. Simmons, K. Snipes, A. C. Schultz, , and J. Wang. Designing robots for long-term social interaction. In Proc. Int. Conf. on Intelligent Robots and Systems, pages 2199--2204, August 2005.
• 2: Rachel Gockley , Jodi Forlizzi , Reid Simmons, Interactions with a moody robot, Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction, March 02-03, 2006, Salt Lake City, Utah, USA [doi>10.1145/1121241.1121274]
• 3: A. Purandare and D. Litman. Content-learning correlations in spoken tutoring dialogs at word, turn and discourse levels. In Proc. Int. FLAIRS Conf., May 2008.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)
          Subjects: Natural language

General Terms:
Experimentation, Human Factors

Keywords:
dialogue, human-robot interaction