How do people talk with a robot?: an analysis of human-robot dialogues in the real world

Min Kyung Lee and Maxim Makatchev
Proceedings of the 27th international conference extended abstracts on Human factors in computing systems (CHI'2009), April, 2009.


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Abstract
This paper reports the preliminary results of a human-robot dialogue analysis in the real world with the goal of understanding users' interaction patterns. We analyzed the dialogue log data of Roboceptionist, a robotic receptionist located in a high-traffic area in an academic building. The results show that (i) the occupation and background (persona) of the robot help people establish common ground with the robot, and (ii) there is great variability in the extent that users follow social norms of human-human dialogues in human-robot dialogues. Based on these results, we describe implications for designing the dialogue of a social robot.

Keywords
human-robot dialogue, human-robot interaction, speech-based interaction

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
Min Kyung Lee and Maxim Makatchev, "How do people talk with a robot?: an analysis of human-robot dialogues in the real world," Proceedings of the 27th international conference extended abstracts on Human factors in computing systems (CHI'2009), April, 2009.

BibTeX Reference
@inproceedings{Lee_2009_6375,
   author = "Min Kyung Lee and Maxim Makatchev",
   editor = "Dan R. Olsen Jr., Richard B. Arthur",
   title = "How do people talk with a robot?: an analysis of human-robot dialogues in the real world",
   booktitle = "Proceedings of the 27th international conference extended abstracts on Human factors in computing systems (CHI'2009)",
   publisher = "ACM",
   month = "April",
   year = "2009",
}