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

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.