Development of an Effective Information Media Using Two Android Robots

Conversational robots have been used to convey information to people in the real world. Android robots, which have a human-like appearance, are expected to be able to convey not only objective information but also subjective information, such as a robot’s feelings. Meanwhile, as an approach to realize attractive conversation, multi-party conversation by multiple robots was the focus of this study. By collaborating among several robots, the robots provide information while maintaining the naturalness of conversation. However, the effectiveness of interaction with people has not been surveyed using this method. In this paper, to develop more efficient media to convey information, we propose a scenario-based, semi-passive conversation system using two androids. To verify its effectiveness, we conducted a subjective experiment comparing it to a system that does not include any interaction with people, and we investigated how much information the proposed system successfully conveys by using a recall test and a questionnaire about the conversation and androids. The experimental results showed that participants who engaged with the proposed system recalled more content from the conversation and felt more empathic concern for androids.

[1]  Takayuki Kanda,et al.  A semi-autonomous communication robot — A field trial at a train station , 2008, 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[2]  Yuichiro Yoshikawa,et al.  Multiple-Robot Conversational Patterns for Concealing Incoherent Responses , 2018, Int. J. Soc. Robotics.

[3]  Takayuki Kanda,et al.  Interactive Humanoid Robots for a Science Museum , 2007, IEEE Intell. Syst..

[4]  Tatsuya Kawahara,et al.  Flexible Guidance Generation Using User Model in Spoken Dialogue Systems , 2003, ACL.

[5]  Hiroshi Ishiguro,et al.  Can Androids Be Salespeople in the Real World? , 2015, CHI Extended Abstracts.

[6]  Claire E. Foster,et al.  Emotional robot to examine different play patterns and affective responses of children with and without ASD , 2016, 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[7]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[8]  Tatsuya Kawahara,et al.  Speech-Based Interactive Information Guidance System using Question-Answering Technique , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[9]  Hiroshi Ishiguro,et al.  Evaluation of formant-based lip motion generation in tele-operated humanoid robots , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[10]  Hiroshi Ishiguro,et al.  Composition and Evaluation of the Humanlike Motions of an Android , 2006, 2006 6th IEEE-RAS International Conference on Humanoid Robots.

[11]  Victor Zue,et al.  JUPlTER: a telephone-based conversational interface for weather information , 2000, IEEE Trans. Speech Audio Process..

[12]  Takayuki Kanda,et al.  Humanoid robots as a passive-social medium - a field experiment at a train station , 2007, 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[13]  Takayuki Kanda,et al.  An affective guide robot in a shopping mall , 2009, 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[14]  Kazuaki Tanaka,et al.  Emotional or Social?: How to Enhance Human-Robot Social Bonding , 2017, HAI.

[15]  Tetsuo Ono,et al.  Multi-robot cooperation for human-robot communication , 2002, Proceedings. 11th IEEE International Workshop on Robot and Human Interactive Communication.

[16]  T. Komatsu,et al.  Adaptation gap hypothesis : How differences between users ’ expected and perceived agent functions affect their subjective impression , 2010 .

[17]  Tetsuo Ono,et al.  Android as a telecommunication medium with a human-like presence , 2007, 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[18]  Takayuki Kanda,et al.  A Semi-Autonomous Communication Robot , 2009 .