Abstract
The necessity for the individual and the individual’s tying in real space increases while the age of piece progresses. The robot is requested in that and it is requested what role be able to be played. Here, we pursue the research on the robot design to expand and to promote the group conversation. It proposes the technique to advance the conversation of couple 1 of the first meeting smoothly as the first stage. Especially, it is confirmed that nonverbal interactions are more important than language interactions by a lot of researches so that the individual and the individual may tie. We newly define the communications activity based on embodied entrainment, and propose the method to control the behavior of the robot dynamically according to the state of communications. The active control method uses interaction timing learning which depends on nonverbal communication channels. Our mechanism selects an appropriate embodied robotic behavior by changing the communication strategy based on the state transition of an introduction scene, and increases the communication activity measured by sensing data. The action timing is learned and controlled by a decision-tree. As the result, the real agent robot could control communication situations similarly to a human. We became “Yes” by the evaluation value of 82% for the question that communications had risen as a result of doing the questionnaire survey to 20 university students. Moreover, familiarity became a first meeting introduction robot with “Yes” for the question about whether being possible to have it by the evaluation value of 85%. Therefore, the effectiveness of this proposal technique was verified. Finally, the possibility that the circle of communications can be expanded to N person’s group is discussed based on this result.
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Sano, M., Miyawaki, K., Sasama, R., Yamaguchi, T., Yamada, K. (2009). A Robotic Introducer Agent Based on Adaptive Embodied Entrainment Control. In: Jacko, J.A. (eds) Human-Computer Interaction. Novel Interaction Methods and Techniques. HCI 2009. Lecture Notes in Computer Science, vol 5611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02577-8_40
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DOI: https://doi.org/10.1007/978-3-642-02577-8_40
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