著者
Yoshihiro SEJIMA Tomio WATANABE Mitsuru JINDAI
出版者
The Japan Society of Mechanical Engineers
雑誌
Journal of Advanced Mechanical Design, Systems, and Manufacturing (ISSN:18813054)
巻号頁・発行日
vol.10, no.9, pp.JAMDSM0103, 2016 (Released:2016-11-09)
参考文献数
21
被引用文献数
2

In human interaction and communication, not only verbal messages but also nonverbal behavior such as nodding and paralanguage are rhythmically related and mutually synchronized among speakers. This synchrony of embodied rhythms unconsciously enhances a sense of unification and causes an interaction-activated communication in which nonverbal behaviors such as body movements and speech activity increase, and the embodied interaction is activated. In this paper, we propose the concept of an estimation model of interaction-activated communication based on the heat conduction equation with the characteristics of precipitous speed fluctuation and develop a model that estimates the degree of interaction-activated communication by using speech input only. Further, we evaluate the developed model in estimating the period of the interaction-activated communication in an avatar-mediated communication. The results demonstrate that the developed model is effective in estimating the interaction-activated communication.
著者
Mitsuru JINDAI Shunsuke OTA Toshiyuki YASUDA Tohru SASAKI
出版者
The Japan Society of Mechanical Engineers
雑誌
Journal of Advanced Mechanical Design, Systems, and Manufacturing (ISSN:18813054)
巻号頁・発行日
vol.16, no.1, pp.JAMDSM0016, 2022 (Released:2022-03-01)
参考文献数
13

Humans establish embodied interactions, such as bows and handshakes, when they first greet one another and display a feeling of rapport. It is believed that humans construct a relationship that is emotionally acceptable to each other by the synchronization of their embodied rhythms through their embodied interactions. Hug behaviors are expected to synchronize embodied rhythms effectively as they are an embodied interaction where whole bodies are in contact with each other. In hug behaviors between humans and robots, the same efficiency is expected. Furthermore, when a human approaches a robot, the robot should generate a hug request motion to promote embodied interactions. Therefore, in this study, a hug robot system for the generation of hug behavior with approaching humans is developed. The hug robot system that employs a hug behavior request model generates request motion of a hug when a human approaches the robot. Furthermore, a switching hug control was developed by combining the proposed hug behavior request model with the hug behavior response model. In the switching hug control, when an approaching human requests a hug, the robot generates a response motion. However, if the approaching human does not request a hug, the robot will request one to the human. Then, in hug behaviors between a human and a robot, the motion characteristics of the robot that are preferred by majority of research participants are analyzed using the developed hug robot system.