人の感性を考慮したインタラクションロボットの行動生成--第2報ロボットの行動生成アルゴリズムについて

概要

論文の詳細を見る
In this paper, we quantitatively analyze the KANSEI of human from many other angles for the purpose of generating the motion algorithm for a robothat does not tire a human. A red ball and a blue ball are displayed on a simulation screen. A person moves the red ball with a mouse and a computer moves the blue one. By using this model, we analyze the relationship between the boredom and the information transfer efficiency. Three reaction patterns of the blue ball are prepared, and the information transfer efficiencies are 1.0, 0.5 and 0.0. Next we discuss a motion algorithm for the robot based on the theory of socion proposed in the field of the sociopsychology. The motion is generated from a logistic map. Finally, considering the application toa real robot, the difference of the impression between the simulation and the actual r obot is proved by an omni-directional robot.
日本感性工学会の論文