Abstract

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, first, we examine the relationship between the complexity and the boredom. The varieties of the complexity are motion, size, color, tone and shape. Secondly, we analyze actions produced naturally in interhuman interaction using two PCs connected by a network. Thirdly, we examine the impression that the motion of the robot gives to the human by SD technique.