Human-Robot Interaction Based on Frankl Psychology for a Partner Robot

Recently, elderly people who live alone in a room is increased. But, it is hoped that the elderly people keep good health. To keep good health for elderly people, a human should act autonomously. Frankl's psychology discusses the importance of external value that is picked up by external stimuli. Therefore, it is expected that a person would act autonomously if a person find the meaning and value of human life from external stimuli by using a partner robot. In this research, we propose the robot interaction method based on frankl's psychology. And we propose the external value inference model that estimates a situation from environmental change. The proposed model consists of spiking-neural networks and a neural network that have a role of short-term learning and long-term learning, respectively. Through human-robot interaction experiment, we verify that a human acts autonomously by the robot interaction based on frankl's psychology.