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

机译:基于合作伙伴机器人的Frankl心理学的人体机器人互动

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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.
机译:最近,独自生活在一个房间里的老年人增加了。但是,希望老人保持健康。为了保持老年人身体健康,人类应该自主行动。 Frankl的心理学讨论了外部刺激拾取的外部价值的重要性。因此,预计如果一个人通过使用合作伙伴机器人发现人类生活的意义和价值,人们会自主行动。在这项研究中,我们提出了基于Frankl心理学的机器人交互方法。我们提出了估计环境变化的情况的外部价值推理模型。所提出的模型包括分别具有短期学习和长期学习的神经网络和神经网络。通过人机互动实验,我们通过基于Frankl的心理学的机器人互动来验证人类自主行为。

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