babypapa:丰富亲子关系的多重交流机器人--设计和评估 KANSEI 模型以控制亲子关系--译者注

Satoru Suzuki, Noriaki Imaoka, Takeshi Ando
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引用次数: 0

摘要

有必要创建一个以幸福为导向的社会,通过提高人们的精神满意度来改善他们的生活。在本研究中,我们通过使用名为 babypapa 的交流机器人,研究了基于人机交互的人类情绪变化。我们将 KANSEI 定义为情绪变化对机器人行为的敏感度,并建立了 KANSEI 模型。具体来说,为了明确机器人应该表现出怎样的行为才能让儿童感到亲近,我们在机器人和 3-4 岁儿童之间进行了游戏实验,以研究机器人的行为与亲近感之间的关系。实验结果表明,机器人的接触行为和非接触行为都有助于产生亲近感。我们证明了亲近感与机器人行为之间存在一定的倾向性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
babypapa: Multiple Communication Robots to Enrich Relationship Between Parents and Child–Design and Evaluation of KANSEI Model to Control Closeness—
There is a need to create a well-being oriented society to improve people’s lives by enhancing their mental satisfaction. In this study, we examined the changes in human emotions based on human–robot interaction by using a communication robot called babypapa. We defined KANSEI as the sensitivity of emotional change to the robot’s behavior and established a KANSEI model. Specifically, to clarify the behavior that the robot should exhibit to make children feel close to it, we conducted play experiments between the robot and 3–4 year-old children to investigate the relationship between the robot’s behavior and the feeling of closeness. The results of the experiment showed that contact and noncontact behaviors of the robot contributed to the feeling of closeness. We demonstrated a certain tendency of closeness and robot behavior.
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