An emotion-generation model for a robot that reacts after considering the dialogist

Shosuke Kinoshita, H. Takenouchi, Masataka Tokumaru
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引用次数: 7

Abstract

This paper proposes an emotion-generation model for a robot that distinguishes different aspects of a human's personality. The robot reacts differently, depending on the human communication it receives. In this cutting-edge research area, several studies have demonstrated robots that generate reactions to humans by judging their interaction. However, these reactions do not change when the communicating human displays a variety of personality traits. This is because the robot only responds to the input without taking the human's personality into account. To solve this issue, we propose an emotion-generation model for robots that produces different reactions depending on the human communication it receives. In this model, the robot has a degree of intimacy that judges the human's personality. The degree of intimacy increases when the human satisfies the robot's desire and decreases when he/she does not. The simulation results confirmed that the robot shows a friendly reaction to a human with a high degree of intimacy and an unfriendly reaction to one with a low degree of intimacy.
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一个机器人在考虑对话者之后做出反应的情感生成模型
本文提出了一种机器人情感生成模型,该模型可以区分人类个性的不同方面。机器人会根据它接收到的人类信息做出不同的反应。在这个前沿研究领域,有几项研究已经证明,机器人通过判断他们的互动来对人类产生反应。然而,当交流的人表现出各种各样的个性特征时,这些反应并没有改变。这是因为机器人只对输入做出反应,而不考虑人的个性。为了解决这个问题,我们提出了一个机器人的情感生成模型,根据它接收到的人类交流产生不同的反应。在这个模型中,机器人具有判断人类个性的亲密程度。当人类满足机器人的欲望时,亲密度会增加,而当人类不满足机器人的欲望时,亲密度会减少。仿真结果证实,机器人对亲密度高的人表现出友好的反应,对亲密度低的人表现出不友好的反应。
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