Robot's individual emotion generation model and action coloring according to the robot's personality

Robot's individual emotion generation model and action coloring according to the robot's personality
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机器人个体情感生成模型及根据机器人个性的动作着色

DOI:
10.1109/roman.2009.5326128
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发表时间:
2009
期刊:
RO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication
影响因子:
--
通讯作者:
D. Kwon
D. Kwon
中科院分区:
--
文献类型:
--
作者:
Jong;Hyoung;Young;D. Kwon

文献摘要

被引文献

相似文献

为了实现人与机器人之间可信的交互,合成合理和自然的情感是很重要的。此外,提高模型中参数值的可调性对于机器人的设计者来说是必不可少的。在本文中,我们开发了一个混合的情感生成架构,并定义了情感生成模型的广义上下文输入,以方便机器人设计师使用。我们还开发了基于大五人格因素的人格模型,以生成各种情绪和行为着色。人格模型不仅影响产生的情感的强度,情绪状态,和情感衰减,而且还影响机器人的动作选择。因此,对于每种情况,机器人都可以显示不同的情绪状态和修改的动作,我们称之为动作着色。开发的情感生成系统集成到一个机器人,响应用户的呼叫,并管理人类的日程安排。
In order to achieve a believable interaction between humans and robots, synthesizing the reasonable and natural emotion is important. Furthermore, improving the adjustability of parameters' values in the model is essential for the designer of a robot. In this paper we developed a hybrid emotion generation architecture and defined the generalized context inputs of emotion generation model for convenient use by a robot designer. We also developed the personality model based on the Big-Five personality factors to generate the various emotions and action colorings. The personality model affected not only the intensity of the generated emotion, mood state, and emotion decay, but also the action selection of the robot. So, for each circumstance, the robot can show the distinct emotional state and modified actions, which we call action colorings. The developed emotion generation system is integrated into a robot which responds to the user's calling, and manages the schedule of the human.