Quantitative Analysis of Impression of Robot Bodily Expression based on Laban Movement Theory
Quantitative Analysis of Impression of Robot Bodily Expression based on Laban Movement Theory
复制标题
基于拉班运动理论的机器人肢体表情印象定量分析
DOI：
10.7210/jrsj.19.252
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
Tomomasa Sato
中科院分区：
文献类型：
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作者：
T. Nakata;Taketoshi Mori;Tomomasa Sato
提出了一组身体特征值来解释身体表情所产生的印象。价值观的设计是基于身体运动心理学中著名的拉班运动分析理论。人体表情产生的表情符号与这些特征值密切相关。每个特征值都是数学定义的，因此很容易在计算机中实现。此外，特征值是根据一般的身体运动计算的。因此，该集合可以在机器人和计算机图形机构的身体表达系统中实现，以便于定量评估和预测由其身体产生的印象。本文介绍了机器人的概念和实施的一个例子。实验验证了该方法的有效性。
A set of physical feature values is proposed in order to explain impression produced by bodily expression. The concept of designing the value set is based on Laban Movement Analysis which is a famous theory in body movement psychology. Impressions produced by body expression are closely related to these feature values. Each of the feature values is defined mathematically, so that it is easy to implement in a computer. Also the feature values are calculated on general body movements. Therefore, the set can be implemented in body expression systems of robots and computer graphics bodies in order to facilitate quantitative evaluation and forecast of impression produced by their bodies. This paper describes the concept and an example of implementation on a robot. Validity of the set is verified in an experiment.