Conveying emotion intensity with bio-inspired expressive walking - Experiments with sadness and happiness
Conveying emotion intensity with bio-inspired expressive walking - Experiments with sadness and happiness
复制标题
通过受生物启发的富有表现力的行走来传达情感强度 - 悲伤和快乐的实验
DOI：
10.1109/roman.2013.6628438
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
A. Takanishi
中科院分区：
文献类型：
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作者：
Matthieu Destephe;M. Zecca;K. Hashimoto;A. Takanishi
在人机交互领域，对人类情感的理解是非常重要的。一个人的情感状态可以通过几种方式来表达，其中之一是通过我们走路的方式，我们的步态可以在社会背景下传达情感线索。这些线索可以用来改善与同龄人的个人互动，或者为我们想要表达的任何信息增加意义。然而，关于情绪对行走的影响的类人机器人研究寥寥无几。在本文中，我们建议通过一项调查来评估从运动捕捉数据创建的情感行走模式。这些模式代表了不同的情绪(悲伤、快乐)，具有不同的强度(中等、高度和夸张)。这些情感行走模式达到了很高的情感识别率，在我们的仿人机器人上，被试(N=13)可以在没有面部表情的情况下识别整个身体的情感。此外，我们发现，一开始，人们在识别情绪及其强度方面可能表现不佳，但即使没有对他们的表现进行纠正或反馈，也可以变得更好。
The understanding of emotions in humans is really important in the Human-Robot Interaction field. The affective state of a person can be expressed in several ways, one of them being through the way we walk and our gait can convey emotional clues in social context. Those clues can be used to improve the personal interactions with our peers or add meaning to any message we want to express. However, only a few studies in humanoid robotics were done on the effects of the emotions on the walking. In this paper, we propose to assess the emotional walking patterns created from motion capture data with a survey. Those patterns represent different emotions (sadness, happiness) with different intensities (middle, high and exaggerated). Those emotional walking patterns achieved a high recognition rate of the emotions and the subjects (N=13) could recognize whole body emotions without facial expression on our humanoid robot. Additionally, we found out that at first people might perform poorly at recognizing emotions and their intensities but can get better, even without correction or feedback on their performances.