仿人机器人用肢体动作、声音和眼睛颜色表达情感的创造与评价

M. Häring, Nikolaus Bee, E. André
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引用次数: 128

摘要

表达情感的能力是人类交流的一个关键特征,也是机器人在社交环境中与人类互动的一个关键特征。对于基于肢体动作的表情和面部表情以外的其他信号,比如声音,迄今为止还没有建立起共同的基础。基于对人类情绪表达和对情绪刺激感知的心理学研究,我们为愤怒、悲伤、恐惧和喜悦创造了八种不同的情绪表达设计,包括身体动作、声音和眼睛颜色。在一个大的预测试中,我们评估了不同表情设计的识别率。在我们的主要实验中,我们将表现性设计分成单个线索(身体动作、声音、眼睛颜色),并评估它们的表现性。对我们的表达线索的感知的详细视图,使我们能够评估刺激的适当性,检查我们的执行缺陷,并为系统修改建立基础。我们的分析显示,几乎所有的身体动作都适合他们的目标情绪,我们的一些声音需要修改。眼睛颜色可以被认为是情绪表达的不可靠成分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creation and Evaluation of emotion expression with body movement, sound and eye color for humanoid robots
The ability to display emotions is a key feature in human communication and also for robots that are expected to interact with humans in social environments. For expressions based on Body Movement and other signals than facial expressions, like Sound, no common grounds have been established so far. Based on psychological research on human expression of emotions and perception of emotional stimuli we created eight different expressional designs for the emotions Anger, Sadness, Fear and Joy, consisting of Body Movements, Sounds and Eye Colors. In a large pre-test we evaluated the recognition ratios for the different expressional designs. In our main experiment we separated the expressional designs into their single cues (Body Movement, Sound, Eye Color) and evaluated their expressivity. The detailed view at the perception of our expressional cues, allowed us to evaluate the appropriateness of the stimuli, check our implementations for flaws and build a basis for systematical revision. Our analysis revealed that almost all Body Movements were appropriate for their target emotion and that some of our Sounds need a revision. Eye Colors could be identified as an unreliable component for emotional expression.
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