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Creation and Evaluation of emotion expression with body movement, sound and eye color for humanoid robots

机译:创建和评估人形机器人身体动作,声音和眼睛颜色的情感表达

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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.
机译:表现情感的能力是人类交流的关键特征,对于希望在社交环境中与人类互动的机器人来说,也是一个重要特征。对于基于身体运动的表情以及除面部表情之外的其他信号(如声音)的表情,到目前为止尚未建立共同点。基于对人类情感表达和情感刺激感知的心理学研究,我们为愤怒,悲伤,恐惧和欢乐情感创建了八种不同的表达设计,包括身体动作,声音和眼睛颜色。在大型的预测试中,我们评估了不同表达设计的识别率。在我们的主要实验中,我们将表达设计分为它们的单个提示(身体运动,声音,眼睛颜色),并评估了它们的表现力。对表达提示的理解的详细视图,使我们能够评估刺激的适当性,检查我们的实现是否有缺陷,并为系统地修改奠定基础。我们的分析表明,几乎所有的肢体动作都适合其目标情感,并且我们的某些声音需要修改。眼色可能被认为是情感表达的不可靠成分。

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