首页> 外文会议>International Conference on Affective Computing and Intelligent Interaction(ACII 2007); 20070912-14; Lisbon(PT) >Using Actor Portrayals to Systematically Study Multimodal Emotion Expression: The GEMEP Corpus
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Using Actor Portrayals to Systematically Study Multimodal Emotion Expression: The GEMEP Corpus

机译:使用演员刻画系统地研究多模式情绪表达:GEMEP语料库

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摘要

Emotion research is intrinsically confronted with a serious difficulty to access pertinent data. For both practical and ethical reasons, genuine and intense emotions are problematic to induce in the laboratory; and sampling sufficient data to capture an adequate variety of emotional episodes requires extensive resources. For researchers interested in emotional expressivity and nonverbal communication of emotion, this situation is further complicated by the pervasiveness of expressive regulations. Given that emotional expressions are likely to be regulated in most situations of our daily lives, spontaneous emotional expressions are especially difficult to access. We argue in this paper that, in view of the needs of current research programs in this field, well-designed corpora of acted emotion portrayals can play a useful role. We present some of the arguments motivating the creation of a multimodal corpus of emotion portrayals (Geneva Multimodal Emotion Portrayal, GEMEP) and discuss its overall benefits and limitations for emotion research.
机译:情感研究在本质上面临着访问相关数据的严重困难。出于实际和伦理的原因,在实验室中难以引起真实而激烈的情绪。采样足够的数据以捕获足够多的情感事件需要大量资源。对于对情感表达和情感的非言语交流感兴趣的研究人员,由于表达规则的普遍性,使这种情况更加复杂。考虑到情绪表达在我们日常生活的大多数情况下都可能受到调节,因此自发情绪表达尤其难以获得。在本文中,我们认为,鉴于该领域当前的研究计划的需求,精心设计的行为情感刻画语料库可以发挥有用的作用。我们提出一些论点,以鼓励人们建立情感描述的多模式语料库(日内瓦多模态情感描述,GEEMP),并讨论其在情感研究中的整体优势和局限性。

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