Perceiving emotion: towards a realistic understanding of the task
Perceiving emotion: towards a realistic understanding of the task
复制标题
感知情绪：对任务有现实的理解
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
R. Cowie
中科院分区：
文献类型：
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作者：
R. Cowie
十年前，感知情感通常等同于采集一个无疑代表原型情感状态的样本（一张静态照片或几秒钟的演讲），并贴上适当的标签。计算研究已经以多种方式改变了这种范式。关注现实主义是关键。情绪通常会给正在进行的行动和互动涂上颜色：描述这种颜色与对相对纯粹的情绪的短暂发作进行分类是不同的问题。多重挑战由此而来。描述情感色彩本身就是一个挑战。一种方法是使用日常类别来描述部分情绪和部分认知的状态。另一种方法是使用维度。这两种方法都需要处理随着时间的推移逐渐变化和复杂情绪的方法。将目标描述附加到样本会带来过程和验证方面的问题。线索可能在时间上和跨模式上分布，关键决策可能在很大程度上取决于上下文。行为数据的有用性是有限的，因为它往往不会重现这些功能。通过参与这些具有挑战性的问题，研究不仅取得了令人印象深刻的成果，而且还提供了对问题的更深入的理解。
A decade ago, perceiving emotion was generally equated with taking a sample (a still photograph or a few seconds of speech) that unquestionably signified an archetypal emotional state, and attaching the appropriate label. Computational research has shifted that paradigm in multiple ways. Concern with realism is key. Emotion generally colours ongoing action and interaction: describing that colouring is a different problem from categorizing brief episodes of relatively pure emotion. Multiple challenges flow from that. Describing emotional colouring is a challenge in itself. One approach is to use everyday categories describing states that are partly emotional and partly cognitive. Another approach is to use dimensions. Both approaches need ways to deal with gradual changes over time and mixed emotions. Attaching target descriptions to a sample poses problems of both procedure and validation. Cues are likely to be distributed both in time and across modalities, and key decisions may depend heavily on context. The usefulness of acted data is limited because it tends not to reproduce these features. By engaging with these challenging issues, research is not only achieving impressive results, but also offering a much deeper understanding of the problem.
影响因子：
7.6
作者：
FRANK, MG;EKMAN, P;FRIESEN, WV
通讯作者：
FRIESEN, WV
DOI：
10.1002/ajpa.20001
发表时间：
2001-01-01
期刊：
YEARBOOK OF PHYSICAL ANTHROPOLOGY, VOL 44
影响因子：
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作者：
Schmidt, KL;Cohn, JF
通讯作者：
Cohn, JF