Tracing Emotion: An Overview
Tracing Emotion: An Overview
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追踪情绪：概述
DOI：
10.4018/jse.2012010101
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
E. Douglas
中科院分区：
文献类型：
--
作者：
R. Cowie;G. McKeown;E. Douglas
连续表示的计算研究取决于从人类标记者那里获得连续表示。用于此目的的主要方法是跟踪。追踪提出了一系列具有挑战性的问题，包括心理和统计方面的问题。关于这些问题很容易做出天真的假设，并可能导致不适当的需求和使用。痕迹的自然功能是捕捉感知到的情感，因此它们属于感知和情感研究的悠久传统。对几种类型的材料进行的实验提供了有关其特征的信息，特别是人们倾向于同意的评级。分歧不一定是技术上的问题。它可能正确地表明人们对情感的印象比通常认为的差异更大。新系统 Gtrace 旨在让评级研究利用十年的经验，并解决现有数据提出的研究问题。
Computational research with continuous representations depends on obtaining continuous representations from human labellers. The main method used for that purpose is tracing. Tracing raises a range of challenging issues, both psychological and statistical. Naive assumptions about these issues are easy to make, and can lead to inappropriate requirements and uses. The natural function of traces is to capture perceived affect, and as such they belong in long traditions of research on both perception and emotion. Experiments on several types of material provide information about their characteristics, particularly the ratings on which people tend to agree. Disagreement is not necessarily a problem in the technique. It may correctly show that people's impressions of emotion diverge more than commonly thought. A new system, Gtrace, is designed to let rating studies capitalise on a decade of experience and address the research questions that are opened up by the data now available.
影响因子：
5.4
作者：
Nagel, Frederik;Kopiez, Reinhard;Altenmuller, Eckart
通讯作者：
Altenmuller, Eckart
影响因子：
7.6
作者：
LEVENSON, RW;GOTTMAN, JM
通讯作者：
GOTTMAN, JM