Tracing Emotion: An Overview

R. Cowie, G. McKeown, E. Douglas-Cowie
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引用次数: 70

Abstract

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.
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追踪情感:概述
连续表示的计算研究依赖于从人类标记器中获得连续表示。用于此目的的主要方法是跟踪。追踪引发了一系列具有挑战性的问题,包括心理学和统计学。很容易对这些问题做出天真的假设,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。不同意见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更不同。一个名为Gtrace的新系统旨在让评级研究利用10年的经验,解决现有数据带来的研究问题。
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