使用人脸原型时的方法论问题:以Faceaurus数据集为例。

IF 2.2 Q1 ANTHROPOLOGY Evolutionary Human Sciences Pub Date : 2022-01-01 DOI:10.1017/ehs.2022.25
Jeanne Bovet, Arnaud Tognetti, Thomas V Pollet
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引用次数: 2

摘要

原型脸是通过对几个具有共同特征(例如某种人格特征)的人的脸进行平均而产生的,可以用于面部研究中的高信息量实验设计。尽管面部原型方法既巧妙又有用,但我们认为它的实现与三个主要问题有关:缺乏外部有效性和信息单位的非独立性,这两个问题都因所使用的方法及其局限性缺乏透明度而加剧。在这里,我们描述了这些局限性,并通过系统回顾使用原型数据集“Faceaurus”创建面部刺激的研究来说明我们的主张。然后,我们提出一些可以消除或减少这些问题的解决方案。我们就如何产生更普遍和可复制的结果为未来的研究提供了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Methodological issues when using face prototypes: A case study on the Faceaurus dataset.

Prototype faces, created by averaging faces from several individuals sharing a common characteristic (for example a certain personality trait), can be used for highly informative experimental designs in face research. Although the facial prototype method is both ingenious and useful, we argue that its implementation is associated with three major issues: lack of external validity and non-independence of the units of information, both aggravated by a lack of transparency regarding the methods used and their limitations. Here, we describe these limitations and illustrate our claims with a systematic review of studies creating facial stimuli using the prototypes dataset 'Faceaurus'. We then propose some solutions that can eliminate or reduce these problems. We provide recommendations for future research employing this method on how to produce more generalisable and replicable results.

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来源期刊
Evolutionary Human Sciences
Evolutionary Human Sciences Social Sciences-Cultural Studies
CiteScore
4.60
自引率
11.50%
发文量
49
审稿时长
10 weeks
期刊最新文献
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