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使用面部原型时的方法学问题:以Faceaurus数据集为例的研究

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

作者信息

Bovet Jeanne, Tognetti Arnaud, Pollet Thomas V

机构信息

Department of Psychology, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK.

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

出版信息

Evol Hum Sci. 2022 Oct 28;4:e48. doi: 10.1017/ehs.2022.25. eCollection 2022.

Abstract

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.

摘要

通过对具有共同特征(例如某种人格特质)的多个人的面部进行平均而创建的原型面孔,可用于面部研究中具有高度信息性的实验设计。尽管面部原型方法既巧妙又有用,但我们认为其实施存在三个主要问题:缺乏外部有效性以及信息单元的非独立性,这两个问题都因所用方法及其局限性缺乏透明度而加剧。在此,我们描述这些局限性,并通过对使用原型数据集“Faceaurus”创建面部刺激的研究进行系统综述来说明我们的观点。然后,我们提出一些可以消除或减少这些问题的解决方案。我们为未来使用此方法的研究提供建议,说明如何产生更具普遍性和可重复性的结果。

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