Using secondary data analyses to establish whether face-shape characteristics predict social judgments of faces consistently across world regions

使用二次数据分析来确定面部形状特征是否能够一致地预测世界各地区对面部的社会判断

• 批准号: ES/X000249/1
• 负责人: Benedict Jones
• 金额: $ 26.41万
• 依托单位: University of Strathclyde
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FX000249%2F1
• 关键词: Using; secondary; data; analyses; establish

I will combine analyses of a large open-access face-rating dataset and a face-image database (i.e., secondary data analyses) to establish whether face-shape characteristics predict social judgments of faces consistently across world regions.A large body of work has demonstrated that social judgments of faces (i.e., the stereotypic perceptions we form about other people based on their facial appearance) influence important social outcomes. For example, people prefer to date, mate with, hire, and vote for individuals perceived as being particularly attractive. Moreover, untrustworthy-looking court defendants are more likely to receive death sentences. Consequently, a large interdisciplinary literature has developed investigating the factors that shape social judgments of faces.An unresolved issue in this literature is the extent to which the effects of face-shape characteristics on social judgments of faces are consistent across different world regions. Findings from studies of this issue have been mixed (e.g., Perrett et al., 1998 Nature; Scott et al., 2014 PNAS) and the methods they used to assess social judgments of faces have recently been strongly criticised.I recently led a Registered Report that was published in Nature Human Behaviour (Jones et al., 2021, 62 citations in Google Scholar) and assessed over eleven thousand participants' social judgments of faces in eleven world regions (Africa, Asia, Australia and New Zealand, Central America and Mexico, Eastern Europe, The Middle East, United States and Canada, Scandinavia, South America, United Kingdom, and Western Europe) using methods that specifically addressed limitations of methods used in previous work. Using Principal Component Analyses (PCA), this study found that social judgments of faces were underpinned by trustworthiness and dominance dimensions and that this pattern of results was highly consistent across world regions. Crucially, however, Jones et al. (2021) did not investigate relationships between these dimensions and face-shape characteristics. The analyses reported in Jones et al. (2021) are analyses of a dataset produced by a project I led (with Lisa DeBruine and Jessica Flake) that was the first project to be conducted by the Psychological Science Accelerator (PSA; https://psysciacc.org). The PSA is a distributed network of researchers from across the world who conduct large-scale democratically selected studies. The dataset from Jones et al. (2021) is referred to within the PSA network as the PSA001 dataset (reflecting the fact it was the first dataset to be produced by the PSA) and both the PSA001 dataset and the face stimuli used to collect these data are publicly available. Consequently, I propose to carry out preregistered secondary analyses of these data to assess whether face-shape characteristics predict social judgments of faces consistently across world regions.

我将联合收割机分析一个大型的开放访问的人脸评级数据集和一个人脸图像数据库（即，辅助数据分析）来确定脸部形状特征是否在世界各地区一致地预测脸部的社会判断大量的工作已经证明脸部的社会判断（即，我们根据他人的面部外表对他们形成的刻板印象）影响着重要的社会结果。例如，人们更喜欢约会，交配，雇用和投票给那些被认为特别有吸引力的人。此外，看起来不值得信任的法庭被告更有可能被判处死刑。因此，一个大型的跨学科的文献已经开发出调查的因素，形成社会判断的面孔。在这篇文献中一个悬而未决的问题是在何种程度上的面孔形状特征对社会判断的面孔是一致的，在不同的世界地区。对这一问题的研究结果喜忧参半（例如，Perrett等人，1998 Nature; Scott等人，2014 PNAS）和他们用来评估面孔社会判断的方法最近受到了强烈的批评。我最近领导了一份发表在《自然人类行为》上的注册报告（Jones等人，2021年，谷歌学术62引文），并评估了超过11000名参与者的社会判断的面孔在11个世界地区（非洲，亚洲，澳大利亚和新西兰，中美洲和墨西哥，东欧，中东，美国和加拿大，斯堪的纳维亚半岛，南美洲，英国和西欧）使用的方法，专门解决了在以前的工作中使用的方法的局限性。使用主成分分析（PCA），这项研究发现，面孔的社会判断是由可信度和优势维度支撑的，并且这种结果模式在世界各地高度一致。然而，至关重要的是，Jones等人（2021）没有研究这些尺寸与脸型特征之间的关系。Jones等人（2021）报告的分析是对我领导的一个项目（与丽莎·德布鲁因和杰西卡·弗莱克）产生的数据集的分析，该项目是心理科学加速器（PSA; https://psysciacc.org）进行的第一个项目。PSA是一个由来自世界各地的研究人员组成的分布式网络，他们进行大规模的民主选择研究。Jones等人（2021）的数据集在PSA网络中被称为PSA 001数据集（反映了它是PSA产生的第一个数据集的事实），PSA 001数据集和用于收集这些数据的面部刺激都是公开的。因此，我建议对这些数据进行预先登记的二次分析，以评估脸形特征是否能预测世界各地区对面孔的社会判断。

项目成果

Assessing the roles of shape prototypicality and sexual dimorphism in ratings of the trustworthiness of faces

评估形状原型和性别二态性在面部可信度评级中的作用

• DOI: 10.17605/osf.io/htbjv
• 发表时间: 2023
• 作者: Shiramizu V

Assessing the Roles of Symmetry, Prototypicality, and Sexual Dimorphism of face Shape in Health Perceptions

评估脸型的对称性、原型性和性别二态性在健康认知中的作用

• DOI: 10.1007/s40750-024-00233-6
• 发表时间: 2024
• 期刊: Adaptive Human Behavior and Physiology
• 影响因子: 1.6
• 作者: Leger K

The importance of face-shape masculinity for perceptions of male dominance depends on study design

脸型男性气质对于男性主导地位认知的重要性取决于研究设计

• DOI: 10.17605/osf.io/7tw4y
• 发表时间: 2023
• 作者: Kathlyne Leger

The importance of face-shape masculinity for perceptions of male dominance depends on study design.

• DOI: 10.1038/s41598-023-39912-x
• 发表时间: 2023-08-03
• 期刊: SCIENTIFIC REPORTS
• 影响因子: 4.6
• 作者: Dong, Junzhi;Leger, Kathlyne;Shiramizu, Victor K M;Marcinkowska, Urszula M;Lee, Anthony J;Jones, Benedict C
• 通讯作者: Jones, Benedict C

Assessing the roles of shape prototypicality and sexual dimorphism in ratings of the trustworthiness of faces.

• DOI: 10.1038/s41598-023-42990-6
• 发表时间: 2023-09-20
• 期刊: SCIENTIFIC REPORTS
• 影响因子: 4.6
• 作者: Leger, Kathlyne;Dong, Junzhi;DeBruine, Lisa M.;Jones, Benedict C.;Shiramizu, Victor K. M.
• 通讯作者: Shiramizu, Victor K. M.