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理解面部匹配。

Understanding face matching.

机构信息

School of Psychology, University of Kent, Canterbury, UK.

出版信息

Q J Exp Psychol (Hove). 2023 Apr;76(4):862-880. doi: 10.1177/17470218221104476. Epub 2022 Jun 17.

Abstract

Many security settings rely on the identity matching of unfamiliar people, which has led this task to be studied extensively in Cognitive Psychology. In these experiments, observers typically decide whether pairs of faces depict one person (an identity match) or two different people (an identity mismatch). The visual similarity of the to-be-compared faces must play a primary role in how observers accurately resolve this task, but the nature of this similarity-accuracy relationship is unclear. The current study investigated the association between accuracy and facial similarity at the level of individual items (Experiments 1 and 2) and facial features (Experiments 3 and 4). All experiments demonstrate a strong link between similarity and matching accuracy, indicating that this forms the basis of identification decisions. At a feature level, however, similarity exhibited distinct relationships with match and mismatch accuracy. In matches, similarity information was generally shared across the features of a face pair under comparison, with greater similarity linked to higher accuracy. Conversely, features within mismatching face pairs exhibited greater variation in similarity information. This indicates that identity matches and mismatches are characterised by different similarity profiles, which present distinct challenges to the cognitive system. We propose that these identification decisions can be resolved through the accumulation of convergent featural information in matches and the evaluation of divergent featural information in mismatches.

摘要

许多安全设置依赖于陌生人身份的匹配,这使得这项任务在认知心理学中得到了广泛的研究。在这些实验中,观察者通常会判断一对人脸是否描绘了同一个人(身份匹配)或两个人(身份不匹配)。待比较的人脸的视觉相似性在观察者准确完成任务方面起着主要作用,但这种相似性与准确性的关系尚不清楚。本研究在个体项目(实验 1 和 2)和面部特征(实验 3 和 4)层面上探讨了准确性与面部相似性之间的关联。所有实验都表明相似性和匹配准确性之间存在很强的联系,这表明这是识别决策的基础。然而,在特征层面上,相似性与匹配和不匹配准确性之间存在明显的关系。在匹配中,相似性信息通常在比较中的一对人脸的各个特征之间共享,较高的相似性与较高的准确性相关。相反,在不匹配的人脸对中,特征之间的相似性信息差异较大。这表明身份匹配和不匹配具有不同的相似性特征,这给认知系统带来了不同的挑战。我们提出,这些识别决策可以通过匹配中收敛特征信息的积累和不匹配中发散特征信息的评估来解决。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3231/10031636/305ff24f63d3/10.1177_17470218221104476-fig1.jpg

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