面部独特性在双目标人脸搜索中的优先排序中的作用。

IF 3.4 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Emma Smillie, Natalie Mestry, Dan Clark, Neil Harrison, Nick Donnelly
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引用次数: 0

摘要

有两项实验探讨了在不连续双目标人脸搜索(DDTFS)任务中对陌生人脸目标进行成对人脸搜索的情况。对目标的独特性进行了处理,使两张面孔都具有典型性或独特性,或包含一个典型目标和一个独特目标。目标在由八个面孔组成的阵列中进行搜索。在实验 1 中,被试完成了一个 DDTFS 试验块,并在该试验块中学习了目标。在实验 2 中,双目标区块之前有两个单目标试验训练区块。受试者还完成了直立和倒立长式剑桥人脸记忆测试(CFMT+)。结果表明,搜索两个典型面孔会导致一个目标优先于另一个目标。搜索非优先典型面孔的能力与 CFMT+ 的得分有关。如果在完成 DDTFS 之前学习面孔,这种关联就会消失。我们从典型性对面孔学习的影响、学习面孔能力的个体差异以及容量受限的工作记忆在搜索陌生面孔时的参与等方面对研究结果进行了解释。这些发现对与安全相关的情境具有重要意义,在这种情境中,代理人必须在看到多个陌生面孔的图像后对其进行搜索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The role of facial distinctiveness in the prioritisation of targets in disjunctive dual-target face search.

Two experiments explored the search for pairs of faces in a disjunctive dual-target face search (DDTFS) task for unfamiliar face targets. The distinctiveness of the target was manipulated such that both faces were typical or distinctive or contained one typical and one distinctive target. Targets were searched for in arrays of eight faces. In Experiment 1, participants completed a DDTFS block with targets learnt over the block of trials. In Experiment 2, the dual-target block was preceded by two training blocks of single-target trials. Participants also completed the upright and inverted long-form Cambridge Face Memory Test (CFMT+). The results showed that searching for two typical faces leads to one target being prioritised at the expense of the other. The ability to search for non-prioritised typical faces was associated with scores on the CFMT+. This association disappeared when faces were learnt before completing DDTFS. We interpret the findings in terms of the impact of typicality on face learning, individual differences in the ability to learn faces, and the involvement of capacity-limited working memory in the search for unfamiliar faces. The findings have implications for security-related situations where agents must search for multiple unfamiliar faces having been shown their images.

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来源期刊
CiteScore
6.80
自引率
7.30%
发文量
96
审稿时长
25 weeks
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