Applied screening tests for the detection of superior face recognition.
Applied screening tests for the detection of superior face recognition.
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DOI：
10.1186/s41235-018-0116-5
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发表时间：
2018-12
期刊：
影响因子：
--
通讯作者：
Richards S
中科院分区：
文献类型：
--
作者：
Bate S;Frowd C;Bennetts R;Hasshim N;Murray E;Bobak AK;Wills H;Richards S
近年来，无论是在理论研究还是应用研究中，对具有较高人脸识别技能的人的识别都越来越感兴趣。这些人大多是通过他们在一项严格控制的面孔记忆测试-剑桥面孔记忆测试(CFMT+)-的一次测试中的表现来识别的。他们在一系列测试中的技能一致性，特别是那些复制更多适用的警务场景的测试，尚未得到系统的检验。目前的调查使用了CFMT+和三种新的、更实用的测试(测量人脸记忆、人脸匹配和人群中的复合人脸识别)，对200名认为自己拥有优越人脸识别技能的人进行了筛查。在样本中，59.5%的人在优越的人脸识别表现上至少表现出一定的一致性，尽管只有5个人在有靶子和没有靶子试验的总体指数上超过了对照。只有一名参与者在人群测试中的表现好于对照组，这表明一些应用的人脸识别任务需要非常特殊的技能。总而言之，未来的筛查方案需要适当彻底，以测试性能的一致性，并允许从一开始就检测到不同类型的优秀者。筛选最佳表现者有时可能需要直接复制所讨论的任务，同时考虑到目标存在和目标不存在的表现。仅靠自我选择并不是辨认那些处于人脸识别光谱高端的人的可靠手段。本文的在线版本(10.1186/s412350180116-5)包含补充材料，可供授权用户使用。
In recent years there has been growing interest in the identification of people with superior face recognition skills, for both theoretical and applied investigations. These individuals have mostly been identified via their performance on a single attempt at a tightly controlled test of face memory—the long form of the Cambridge Face Memory Test (CFMT+). The consistency of their skills over a range of tests, particularly those replicating more applied policing scenarios, has yet to be examined systematically. The current investigation screened 200 people who believed they have superior face recognition skills, using the CFMT+ and three new, more applied tests (measuring face memory, face matching and composite-face identification in a crowd). Of the sample, 59.5% showed at least some consistency in superior face recognition performance, although only five individuals outperformed controls on overall indices of target-present and target-absent trials. Only one participant outperformed controls on the Crowds test, suggesting that some applied face recognition tasks require very specific skills. In conclusion, future screening protocols need to be suitably thorough to test for consistency in performance, and to allow different types of superior performer to be detected from the outset. Screening for optimal performers may sometimes need to directly replicate the task in question, taking into account target-present and target-absent performance. Self-selection alone is not a reliable means of identifying those at the top end of the face recognition spectrum. The online version of this article (10.1186/s41235-018-0116-5) contains supplementary material, which is available to authorized users.
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