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面对现实:单纯的参与者对自己的面部识别和面部感知能力只有适度的洞察力。

Facing the facts: Naive participants have only moderate insight into their face recognition and face perception abilities.

作者信息

Bobak Anna K, Mileva Viktoria R, Hancock Peter Jb

机构信息

Psychology, Faculty of Natural Sciences, University of Stirling, Stirling, UK.

出版信息

Q J Exp Psychol (Hove). 2019 Apr;72(4):872-881. doi: 10.1177/1747021818776145. Epub 2018 May 31.

Abstract

A reliable self-report measure to assess the broad spectrum of face recognition ability (FRA) from developmental prosopagnosia (DP) to super-recognition would make a valuable contribution to initial screening of large populations. We examined the performance of 96 naive participants and seven super-recognisers (SRs) using a range of face and object processing tasks and a newly developed 20-item questionnaire, the Stirling Face Recognition Scale (SFRS). Overall, our findings suggest that young adults have only moderate insight into their FRA, but those who have been previously informed of their (exceptional) performance, the SRs, estimate their FRA accurately. Principal component analysis of SFRS yielded two components. One loads on questions about low ability and correlates with perceptual tasks, and one loads on questions about high FRA and correlates with memory for faces. We recommend that self-report measures of FRA should be used in addition to behavioural testing, to allow for cross-study comparisons, until new, more reliable instruments of self-report are developed. However, self-report measures should not be solely relied upon to identify highly skilled individuals. Implications of these results for theory and applied practice are discussed.

摘要

一种可靠的自我报告测量方法,用于评估从发展性面孔失认症(DP)到超级识别能力的广泛面孔识别能力(FRA),将对大规模人群的初步筛查做出宝贵贡献。我们使用一系列面孔和物体处理任务以及新开发的20项问卷——斯特林面孔识别量表(SFRS),对96名未经过训练的参与者和7名超级识别者(SRs)的表现进行了研究。总体而言,我们的研究结果表明,年轻人对自己的FRA只有适度的了解,但那些之前被告知自己(超常)表现的人,即超级识别者,能够准确估计自己的FRA。对SFRS进行主成分分析产生了两个成分。一个与关于低能力的问题相关,并与感知任务相关,另一个与关于高FRA的问题相关,并与对面孔的记忆相关。我们建议,除了行为测试外,还应使用FRA的自我报告测量方法,以便进行跨研究比较,直到开发出更新的、更可靠的自我报告工具。然而,不应仅仅依靠自我报告测量方法来识别高技能个体。讨论了这些结果对理论和应用实践的影响。

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