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时间压力和时间流逝对脸部匹配准确性的影响。

Effects of time pressure and time passage on face-matching accuracy.

作者信息

Fysh Matthew C, Bindemann Markus

机构信息

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

出版信息

R Soc Open Sci. 2017 Jun 7;4(6):170249. doi: 10.1098/rsos.170249. eCollection 2017 Jun.

DOI:10.1098/rsos.170249
PMID:28680677
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5493919/
Abstract

This study investigated the impact of time pressure on matching accuracy with face pairs that combined photographs from student ID cards with high-quality person portraits, and under conditions that provided infrequent identity mismatches. Time pressure was administered via two onscreen displays that observers could use to adjust the amount of time that was allocated to a given trial while completing a block of trials within a required timeframe. Under these conditions, observers matched faces under time pressure that varied from 10 to 2 s (Experiment 1) and 8 to 2 s (Experiment 2). An effect of time pressure was found in each experiment, whereby performance deteriorated under time targets of 4 s. Additionally, a match response bias emerged consistently across blocks, and indicated that separately to time pressure, performance also deteriorated due to time passage. These results therefore indicate that both and exert detrimental effects on face matching.

摘要

本研究调查了时间压力对将学生证照片与高质量人物肖像相结合的面部配对匹配准确性的影响,以及在身份不匹配情况较少的条件下的影响。时间压力通过两个屏幕显示来施加,观察者在规定的时间范围内完成一组试验时,可以使用这两个屏幕显示来调整分配给给定试验的时间量。在这些条件下,观察者在时间压力下进行面部匹配,时间范围从10秒到2秒(实验1)和8秒到2秒(实验2)。在每个实验中都发现了时间压力的影响,即在4秒的时间目标下,表现会变差。此外,在各个组块中一致出现了匹配反应偏差,这表明除了时间压力外,随着时间的推移,表现也会变差。因此,这些结果表明, 和 都会对面部匹配产生不利影响。 (注:原文中两个“和”的英文未给出,无法准确完整翻译)

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/451d/5493919/9d0d182817b1/rsos170249-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/451d/5493919/d391051a0283/rsos170249-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/451d/5493919/9d0d182817b1/rsos170249-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/451d/5493919/d391051a0283/rsos170249-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/451d/5493919/9d0d182817b1/rsos170249-g3.jpg

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本文引用的文献

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2
Face Recognition by Metropolitan Police Super-Recognisers.伦敦警察厅超级识别者的人脸识别技术
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Error Rates in Users of Automatic Face Recognition Software.自动人脸识别软件用户中的错误率。
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R Soc Open Sci. 2019 Jun 5;6(6):181904. doi: 10.1098/rsos.181904. eCollection 2019 Jun.
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