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将陌生面孔与驾照和护照照片进行匹配。

Unfamiliar Face Matching With Driving Licence and Passport Photographs.

作者信息

Kramer Robin S S, Mohamed Sophie, Hardy Sarah C

机构信息

School of Psychology, University of Lincoln, UK.

School of Psychology/Lincoln Institute for Health, University of Lincoln, UK.

出版信息

Perception. 2019 Feb;48(2):175-184. doi: 10.1177/0301006619826495.

Abstract

Matching two different images of an unfamiliar face is difficult, although we rely on this process every day when proving our identity. Although previous work with laboratory photosets has shown that performance is error-prone, few studies have focussed on how accurately people carry out this matching task using photographs taken from official forms of identification. In Experiment 1, participants matched high-resolution, colour face photos with current UK driving licence photos of the same group of people in a sorting task. Averaging 19 mistaken pairings out of 30, our results showed that this task was both difficult and error-prone. In Experiment 2, high-resolution photographs were paired with either driving licence or passport photographs in a typical pairwise matching paradigm. We found no difference in performance levels for the two types of ID image, with both producing unacceptable levels of accuracy (around 75%-79% correct). The current work benefits from increased ecological validity and provides a clear demonstration that these forms of official identification are ineffective and alternatives should be considered.

摘要

匹配两张不熟悉面孔的不同图像是困难的,尽管我们在证明自己身份时每天都依赖这一过程。尽管之前使用实验室照片集的研究表明,表现容易出错,但很少有研究关注人们使用官方身份证件照片进行这种匹配任务的准确程度。在实验1中,参与者在一项分类任务中,将高分辨率彩色面部照片与同一组人的当前英国驾照照片进行匹配。我们的结果显示,平均30对中有19对错误配对,表明这项任务既困难又容易出错。在实验2中,高分辨率照片在典型的成对匹配范式中与驾照照片或护照照片配对。我们发现两种身份证件图像的表现水平没有差异,两者的准确率都低到令人无法接受(约75%-79%正确)。当前的研究受益于生态效度的提高,并清楚地表明这些官方身份证明形式是无效的,应该考虑其他替代方案。

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