Crowd Effects in Unfamiliar Face Matching

Psychological research shows that humans can not reliably match unfamiliar faces. This presents a practical problem, because identity verification processes in a variety of occupational settings depend on people to perform these tasks reliably. In this context, it is surprising that very few studies have attempted to improve human performance. Here, we investigate whether distributing face matching tasks across groups of individuals might help to solve this problem. Across four studies, we measure the accuracy of the ‘crowd’ on a standard test of face matching ability and find that aggregating individual responses produces substantial gains in matching accuracy. We discuss the practical implications of this result and also suggest ways in which this approach might be used to improve our understanding of face perception more generally. Copyright © 2013 John Wiley & Sons, Ltd.     

Disguising Superman: How Glasses Affect Unfamiliar Face Matching

Could a simple pair of glasses really fool us into thinking Superman and Clark Kent are two different people? Here, we investigated the perception of identity from face images with a task that relies on visual comparison rather than memory. Participants were presented with two images simultaneously and were asked whether the images depicted the same person or two different people. The image pairs showed neither image with glasses, both images with glasses, and ‘mixed’ pairs of one image with and one without glasses. Participants' accuracies, measured by both percentage correct and d′ sensitivity, were significantly lower for ‘mixed’ trials. Analysis of response bias showed that when only one face wore glasses, people tended to respond ‘different’. We demonstrate that glasses affect face matching ability using unconstrained images, and this has implications for both disguise research and authenticating identity in the real world. Copyright © 2016 John Wiley & Sons, Ltd.     

Improving Unfamiliar Face Matching by Masking the External Facial Features

Counter‐terrorism and crime prevention often depend on our ability to match images of unfamiliar faces. For example, when issuing passports, staff must establish an applicant's identity by comparing the submitted photograph witht those in the database of current passports to ensure that multiple documents are not issued to the same person under different names. Previous research has shown that this is a difficult and error prone task. We suggest that this ‘passport problem’ may be due to an over‐reliance on the appearance of external facial features that can be unreliable cues to identity. Compatible with this explanation, we demonstrate that in difficult trials involving a change of appearance or attempted fraud involving a similar looking foil, participants are better able to determine whether two images are of the same person when shown only the internal features of the faces rather than whole images. This discovery has significant practical implications and could form the basis of a procedure to improve the detection of identity fraud.Copyright © 2016 John Wiley & Sons, Ltd.     

Development of Recognition of Face Parts from Unfamiliar Faces

The present study examined developmental changes in the ability to recognize face parts. In Experiment 1, participants were familiarized with whole faces and given a recognition test with old and new eyes, noses, mouths, inner faces, outer faces, or whole faces. Adults were above chance in their recognition of the eye and mouth regions. However, children did not naturally encode and recognize face parts independently of the entire face. In addition, all age groups showed comparable inner and outer face recognition, except for 8‐ to 9‐year‐olds who showed a recognition advantage for outer faces. In Experiment 2, when participants were familiarized with eyes, noses, or mouths and tested with eyes, noses, or mouths, respectively, all ages showed above‐chance recognition of eyes and mouths. Thirteen‐ to 14‐year‐olds were adult‐like in their recognition of the eye region, but mouth recognition continued to develop beyond 14 years of age. Nose recognition was above chance among 13‐ to 14‐year‐olds, but recognition scores remained low even in adulthood. The present findings reveal unique developmental trajectories in the use of isolated facial regions in face recognition and suggest that featural cues (as a class) have a different ontogenetic course relative to holistic and configural cues. Copyright © 2012 John Wiley & Sons, Ltd.     

Justifiability and the Motivational Power of Tangible Noncash Incentives

This article studies the motivational power of hedonic noncash incentives compared to the motivational power of an equivalent amount of cash. In a laboratory study, working adults who engaged in a challenging mental task performed better in pursuit of a noncash incentive than in pursuit of a cash incentive of equal cash value, even though they stated a preference to receive the cash award. Justification concerns regarding the consumption and purchase of luxurious hedonic goods are found to be a major cause of this behavioral inconsistency. These findings suggest that firms must be careful in asking employees what incentives they prefer, because the preferred incentive may not be the one that leads to the best performance.     

短期学习对陌生面孔认知绩效的影响

本文研究了不同的短期学习时间对陌生面孔的绝对辩认绩效的影响。结果表明：(1)0．5分、1分、5分这三种不同的短期学习时间对陌生面孔的绝对辩认绩效没有明显的影响。(2)人们对人脸结构信息的改变非常敏感,当结构信息变动4．88个象素(或9．13’)时,被试对陌生面孔的平均正确绝对辩认率可达到75％以上。(3)在对陌生人脸的绝对辩认中,被试的正确辩认率随着结构信息变化量的增加而提高,趋势分为快速增长区和迟滞增长区两个区域。     

The Role of the Face and Body in Unfamiliar Person Identification

Information useful for identifying a person can be found both in the face and body. Previous studies indicate that when an entire person is visible, we rely strongly on the face for identification, even if the body can be useful. We measured the utility of the face versus body for identification, by using images of unfamiliar people that varied in the quality of identity information in the face. Face quality was varied using similarity scores generated by state‐of‐the‐art face recognition algorithms from an international competition. These algorithms estimated the similarity of faces in a large set (>1 000 000) of image pairs that showed ‘people’, including the face and the top half of the body. By using these similarity scores, image pairs were stratified into three groups representing good, moderate, and poor performance for the face recognition algorithm. Participants matched identity in image pairs sampled from the three groups, by using versions of the stimuli edited digitally to show only the face or body. Consistent with the algorithm stratifications, performance with the face declined across the three conditions. The face supported more accurate identification than the body in the good and moderate conditions. In the poor condition, performance from the face and body was comparable. Using data from a previous study, we compared the face‐only and body‐only identity judgments with judgments based on the original image. The original unedited image supported the best overall performance in the good and moderate conditions. Notably, performance in the poor condition was equivalent for the face, body, and original images. The results indicate that in poor viewing conditions, identification decisions from the body may be as accurate as those made from the face or the entire person. Copyright © 2013 John Wiley & Sons, Ltd.     

The Kent Face Matching Test

This study presents the Kent Face Matching Test (KFMT), which comprises 200 same-identity and 20 different-identity pairs of unfamiliar faces. Each face pair consists of a photograph from a student ID card and a high-quality portrait that was taken at least three months later. The test is designed to complement existing resources for face-matching research, by providing a more ecologically valid stimulus set that captures the natural variability that can arise in a person's appearance over time. Two experiments are presented to demonstrate that the KFMT provides a challenging measure of face matching but correlates with established tests. Experiment 1 compares a short version of this test with the optimized Glasgow Face Matching Test (GFMT). In Experiment 2, a longer version of the KFMT, with infrequent identity mismatches, is correlated with performance on the Cambridge Face Memory Test (CFMT) and the Cambridge Face Perception Test (CFPT). The KFMT is freely available for use in face-matching research.     

The Glasgow Face Matching Test

We describe a new test for unfamiliar face matching, the Glasgow Face Matching Test (GFMT). Viewers are shown pairs of faces, photographed in full-face view but with different cameras, and are asked to make same/different judgments. The full version of the test comprises 168 face pairs, and we also describe a shortened version with 40 pairs. We provide normative data for these tests derived from large subject samples. We also describe associations between the GFMT and other tests of matching and memory. The new test correlates moderately with face memory but more strongly with object matching, a result that is consistent with previous research highlighting a link between object and face matching, specific to unfamiliar faces. The test is available free for scientific use.     

Facial Wipes don't Wash: Facial Image Comparison by Video Superimposition Reduces the Accuracy of Face Matching Decisions

In cases of disputed CCTV identification, expert testimony based on the results of analysis by facial image comparison may be presented to the Jury. However, many of the techniques lack empirical data to support their use. Using a within‐participants design, we compared the accuracy of face‐matching decisions when images were presented using a ‘facial wipe’ technique (where one image is superimposed on another and the display gradually ‘wipes’ between the two) with decisions based on static images. Experiment 1 used high‐quality image pairs; Experiment 2 used disguised target images; and Experiment 3 used degraded target images. Across all three experiments, rather than optimising performance, facial wipes reduced accuracy relative to static presentations. Further, there is evidence that video wipes increase false positives and therefore may increase the likelihood that images of two different people will be incorrectly judged to show the same individual.Copyright © 2016 John Wiley & Sons, Ltd.     

Improving Discrimination and Face Matching with Caricature

Identification of faces from photographs is a common security measure, but matching unfamiliar faces produces high rates of error. Caricatures of familiar people are highly identifiable because they exaggerate distinctive features. We investigated whether exaggerating unfamiliar faces through caricaturing could also improve face‐matching accuracy. In Experiment 1, face‐matching arrays were caricatured relative to an average by 30%, 50% and 70%. Correct rejection of the target‐absent arrays was improved at all levels. Accurate matches increased at 30%, but at 70%, the transformation was too extreme, and all of the arrays were more likely to be rejected. In Experiment 2, photographic identification (ID) images were caricatured by 30% and 50% and matched to life‐size photographs. Rejection of foils improved, but the ID of matching images was impaired. Modest levels of caricature may improve discrimination in unfamiliar face matching, but at stronger levels, a conservative response bias may inhibit accurate ID. Copyright © 2013 John Wiley & Sons, Ltd.     

Human–Computer Interaction in Face Matching

Automatic facial recognition is becoming increasingly ubiquitous in security contexts such as passport control. Currently, Automated Border Crossing (ABC) systems in the United Kingdom (UK) and the European Union (EU) require supervision from a human operator who validates correct identity judgments and overrules incorrect decisions. As the accuracy of this human–computer interaction remains unknown, this research investigated how human validation is impacted by a priori face‐matching decisions such as those made by automated face recognition software. Observers matched pairs of faces that were already labeled onscreen as depicting the same identity or two different identities. The majority of these labels provided information that was consistent with the stimuli presented, but some were also inconsistent or provided “unresolved” information. Across three experiments, accuracy consistently deteriorated on trials that were inconsistently labeled, indicating that observers’ face‐matching decisions are biased by external information such as that provided by ABCs.     

Using Motivational General-Mastery Imagery to Improve the Self-efficacy of Youth Squash Players

The current study examined whether an individualized motivational general-mastery MG-M imagery intervention consisting of daily imagery practice and weekly one-on-one guided imagery sessions could enhance self-efficacy in youth squash athletes (N = 5; M _age = 10.80; SD = 1.93). A single-subject multiple-baseline design was employed spanning 13–18 weeks. Measures included the Sport Imagery Questionnaire for Children (Hall, Munroe-Chandler, Fishburne, & Hall et al., 2009) and a squash-specific self-efficacy questionnaire. Results indicated improvements in self-efficacy for 3 of the 5 athletes. The results from this study help inform researchers and practitioners regarding the use of MG-M imagery as a means to improve young athletes’ self-efficacy.     

The Effect of Feedback on Face‐Matching Accuracy

In face matching, observers have to decide if two photographs depict the same person or different people. This is a remarkably difficult task, so the current study investigated whether it can be improved when observers receive feedback for their performance. In five experiments, observers' initial matching performance was recorded before feedback for their accuracy was administered across three blocks. Improvements were then assessed with faces that had been seen previously with or without feedback and with completely new, previously unseen faces. In all experiments, feedback failed to improve face‐matching accuracy. However, trial‐by‐trial feedback helped to maintain accuracy at baseline level after feedback was withdrawn again, even with new faces (Experiments 1–3). By contrast, when no feedback was given throughout the experiment (Experiments 1–3) or when outcome feedback was administered at the end of blocks (Experiments 4 and 5), a continuous decline in matching accuracy was found, whereby observers found it increasingly difficult to tell different facial identities apart. A sixth experiment showed that this decline in accuracy continues throughout when the matching task is prolonged substantially. Together, these findings indicate that observers find it increasingly difficult to differentiate faces in matching tasks over time, but trial‐by‐trial feedback can help to maintain accuracy. The theoretical and practical implications of these findings are discussed. Copyright © 2013 John Wiley & Sons, Ltd.     

Accuracy in Face Perception: A View from Ecological Psychology

ABSTRACT It is well documented that people form reliable and robust impressions of a stranger's personality traits on the basis of facial appearance. The propensity to judge character from the face is typically thought to reflect cultural beliefs about mythical relations between aspects of facial appearance and personality. However, recent cross-cultural and developmental research does not support the mythical, cultural stereotype hypothesis. An alternative explanation of the data is that consensus in face-based impressions exists because those judgments are partially accurate. In this article, we explore the theoretical rationale for this “kernel-of-truth” hypothesis, review research that indicates that first impressions based on facial appearance are partially accurate, and discuss the potential mechanisms that may yield links between aspects of facial appearance and personality.     

The Effect of Image Pixelation on Unfamiliar‐Face Matching

Low‐resolution, pixelated images from closed‐circuit television (CCTV) can be used to compare the perpetrators of crime with high‐resolution photographs of potential suspects. The current study investigated the accuracy of person identification under these conditions, by comparing high‐resolution and pixelated photographs of unfamiliar faces in a series of matching tasks. Performance decreased gradually with different levels of pixelation and was close to chance with a horizontal image resolution of only 8 pixels per face (Experiment 1). Matching accuracy could be improved by reducing the size of pixelated faces (Experiment 2) or by varying the size of the to‐be‐compared‐with high‐resolution face image (Experiment 3). In addition, pixelation produced effects that appear to be separable from other factors that might affect matching performance, such as changes in face view (Experiment 4). These findings reaffirm that criminal identifications from CCTV must be treated with caution and provide some basic estimates for identification accuracy with different pixelation levels. This study also highlights potential methods for improving performance in this task. Copyright © 2013 John Wiley & Sons, Ltd.     

Effects of Image Preprocessing on Face Matching and Recognition in Human Observers

In person identification, recognition failure due to variations of illumination is common. In this study, we employed image‐processing techniques to tackle this problem. Participants performed recognition and matching tasks where the face stimuli were either original images or computer‐processed images in which shading was weakened via a number of image‐processing techniques. The results show that whereas recognition accuracy in a memory task was unaffected, some of the techniques significantly improved the identification performance in a face‐matching task. We conclude that relative to long‐term face memory, face matching is more susceptible to discrepancy of shading in different images of a face. Reducing the discrepancy by certain preprocessing techniques can facilitate person identification when original face images contain large illumination differences. Copyright © 2013 John Wiley & Sons, Ltd.