Differences In Face Recognition Ability Research Articles

How do face processing strategies and eye-movements contribute to individual differences in face recognition ability?

How do face processing strategies and eye-movements contribute to individual differences in face recognition ability?

Holistic and featural processing’s link to face recognition varies by individual and task

While it is generally accepted that holistic processing facilitates face recognition, recent studies suggest that poor recognition might also arise from imprecise perception of local features in the face. This study aimed to examine to what extent holistic and featural processing relates to individual differences in face recognition ability (FRA), during face learning (Experiment 1) and face recognition (Experiment 2). Participants performed two tasks: (1) The “Cambridge Face Memory Test-Chinese” which measured participants’ FRAs, and (2) an “old/new recognition memory test” encompassing whole faces (preserving holistic and featural processing) and faces revealed through a dynamic aperture (impairing holistic processing but preserving featural processing). Our results showed that participants recognised faces more accurately in conditions when holistic information was preserved, than when it is impaired. We also show that the better use of holistic processing during face learning and face recognition was associated with better FRAs. However, enhanced featural processing during recognition, but not during learning, was related to better FRAs. Together, our findings demonstrate that good face recognition depends on distinct roles played by holistic and featural processing at different stages of face recognition.

Diversity of aphantasia revealed by multiple assessments of visual imagery, multisensory imagery, and cognitive style.

Aphantasia-a condition wherein individuals have a reduced or absent construction of voluntary visual imagery-is diagnosed using either the Vividness of Visual Imagery Questionnaire (VVIQ) or self-identification. However, a significant discrepancy exists between the proportions of aphantasia in the populations assessed using these two criteria. It is unclear why the reported proportions differ excessively and what percentage of people cannot form visual imagery. We investigated the replicability of the proportion of people with aphantasia using both criteria in the same population of participants. Therefore, we explored the potential causes of the discrepancy and characteristics of putative aphantasia in terms of multisensory imagery, cognitive style, and face recognition ability. First, we conducted an online sampling study (Study 1: N = 2,871) using the VVIQ, self-identification of a reduction in visual imagery, Questionnaire upon Mental Imagery (QMI), and Verbalizer-Visualizer Questionnaire (VVQ). We found that 3.7 and 12.1% fulfilled the VVIQ and self-identification criteria, respectively, roughly replicating the proportions reported in previous studies. The self-identification criterion-but not the VVIQ criterion-contains items related to face recognition; hence, we suspected that face recognition ability was factor contributing to this discrepancy and conducted another online sampling study (Study 2: N = 774). We found a significant correlation between VVIQ and face recognition ability in the control group with self-identification, but not in the group defined by low VVIQ (VVIQ ≤32). As the participants in the control group with self-identification tended to exhibit moderately high VVIQ scores but low face recognition ability, we reason that the discrepancy can be partially explained by the contamination of individual differences in face recognition ability. Additional analyses of Study 1 revealed that the aphantasia group included participants who lacked all types of sensory imagery or only visual imagery in multisensory imagery and exhibited a non-specific cognitive style. This study indicates that the VVIQ alone may be insufficient to diagnose individuals who report an inability to form visual imagery. Furthermore, we highlight the importance of multiple assessments-along with the VVIQ-to better understand the diversity of imagery in aphantasia.

Face-Information Sampling in Super-Recognizers

Perceptual processes underlying individual differences in face-recognition ability remain poorly understood. We compared visual sampling of 37 adult super-recognizers—individuals with superior face-recognition ability—with that of 68 typical adult viewers by measuring gaze position as they learned and recognized unfamiliar faces. In both phases, participants viewed faces through “spotlight” apertures that varied in size, with face information restricted in real time around their point of fixation. We found higher accuracy in super-recognizers at all aperture sizes—showing that their superiority does not rely on global sampling of face information but is also evident when they are forced to adopt piecemeal sampling. Additionally, super-recognizers made more fixations, focused less on eye region, and distributed their gaze more than typical viewers. These differences were most apparent when learning faces and were consistent with trends we observed across the broader ability spectrum, suggesting that they are reflective of factors that vary dimensionally in the broader population.

Face masks versus sunglasses: limited effects of time and individual differences in the ability to judge facial identity and social traits

Some research indicates that face masks impair identification and other judgements such as trustworthiness. However, it is unclear whether those effects have abated over time as individuals adjust to widespread use of masks, or whether performance is related to individual differences in face recognition ability. This study examined the effect of masks and sunglasses on face matching and social judgements (trustworthiness, competence, attractiveness). In Experiment 1, 135 participants across three different time points (June 2020–July 2021) viewed unedited faces and faces with masks, sunglasses, or both. Both masks and sunglasses similarly decreased matching performance. The effect of masks on social judgements varied depending on the judgement and whether the face was depicted with sunglasses. There was no effect of timepoint on any measure, suggesting that the effects of masks have not diminished. In Experiment 2, 12 individuals with developmental prosopagnosia (DP) and 10 super-recognisers (SRs) completed the same tasks. The effect of masks on identity matching was reduced in SRs, whereas the effects of masks and sunglasses for the DP group did not differ from controls. These findings indicate that face masks significantly affect face perception, depending on the availability of other facial information, and are not modified by exposure.

When two fields collide: Identifying "super-recognisers" for neuropsychological and forensic face recognition research.

In the last decade, a novel individual differences approach has emerged across the face recognition literature. While the field has long been concerned with prosopagnosia (the inability to recognise facial identity), it has more recently become clear that there are vast differences in face recognition ability within the typical population. “Super-recognisers” are those individuals purported to reside at the very top of this spectrum. On one hand, these people are of interest to cognitive neuropsychologists who are motivated to explore the commonality of the face recognition continuum, whereas on the other hand, researchers from the forensic face matching field evaluate the implementation of super-recognisers into real-world police and security settings. These two rather different approaches have led to discrepancies in the definition of super-recognisers, and perhaps more fundamentally, the approach to identifying them, resulting in a lack of consistency that prohibits theoretical progress. Here, we review the protocols used in published work to identify super-recognisers, and propose a common definition and screening recommendations that can be adhered to across fields.

Birthweight predicts individual differences in adult face recognition ability.

It has long been known that premature birth and/or low birthweight can lead to general difficulties in cognitive and emotional functioning throughout childhood. However, the influence of these factors on more specific processes has seldom been addressed, despite their potential to account for wide individual differences in performance that often appear innate. Here, we examined the influence of gestation and birthweight on adults' face perception and face memory skills. Performance on both sub-processes was predicted by birthweight and birthweight-for-gestation, but not gestation alone. Evidence was also found for the domain-specificity of these effects: No perinatal measure correlated with performance on object perception or memory tasks, but they were related to the size of the face inversion effect on the perceptual test. This evidence indicates a novel, very early influence on individual differences in face recognition ability, which persists into adulthood, influences face-processing strategy itself, and may be domain-specific.

Stark Individual Differences: Face Recognition Ability Influences the Relationship Between Confidence and Accuracy in a Recognition Test of Game of Thrones Actors

Growing evidence suggests face identifications made with high confidence are typically accurate ( Wixted & Wells, 2017 ). However, few studies capture the complexities of real-world face recognition (e.g., non-experimental setting, varied contexts). Moreover, individual differences in face recognition ability may moderate the confidence-accuracy relationship ( Grabman, Dobolyi, Berelovich, & Dodson, 2019 ). In this study, we reanalyzed data from 32 participants who watched six seasons of the television show Game of Thrones for entertainment as the series aired ( Devue, Wride, & Grimshaw, 2019 ). Participants provided confidence ratings on a 168-item old-new recognition test of actors and completed a standard test of face recognition ability. Highest confidence ratings were remarkably accurate – even considering retention-intervals of >3 years and large changes in appearance. However, confidence was generally a better indicator of accuracy for stronger, as compared to weaker, face recognizers.

Age-differential relationships among dopamine D1 binding potential, fusiform BOLD signal, and face-recognition performance

Facial recognition ability declines in adult aging, but the neural basis for this decline remains unknown. Cortical areas involved in face recognition exhibit lower dopamine (DA) receptor availability and lower blood-oxygen-level-dependent (BOLD) signal during task performance with advancing adult age. We hypothesized that changes in the relationship between these two neural systems are related to age differences in face-recognition ability. To test this hypothesis, we leveraged positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) to measure D1 receptor binding potential (BPND) and BOLD signal during face-recognition performance. Twenty younger and 20 older participants performed a face-recognition task during fMRI scanning. Face recognition accuracy was lower in older than in younger adults, as were D1 BPND and BOLD signal across the brain. Using linear regression, significant relationships between DA and BOLD were found in both age-groups in face-processing regions. Interestingly, although the relationship was positive in younger adults, it was negative in older adults (i.e., as D1 BPND decreased, BOLD signal increased). Ratios of BOLD:D1 BPND were calculated and relationships to face-recognition performance were tested. Multiple linear regression revealed a significant Group × BOLD:D1 BPND Ratio interaction. These results suggest that, in the healthy system, synchrony between neurotransmitter (DA) and hemodynamic (BOLD) systems optimizes the level of BOLD activation evoked for a given DA input (i.e., the gain parameter of the DA input-neural activation function), facilitating task performance. In the aged system, however, desynchronization between these brain systems would reduce the gain parameter of this function, adversely impacting task performance and contributing to reduced face recognition in older adults.

Size doesn't matter. It's the quality of people's social networks that predicts individual differences in face recognition ability.

Size doesn't matter. It's the quality of people's social networks that predicts individual differences in face recognition ability.

Greater reliance on the eye region predicts better face recognition ability

Interest in using individual differences in face recognition ability to better understand the perceptual and cognitive mechanisms supporting face processing has grown substantially in recent years. The goal of this study was to determine how varying levels of face recognition ability are linked to changes in visual information extraction strategies in an identity recognition task. To address this question, fifty participants completed six tasks measuring face and object processing abilities. Using the Bubbles method (Gosselin & Schyns, 2001), we also measured each individual’s use of visual information in face recognition. At the group level, our results replicate previous findings demonstrating the importance of the eye region for face identification. More importantly, we show that face processing ability is related to a systematic increase in the use of the eye area, especially the left eye from the observer’s perspective. Indeed, our results suggest that the use of this region accounts for approximately 20% of the variance in face processing ability. These results support the idea that individual differences in face processing are at least partially related to the perceptual extraction strategy used during face identification.

Normal composite face effects in developmental prosopagnosia

Upright face perception is thought to involve holistic processing, whereby local features are integrated into a unified whole. Consistent with this view, the top half of one face appears to fuse perceptually with the bottom half of another, when aligned spatially and presented upright. This ‘composite face effect’ reveals a tendency to integrate information from disparate regions when faces are presented canonically. In recent years, the relationship between susceptibility to the composite effect and face recognition ability has received extensive attention both in participants with normal face recognition and participants with developmental prosopagnosia. Previous results suggest that individuals with developmental prosopagnosia may show reduced susceptibility to the effect suggestive of diminished holistic face processing. Here we describe two studies that examine whether developmental prosopagnosia is associated with reduced composite face effects. Despite using independent samples of developmental prosopagnosics and different composite procedures, we find no evidence for reduced composite face effects. The experiments yielded similar results; highly significant composite effects in both prosopagnosic groups that were similar in magnitude to the effects found in participants with normal face processing. The composite face effects exhibited by both samples and the controls were greatly diminished when stimulus arrangements were inverted. Our finding that the whole-face binding process indexed by the composite effect is intact in developmental prosopagnosia indicates that other factors are responsible for developmental prosopagnosia. These results are also inconsistent with suggestions that susceptibility to the composite face effect and face recognition ability are tightly linked. While the holistic process revealed by the composite face effect may be necessary for typical face perception, it is not sufficient; individual differences in face recognition ability likely reflect variability in multiple sequential processes.

FACE RECOGNITION PECULIARITIES OF DIFFERENT AGE PEOPLE IN A LITHUANIAN SAMPLE

Background. The paper presents empirical data and analyses biological and psychological face recognition aspects. The function of face recognition is particularly important in the process of social interaction. Despite the experience acquired in everyday face recognition, the ability to recognize faces weakens with aging. The issue of face recognition is not completely new on a worldwide scale, however, researchers present conflicting results and raise new questions about this phenomenon. What is more, in Lithuania, research on face recognition is developed not enough. It motivated us to initiate this study as well as data from researches carried out in other countries that found cultural differences in the processing of facial information (Blais et al., 2008). For example, adults from China showed a disposition to process informa- tion holistically, whereas individuals from Britain – to process information analytically (Kelly et al., 2011). Purpose. The aims of the research were: 1) to determine at what age people recognize faces best and when this ability starts worsening; 2) to determine the differences in face recognition ability among different age groups. Method. The experiment was carried out. The methodology of the research was based on the similar type of research (Germine, Duchaine, Nakayama, 2011; Hay, Cox, 2000; Tanaka, Farah, 1993). 80 black-and-white photographs depicting people of different ages were presented to the research participants for recognition. Results and conclusions. The research results revealed that the ability to recognize faces reaches its optimal level in the interval of 20–35 years of age. The comparison between different age groups showed that young adults (20–35 years old) better than adolescents (11–18 years old) and senior adults (56–75 years old) memorized and rec- ognized faces of different age people they had already seen.

Differences in Face Recognition Ability Predicts Patterns of Holistic Face Processing in Children

Differences in Face Recognition Ability Predicts Patterns of Holistic Face Processing in Children

Individual differences in adaptive coding of face identity are linked to individual differences in face recognition ability.

Despite their similarity as visual patterns, we can discriminate and recognize many thousands of faces. This expertise has been linked to 2 coding mechanisms: holistic integration of information across the face and adaptive coding of face identity using norms tuned by experience. Recently, individual differences in face recognition ability have been discovered and linked to differences in holistic coding. Here we show that they are also linked to individual differences in adaptive coding of face identity, measured using face identity aftereffects. Identity aftereffects correlated significantly with several measures of face-selective recognition ability. They also correlated marginally with own-race face recognition ability, suggesting a role for adaptive coding in the well-known other-race effect. More generally, these results highlight the important functional role of adaptive face-coding mechanisms in face expertise, taking us beyond the traditional focus on holistic coding mechanisms.

Supplemental Material for Individual Differences in Adaptive Coding of Face Identity Are Linked to Individual Differences in Face Recognition Ability

Supplemental Material for Individual Differences in Adaptive Coding of Face Identity Are Linked to Individual Differences in Face Recognition Ability

Face Aftereffects Predict Individual Differences in Face Recognition Ability

Face aftereffects are widely studied on the assumption that they provide a useful tool for investigating face-space coding of identity. However, a long-standing issue concerns the extent to which face aftereffects originate in face-level processes as opposed to earlier stages of visual processing. For example, some recent studies failed to find atypical face aftereffects in individuals with clinically poor face recognition. We show that in individuals within the normal range of face recognition abilities, there is an association between face memory ability and a figural face aftereffect that is argued to reflect the steepness of broadband-opponent neural response functions in underlying face-space. We further show that this correlation arises from face-level processing, by reporting results of tests of nonface memory and nonface aftereffects. We conclude that face aftereffects can tap high-level face-space, and that face-space coding differs in quality between individuals and contributes to face recognition ability.

A study of the face recognition ability of orthodontists and lay persons of different age groups

To determine the face recognition ability of orthodontists and lay persons of different age groups. Cross-sectional study design, in which participants completed a 'Face Recognition Test'. Participants were recruited from the Royal London Hospital, Ashford Hospital, Southend University Hospital and the British Orthodontic Society Conference, 2006. Colour photographs and 3D laser scans of eight volunteers were displayed and participants were asked to match the photographs of each face with the corresponding laser scan within 90 seconds. Participants consisted of 85 orthodontists under 50 years of age, 83 adolescents aged 15-18 years, 85 younger lay adults aged 19-49 years and 83 older lay adults aged 50-70 years. Female orthodontists were more successful in the face recognition test than female lay persons (P≤0·001) and were four times more successful than the male orthodontists (P = 0·003). There were no differences in face recognition ability between males and females in the lay persons groups (P = 0·970) or between male orthodontists and male lay persons (P = 0·240). When comparing age groups, no significant difference in successfully completing the face recognition test was detected between the adolescent, adult and older adult age groups (P = 0·070). Overall, our understanding of facial recognition is limited and the mechanisms by which lay people perceive and recognise other faces are important for the orthodontist to consider.