Face Recognition Ability Research Articles

Does social network quality influence facial recognition abilities in emerging adults?

Does social network quality influence facial recognition abilities in emerging adults?

Assessing individual differences in face recognition: No impact of task design features on the structure of this ability.

The ability to remember faces is essential for everyday life, with deficits indicative of some neurological conditions. Face recognition ability tasks vary considerably in their design (i.e., use of the same or a different picture for learning and recall and inclusion or exclusion of nonface characteristics), which is known to impact performance levels. However, it is unknown whether these design features cause additional cognitive abilities to be assessed. We preregistered three hypotheses, namely performance on face recognition tasks can best be explained by: (Hypothesis 1) a single general face recognition ability; (Hypothesis 2) a general face recognition ability and an unrelated ability representing one's capacity to ignore external information when recognizing faces; and (Hypothesis 3) a general face recognition ability, a separable unrelated ability to ignore external information, and a third unrelated ability representing one's capacity to recognize faces specifically when different photographs of the same individual are used. During a controlled laboratory session, N = 176 adults (Mage = 25.52 years) completed 16 face recognition tasks that comprised different versions of the aforementioned task designs. With confirmatory factor analysis, we found support for Hypothesis 1, indicating that the rank order of participants regarding their face recognition ability does not meaningfully differ due to the different task designs, indicating additional abilities are not needed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Face recognition abilities of a long-term missing female child missing for 14 years

Face recognition abilities of a long-term missing female child missing for 14 years

Mask-wearing selectivity alters observers’ face perception

Face masks became prevalent across the globe as an efficient tool to stop the spread of COVID-19. A host of studies already demonstrated that masks lead to changes in facial identification and emotional expression processing. These changes were documented across ages and were consistent even with the increased exposure to masked faces. Notably, mask-wearing also changes the state of the observers in regard to their own bodies and other agents. Previous research has already demonstrated a plausible association between observers’ states and their perceptual behaviors. Thus, an outstanding question is whether mask-wearing would alter face recognition abilities. To address this question, we conducted a set of experiments in which participants were asked to recognize non-masked faces (Experiment 1), masked faces (Experiment 2) and novel objects (Experiment 3) while they were either masked or unmasked. Mask wearing hindered face perception abilities but did not modulate object recognition ability. Finally, we demonstrated that the decrement in face perception ability relied on wearing the mask on distinctive facial features (Experiment 4). Together, these findings reveal a novel effect of mask-wearing on face recognition. We discuss these results considering the plausible effect of somatosensory stimulation on visual processing as well as the effect of involuntary perspective taking.

The Impact of Sleep on Face Recognition Memory: A Scoping Review.

Sleep has a major impact on a variety of human biological and cognitive functions. In particular, its impact on memory has attracted extensive research and has been amply demonstrated. However, it is still unclear whether sleep, or lack thereof, affects the ability to recognize faces. To clarify this, we conducted a scoping review on studies that included a face recognition memory task and any kind of sleep manipulation in adults without any sleep pathology. A systematic search and synthesis of peer-reviewed journal articles identified through the electronic databases Scopus, Web of Science, EBSCO, and PubMed was performed. A final sample of 18 articles, corresponding to 19 studies, met the eligibility criteria. The results of 13 articles suggested that sleep benefited face recognition ability, whereas two articles indicated a detrimental effect of sleep on performance, and four articles found no significant effects. This review highlights the high methodological variability between studies, in terms of sleep manipulation, retention interval, tasks used to probe face recognition, and other variables. In sum, although around one third of the studies show a beneficial effect of sleep on memory for faces, we suggest that future research should invest in replicating these findings with a stricter control of potentially confounding variables to allow stronger conclusions to be drawn.

A patient with persistent prosopagnosia after right posterior cerebral artery territorial infarction

Prosopagnosia is a specific form of visual agnosia that impairs the ability to recognise familiar faces. Prosopagnosia is typically considered for bilateral ventro-occipitotemporal lesions involving the fusiform face area. A 72-year-old right-handed woman presented with persistent inability to recognise familiar faces after cerebral infarction. Brain magnetic resonance imaging demonstrated infarction in the right medial occipital lobe, including the lingual and fusiform gyri. She showed decreased facial recognition abilities in a face recognition test consisting of famous Koreans. This case suggests that there can be individual-specific degrees of hemispheric dominance for face processing, and unilateral right occipitotemporal lesion is sufficient to produce persistent prosopagnosia.

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.

Preference for horizontal information in faces predicts typical variations in face recognition but is not impaired in developmental prosopagnosia

Face recognition is strongly influenced by the processing of orientation structure in the face image. Faces are much easier to recognize when they are filtered to include only horizontally oriented information compared with vertically oriented information. Here, we investigate whether preferences for horizontal information in faces are related to face recognition abilities in a typical sample (Experiment 1), and whether such preferences are lacking in people with developmental prosopagnosia (DP; Experiment 2). Experiment 1 shows that preferences for horizontal face information are linked to face recognition abilities in a typical sample, with weak evidence of face-selective contributions. Experiment 2 shows that preferences for horizontal face information are comparable in control and DP groups. Our study suggests that preferences for horizontal face information are related to variations in face recognition abilities in the typical range, and that these preferences are not aberrant in DP.

Supplemental Material for Face Value? How Jurors Evaluate Eyewitness Face Recognition Ability

Supplemental Material for Face Value? How Jurors Evaluate Eyewitness Face Recognition Ability

The language of accurate and inaccurate eyewitnesses.

This article uses machine-learning techniques to examine people's use of verbal expressions of confidence. Across the field of academic psychology, it is often assumed that such statements reflect the same underlying information as numeric confidence ratings. We show that verbal confidence is not redundant with numeric confidence but instead contributes unique diagnostic value in predicting the accuracy of a response. We use eyewitness confidence in a lineup identification as our model paradigm. There is potentially great applied value in developing a machine-learning algorithm that can predict eyewitness identification accuracy, such as by reducing false convictions. To this end, we applied a machine-learning methodology to investigate the natural language of accurate and inaccurate eyewitnesses. This method revealed that verbal confidence statements provide rich diagnostic information about the likely accuracy of eyewitness identifications. Moreover, verbal confidence statements provide unique diagnostic information that traditional indicators of identification accuracy such as numeric confidence ratings and response times do not provide. However, the diagnostic value of an eyewitness confidence statement depends in part on the face recognition ability of the eyewitness: The natural language of strong face recognizers is more diagnostic than the natural language of weak face recognizers. These results are theoretically interesting but, from an applied perspective, this machine-learning methodology may prove useful to those in the criminal justice system who must evaluate eyewitnesses' verbal confidence statements. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Not so fast! Response times in the computerized Benton Face Recognition Test may not reflect face recognition ability

ABSTRACT Response times (RTs) are commonly used to assess cognitive abilities, though it is unclear whether face processing RTs predict recognition ability beyond accuracy. In the current study, we examined accuracy and RT on a widely used face matching assessment modified to collect meaningful RT data, the computerized Benton Facial Recognition Test (BFRT-c), and measured whether RTs predicted face recognition ability and developmental prosopagnosia (DP) vs. control group membership. 62 controls and 36 DPs performed the BFRT-c as well as validated measures of face recognition ability: the Cambridge Face Memory Test (CFMT) and a Famous Faces Memory Test (FFMT). In controls, BFRT-c accuracy robustly predicted CFMT (r = .49, p < .001), FFMT (r = .43, p < .001), and a CFMT-FFMT composite (r = .54, p < .001), whereas BFRT-c RT was not significantly associated with these measures (all r's .21). We also found that BFRT-c accuracy significantly differed between DPs and controls, but RT failed to differentiate the groups.

Learning to Recognize Unfamiliar Voices: An Online Study With 12- and 24-Month-Olds.

Young infants are attuned to the indexical properties of speech: they can recognize highly familiar voices and distinguish them from unfamiliar voices. Less is known about how and when infants start to recognize unfamiliar voices, and to map them to faces. This skill is particularly challenging when portions of the speaker’s face are occluded, as is the case with masking. Here, we examined voice−face recognition abilities in infants 12 and 24 months of age. Using the online Lookit platform, children saw and heard four different speakers produce words with sonorous phonemes (high talker information), and words with phonemes that are less sonorous (low talker information). Infants aged 24 months, but not 12 months, were able to learn to link the voices to partially occluded faces of unfamiliar speakers, and only when the words were produced with high talker information. These results reveal that 24-month-old infants can encode and retrieve indexical properties of an unfamiliar speaker’s voice, and they can access this information even when visual access to the speaker’s mouth is blocked.

Evaluating the Reliability and Validity of the Famous Faces Doppelgangers Test, a Novel Measure of Familiar Face Recognition.

Face recognition assessments that use images of celebrities require not only face recognition ability but also pop-culture knowledge and successful recall of identifying information. Here, we introduce a task designed to measure face recognition more specifically: the Famous Faces Doppelgangers Test (FFDT). Participants (N = 57,407) identified 40 celebrities paired with lookalike doppelgangers, allowing face recognition ability to be assessed without requiring information recall. In addition, participants reported whether they were familiar with each celebrity, allowing poor face recognition ability to be differentiated from low pop-culture knowledge. FFDT performance was reliable (rxx = .80), similar across participants of different racial and ethnic groups, and more highly correlated with memory for faces (r = .50) and self-reported face recognition ability (r = .48) than processing speed ability (r = .10). Thus, the FFDT is a reliable, valid, and specific measure of the ability to identify familiar faces, making it a promising new tool for assessing face recognition ability.

Social avoidance motivation tendency linked to face processing ability among 6- to 12-year-old children

This study examined whether social motivation was associated with face recognition ability and holistic face processing strategy among typically developing children. One hundred and three 6- to 12-year-old children were instructed to complete the approach and avoidance task, which was adopted to measure social motivation tendency, as well as the recognition of face identity task and the part-whole task, which were used to assess children’s face recognition ability and holistic processing strategy, respectively. For social motivation, the result revealed that 6- to 7-year-old children showed a lower social approach tendency, whereas 8- to 11-year-old children did not show preferences for social pictures over nonsocial pictures. While a linear improvement in face recognition abilities was found from 6- to 11-year-old children, a plateau emerged in face recognition performance from age 10 to 11. In contrast to face holistic processing strategy, 10- to 11-year-old children tend to use a featural processing strategy for identifying facial features. Although the relationship between social motivation and face recognition was not moderated by children’s age, results revealed that high social avoidance tendency toward emotionally neutral and negative pictures significantly predicted faster face recognition after controlling for IQ of children, and high social avoidance tendency to neutral pictures significantly predicted faster eye identification. However, social motivation was not associated with holistic face processing. These findings highlight the importance of social motivation in the development of children’s face recognition abilities.

Do cognitive impairments limit treatment gains in a standalone digital intervention for psychosis? A test of the digital divide

Digital mental health interventions, such as those provided by smartphone applications (apps), show promise as cost-effective approaches to increasing access to evidence-based psychosocial interventions for psychosis. Although it is well known that limited financial resources can reduce the benefits of digital approaches to mental healthcare, the extent to which cognitive functioning in this population could impact capacity to engage in and benefit from these interventions is less studied. In the current study we examined the extent to which cognitive functioning (premorbid cognitive abilities and social cognition) were related to treatment engagement and outcome in a standalone digital intervention for social functioning. Premorbid cognitive abilities generally showed no association with aggregated treatment engagement markers, including proportion of notifications responded to and degree of interest in working on app content, though there was a small positive association with improvements in social functioning. Social cognition, as measured using facial affect recognition ability, was unrelated to treatment engagement or outcome. These preliminary findings suggest that cognitive functioning is generally not associated with engagement or outcomes in a standalone digital intervention designed for and with people with schizophrenia spectrum disorders.

Introducing the female Cambridge face memory test - long form (F-CFMT+).

The Cambridge Face Memory Test (CFMT) is one of the most used assessments of face recognition abilities in the science of face processing. The original task, using White male faces, has been empirically evaluated for psychometric properties (Duchaine & Nakayama, 2006), while the longer and more difficult version (CFMT+; Russell et al., 2009) has not. Critically, no version exists using female faces. Here, we present the Female Cambridge Face Memory Test – Long Form (F-CFMT+) and evaluate the psychometric properties of this task in comparison to the Male Cambridge Face Memory Test – Long Form (M-CFMT+). We tested typically developing emerging adults (18 to 25 years old) in both Cambridge face recognition tasks, an old-new face recognition task, and a car recognition task. Results indicate that the F-CFMT+ is a valid, internally consistent measure of unfamiliar face recognition that can be used alone or in tandem with the M-CFMT+ to assess recognition abilities for young adult White faces. When used together, performance on the F-CFMT+ and M-CFMT+ can be directly compared, adding to the ability to understand face recognition abilities for different kinds of faces. The two tasks have high convergent validity and relatively good divergent validity with car recognition in the same task paradigm. The F-CFMT+ will be useful to researchers interested in evaluating a broad range of questions about face recognition abilities in both typically developing individuals and those with atypical social information processing abilities.

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.

Face masks disrupt holistic processing and face perception in school-age children

Face perception is considered a remarkable visual ability in humans that is subject to a prolonged developmental trajectory. In response to the COVID-19 pandemic, mask-wearing has become mandatory for adults and children alike. Recent research shows that mask-wearing hinders face recognition abilities in adults, but it is unknown if the same holds true in school-age children in whom face perception is not fully developed. Here we tested children (n = 72, ages 6–14 years old) on the Cambridge Face Memory Test – Kids (CFMT-K), a validated measure of face perception performance. Faces were presented with or without masks and across two orientations (upright/inverted). The inclusion of face masks led to a profound deficit in face perception abilities. This decrement was more pronounced in children compared to adults, but only when task difficulty was adjusted across the two age groups. Additionally, children exhibited reliable correlations between age and the CFMT-K score for upright faces for both the mask and no-mask conditions. Finally, as previously observed in adults, children also showed qualitative differences in the processing of masked versus non-masked faces. Specifically, holistic processing, a hallmark of face perception, was disrupted for masked faces as suggested by a reduced face-inversion effect. Together, these findings provide evidence for substantial quantitative and qualitative alterations in the processing of masked faces in school-age children.

Emotional processing intervention (EMOPRINT): A blinded randomized control trial to treat facial affect recognition deficits in multiple sclerosis

ObjectiveFacial affect recognition deficits have been noted in persons with MS, however there is no treatment for these impairments. We investigated the efficacy of the Emotional Processing Intervention (EMOPRINT), a 12-session behavioral intervention teaching facial affect recognition skills and mimicry to improve facial affect recognition abilities in persons with MS. MethodsThis double blind, placebo-controlled, randomized clinical trial with two time points (pre-treatment; post-treatment) included 36 participants with clinically definite MS, 21 in the treatment group and 15 in the placebo control group. Participants completed a pre-test and post-test neuropsychological assessment, which consisted of tasks of facial affect recognition (primary outcome measure) and questionnaires to assess quality of life and emotional functioning (secondary outcome measures). We hypothesized that improvements in facial affect recognition skills would be observed following treatment. We also examined changes to quality of life and social functioning. Changes in outcome measures were analyzed using a mixed-method analysis of variance. ResultsThe treatment group showed significantly improved facial affect recognition skills relative to the placebo group post-treatment, F(1,34)=5.91, p=.022, partial ꞃ2=0.146. No significant change was noted on secondary outcomes. The majority of the participants in the intervention group reported that the intervention was helpful and that they used the skills learned in their daily interactions. ConclusionEMOPRINT is effective for improving facial affect recognition skills in MS.

Masked face recognition in patients with relapsing-remitting multiple sclerosis during the ongoing COVID-19 pandemic.

BackgroundFace and facial expression recognition abilities have been frequently evaluated in the assessment of social cognition disorders in patients with MS. Investigation of the effect of new difficulties emerging in the field of face recognition with the widespread use of masks during the ongoing COVID-19 pandemic on patients with MS may make new contributions to the literature.Material and methodsThe study included 44 patients with relapsing–remitting MS (RRMSp) and 51 controls who were matched to the case group in terms of age and education level. The Benton face recognition test-short form (BFRT-sf), Beck Depression Inventory, a close-ended 13-item survey on face recognition difficulties due to mask use during the pandemic was administered to all groups.ResultsIn the RRMSp, the mean disease duration was 8.2 ± 5.6, the mean EDSS score was 1.2 ± 1.0, and the mean MOCA test score was 27.23 ± 2.08. The mean BFRTsf was 19.9 ± 2.4 in the RRMSp and 21.6 ± 1.8 in the healthy controls.Twenty-five percent of RRMSp and 4% of the healthy controls required people to remove their masks to be able to recognize their faces. Improvement in face recognition difficulty over time was reported as 80% in the healthy controls and 34% in the RRMSp.ConclusionRRMSp had worse performance in masked face recognition and required removal of the facial masks more often than healthy controls to recognize the faces. RRMS patients did not show as much improvement in recognizing masked faces over time according to the onset of the pandemic as healthy controls.