Differences In Facial Recognition Research Articles

The Oxytocin Receptor Gene (OXTR) and Face Recognition

A recent study has linked individual differences in face recognition to rs237887, a single-nucleotide polymorphism (SNP) of the oxytocin receptor gene (OXTR; Skuse et al., 2014). In that study, participants were assessed using the Warrington Recognition Memory Test for Faces, but performance on Warrington’s test has been shown not to rely purely on face recognition processes. We administered the widely used Cambridge Face Memory Test—a purer test of face recognition—to 370 participants. Performance was not significantly associated with rs237887, with 16 other SNPs of OXTR that we genotyped, or with a further 75 imputed SNPs. We also administered three other tests of face processing (the Mooney Face Test, the Glasgow Face Matching Test, and the Composite Face Test), but performance was never significantly associated with rs237887 or with any of the other genotyped or imputed SNPs, after corrections for multiple testing. In addition, we found no associations between OXTR and Autism-Spectrum Quotient scores.

Effective Connectivity from Early Visual Cortex to Posterior Occipitotemporal Face Areas Supports Face Selectivity and Predicts Developmental Prosopagnosia.

Areas of the human brain showing enhanced activation to faces compared to other objects or places have been extensively studied. However, the factors leading to this face selectively have remained mostly unknown. We show that effective connectivity from early visual cortex to posterior occipitotemporal face areas gives rise to face selectivity. Furthermore, people with developmental prosopagnosia, a lifelong face recognition impairment, have reduced face selectivity in the posterior occipitotemporal face areas and left anterior temporal lobe. We show that this reduced face selectivity can be predicted by effective connectivity from early visual cortex to posterior occipitotemporal face areas. This study presents the first network-based account of how face selectivity arises in the human brain.

Facial emotion recognition in a sample of psychotic depressives from Anambra state Nigeria

The abilities to produce and recognize facial expressions of affects are important components of interpersonal communication in humans and primates. The present study was on facial affect (emotion) recognitions in psychotic depressives. Similar studies in the past had focused on schizophrenic group and depressed without psychotic features group. Forty two participants (21 psychotic depressives [PDP] and 21 normal controls [NC]) recruited from the community rehabilitation center and the department of psychology, Madonna University respectively, all in Anambra state controlling for gender were used for the study. Eight pairs of computer generated adult human faces showing emotions of happiness, sadness, anger, surprise, shame, excitement, fear and shy were used to examine the groups on their recognition abilities of the emotions. Gender differences in responses were also studied while age was controlled through covariance method. Between group design was used for the study while multiple analysis of covariate (MANCOVA) was used for data analysis. The findings showed no significant differences between the groups on the recognitions of emotions studied except emotions of shame, excitement and shy. Similarly, gender differences were found on the recognitions of emotions of anger and sadness. Part of the study did not support some previous studies that significant differences existed between psychiatric groups and normal controls on the recognition of basic emotions, although part of the study supported the findings on differences in secondary emotions between psychiatric groups and normal controls. Conversely, the present findings supported recent studies on gender differences in face recognition irrespective of groups. Further studies are needed to understand the differences between basic and secondary emotions in psychiatric patients that accounted for the major contributions of the study.

Individual differences in face processing captured by ERPs

A rapid neural adaptation procedure and Event Related Potentials (ERPs) were employed to study individual differences in Good and Bad recognizers in face perception. The major goal was to characterize the sensitivity of the P100 and the N170 to the identity repetition effect as a function of inter-individual perceptual abilities. For these purposes an integrated methodological approach was used in which a self-report, a standardized test and behavioral performances were combined with ERPs measures. Specifically, two groups of face recognizers (Good and Bad recognizers) were selected by means of a self-report questionnaire on face recognition abilities (The Italian Face Abilities Questionnaire) and the scoring at the Cambridge Face Memory Test.The P100 showed an early neural tuning for faces in Good recognizers. The N170 triggered by the adaptor showed face specificity compared to cars but, importantly, only Good recognizers showed a decreased amplitude of N170 for test faces of the same identity compared to test faces of different identity while this was not the case for Bad recognizers. These results show that ERPs are a suitable and sensitive tool to tap individual differences in face recognition. In conclusion, our results show the importance of considering inter-individual different perceptual abilities in face processing research.

Orienting to face expression during encoding improves men's recognition of own gender faces

It is unclear why women have superior episodic memory of faces, but the benefit may be partially the result of women engaging in superior processing of facial expressions. Therefore, we hypothesized that orienting instructions to attend to facial expression at encoding would significantly improve men's memory of faces and possibly reduce gender differences. We directed 203 college students (122 women) to study 120 faces under instructions to orient to either the person's gender or their emotional expression. They later took a recognition test of these faces by either judging whether they had previously studied the same person or that person with the exact same expression; the latter test evaluated recollection of specific facial details. Orienting to facial expressions during encoding significantly improved men's recognition of own-gender faces and eliminated the advantage that women had for male faces under gender orienting instructions. Although gender differences in spontaneous strategy use when orienting to faces cannot fully account for gender differences in face recognition, orienting men to facial expression during encoding is one way to significantly improve their episodic memory for male faces.

The relative importance of heads, bodies, and movement to person recognition across development

Children have been shown to be worse at face recognition than adults even into their early teens. However, there is debate about whether this is due to face-specific mechanisms or general perceptual and memory development. Here, we considered a slightly different option—that children use different cues to recognition. To test this, we showed 8-year-olds, 10-year-olds, and adults whole body, head only, and body only stimuli that were either moving or static. These were shown in two tasks, a match-to-sample task with unfamiliar people and a learning task, to test recognition of experimentally familiar people. On the match-to-sample task, children were worse overall, but the pattern of results was the same for each age group. Matching was best with all cues or head available, and there was no effect of movement. However, matching was generally slower with moving stimuli, and 8-year-olds, but not 10-year-olds, were slower than adults. In general, more cues were faster than heads or bodies alone, but 8-year-olds were surprisingly slow when still bodies were shown alone. On the learning task, again all age groups showed similar patterns, with better performance for all cues. Both 8- and 10-year-olds were more likely to say that they knew someone unfamiliar. Again, movement did not provide a clear advantage. Overall, this study suggests that any differences in face recognition between adults and children are not due to differences in cue use and that instead these results are consistent with general improvements in memory.

The Vanderbilt holistic face processing test: a short and reliable measure of holistic face processing.

Efforts to understand individual differences in high-level vision necessitate the development of measures that have sufficient reliability, which is generally not a concern in group studies. Holistic processing is central to research on face recognition and, more recently, to the study of individual differences in this area. However, recent work has shown that the most popular measure of holistic processing, the composite task, has low reliability. This is particularly problematic for the recent surge in interest in studying individual differences in face recognition. Here, we developed and validated a new measure of holistic face processing specifically for use in individual-differences studies. It avoids some of the pitfalls of the standard composite design and capitalizes on the idea that trial variability allows for better traction on reliability. Across four experiments, we refine this test and demonstrate its reliability.

Reliability of composite-task measurements of holistic face processing.

There is growing interest in the study of individual differences in face recognition, including one of its hallmarks, holistic processing, which can be defined as a failure of selective attention to parts. These efforts demand that researchers be aware of, and try to maximize, the reliability of their measurements. Here we report on the reliability of measurements using the composite task (complete design), a measure of holistic processing that has been shown to have relatively good validity. Several studies have used the composite task to investigate individual differences, yet only one study has discussed its reliability. We investigate the reliability of composite-task measurements in eight data sets from five different samples of subjects. In general, we found reliability to be fairly low, but there was substantial variability across experiments. Researchers should keep in mind that reliability is a property of measurements, not of a task, and think about the ways in which measurements in a particular task may be improved before embarking on individual differences research.

Females Scan More Than Males

Recognition-memory tests reveal individual differences in episodic memory; however, by themselves, these tests provide little information regarding the stage (or stages) in memory processing at which differences are manifested. We used eye-tracking technology, together with a recognition paradigm, to achieve a more detailed analysis of visual processing during encoding and retrieval. Although this approach may be useful for assessing differences in memory across many different populations, we focused on sex differences in face memory. Females outperformed males on recognition-memory tests, and this advantage was directly related to females’ scanning behavior at encoding. Moreover, additional exposures to the faces reduced sex differences in face recognition, which suggests that males may be able to improve their recognition memory by extracting more information at encoding through increased scanning. A strategy of increased scanning at encoding may prove to be a simple way to enhance memory performance in other populations with memory impairment.

Red, Green, Blue, Red, Argh! A Missing Shift in Processing: The Stroop Task Does Not Affect Facial Recognition

The transfer-inappropriate processing shift is one explanation for the verbal overshadowing effect: a phenomenon that prevents accurate face recognition following a verbal description of that same face. Rather than examining a shift from configural to featural processing, this experiment investigated whether a shift from automatic to controlled processing could have similar deleterious effects on facial recognition. Automatic, and controlled, processing were induced using a computer-based Stroop task. Participants ( n = 288) processed the font colour, or word reading conditions of the Stroop task; afterwards, their facial recognition was tested. Even though the Stroop effect did occur, the differences in facial recognition between participants who responded to the automatic condition and participants who responded to the controlled condition of the Stroop task did not differ significantly. The results suggest that the processing shift from configural to featural processing, which is induced by the Navon letters, would better explain the verbal overshadowing effect than the processing modes underlying the Stroop task.

The Vanderbilt Expertise Test reveals domain-general and domain-specific sex effects in object recognition

Individual differences in face recognition are often contrasted with differences in object recognition using a single object category. Likewise, individual differences in perceptual expertise for a given object domain have typically been measured relative to only a single category baseline. In Experiment 1, we present a new test of object recognition, the Vanderbilt Expertise Test (VET), which is comparable in methods to the Cambridge Face Memory Task (CFMT) but uses eight different object categories. Principal component analysis reveals that the underlying structure of the VET can be largely explained by two independent factors, which demonstrate good reliability and capture interesting sex differences inherent in the VET structure. In Experiment 2, we show how the VET can be used to separate domain-specific from domain-general contributions to a standard measure of perceptual expertise. While domain-specific contributions are found for car matching for both men and women and for plane matching in men, women in this sample appear to use more domain-general strategies to match planes. In Experiment 3, we use the VET to demonstrate that holistic processing of faces predicts face recognition independently of general object recognition ability, which has a sex-specific contribution to face recognition. Overall, the results suggest that the VET is a reliable and valid measure of object recognition abilities and can measure both domain-general skills and domain-specific expertise, which were both found to depend on the sex of observers.

Gender differences in face recognition: A behavioral and ERP study

The present study examined gender differences in face recognition using the “learning-recognition” paradigm in conjunction with behavioral and event-related potential (ERP) analysis. The results revealed four major findings: (1) Female faces were easier to remember than male faces, and females remembered more faces than males. (2) We observed a familiarity effect at 170 ms after stimulus onset (NI70), with larger amplitudes in response to familiar faces, indicating that the N170 can be modulated by familiarity. (3) Enhanced N170 amplitude was observed for female faces, possibly because the female faces involved more changeable features, meaning that recognition entailed a greater cognitive load. Enhanced P2 amplitude was observed in response to male faces, possibly because the male faces involved less changeable features, meaning that they were more difficult to recognize and required deeper processing. (4) Increased P1 amplitude was exhibited in response to familiar compared to unfamiliar faces by females, but not by males. This result suggests that females processed the familiarity of faces earlier than males. In addition, differences in P2 and N250 amplitude were observed between familiar and unfamiliar faces in females. The familiar/unfamiliar effect in females was associated with a broader area of scalp activation, compared to males. Taken together, our electrophysiological findings suggested that females possess superior face recognition ability.

Sex differences in unfamiliar face identification: Evidence from matching tasks

Research on sex differences in face recognition has reported mixed results, on balance suggesting an advantage for female observers. However, it is not clear whether this advantage is specific to face processing or reflects a more general superiority effect in episodic memory. The current study therefore examined sex differences with a face-matching task that eliminates memory demands. Across two experiments, female but not male observers showed an own-sex advantage on match trials, in which two pictures have to be identified as the same person. This advantage was present for whole faces and when only the internal or external facial features were shown. Female observers were also more accurate in these three conditions on mismatch encounters, in which two photographs have to be identified as different people, but this reflects a more general effect that is present for male and female faces. These findings converge with claims of a female advantage in face recognition and demonstrate that this effect persists when memory demands are eliminated.

AUTOASSOCIATIVE MEMORY CELLULAR NEURAL NETWORKS

An autoassociative memory is a device which accepts an input pattern and generates an output as the stored pattern which is most closely associated with the input. In this paper, we propose an autoassociative memory cellular neural network, which consists of one-dimensional cells with spatial derivative inputs, thresholds and memories. Computer simulations show that it exhibits good performance in face recognition: The network can retrieve the whole from a part of a face image, and can reproduce a clear version of a face image from a noisy one. For human memory, research on "visual illusions" and on "brain damaged visual perception", such as the Thatcher illusion, the hemispatial neglect syndrome, the split-brain, and the hemispheric differences in recognition of faces, has fundamental importance. We simulate them in this paper using an autoassociative memory cellular neural network. Furthermore, we generate many composite face images with spurious patterns by applying genetic algorithms to this network. We also simulate a morphing between two faces using autoassociative memory.

Social information processing in children and adolescents with neurofibromatosis type 1

To examine social information processing in children and adolescents with neurofibromatosis type 1 (NF1). Thirty-two children with NF1 (12 males, 20 females; mean age 12y 4mo, SD 4y) and 32 comparison children (12 males, 20 females; mean age 13y 1mo, SD 3y 11mo) completed face recognition, identification of facial emotions (IFE), and matching facial emotions (MFE) tasks. A series of general linear model analyses of variance were used to compare performance between children with NF1 and comparison children. Children with NF1 performed less accurately than comparison children in the face recognition task when faces were presented 'in profile' (p=0.05), when fearful expressions had to be identified in IFE (p=0.017), and across conditions in MFE (p=0.009). When quality of cognitive control (i.e. mean standardized scores on tasks measuring working memory and inhibitory control) was introduced to the analyses, differences in face recognition were no longer significant and differences in MFE were largely reduced (p=0.048). Differences in IFE between the comparison group and children with NF1 remained largely intact (fear: p=0.047). Children with NF1 have problems in social information processing, which, in part, appear to be caused by cognitive control deficits. Some of the deficits, however, appear to be caused by deficient bottom-up processing of social signals (e.g. fear recognition).

The effect of age on memory for emotional faces.

Prior studies of emotion suggest that young adults should have enhanced memory for negative faces and that this enhancement should be reduced in older adults. Several studies have not shown these effects but were conducted with procedures different from those used with other emotional stimuli. In this study, researchers examined age differences in recognition of faces with emotional or neutral expressions, using trial-unique stimuli, as is typically done with other types of emotional stimuli. They also assessed the influence of personality traits and mood on memory. Enhanced recognition for negative faces was found in young adults but not in older adults. Recognition of faces was not influenced by mood or personality traits in young adults, but lower levels of extraversion and better emotional sensitivity predicted better negative face memory in older adults. These results suggest that negative expressions enhance memory for faces in young adults, as negative valence enhances memory for words and scenes. This enhancement is absent in older adults, but memory for emotional faces is modulated in older adults by personality traits that are relevant to emotional processing.

Higher face recognition ability in girls: Magnified by own-sex and own-ethnicity bias

Earlier studies on adults have shown sex differences in face recognition. Women tend to recognise more faces of other women than men do, whereas there are no sex differences with regard to male faces. In order to test the generality of earlier findings and to examine potential reasons for the observed pattern of sex differences, two groups of Swedish 9-year-old children (n = 101 and n = 96) viewed faces of either Swedish or Bangladeshi children and adults for later recognition. Results showed that girls outperformed boys in recognition of female faces, irrespective of ethnicity and age of the faces. Boys and girls recognised Swedish male faces to an equal extent, whereas girls recognised more Bangladeshi male faces than boys did. These results indicate that three factors explain the magnitude of sex differences in face recognition: an overall female superior face recognition ability, the correspondence between the sex of viewer and the gender of the face, and prior knowledge of the ethnicity of the face.

Sex differences in face recognition and influence of facial affect

To study sex differences in the recognition of human faces with different facial expressions, 65 female and 64 male participants learned to associate names with various male and female neutral faces. During the recall phase, participants were then asked to name the same persons depicting different emotional expressions (neutral, happy, angry, and fearful). Females were faster than males at naming male faces, and males were faster than females at naming female faces. All participants were faster at naming neutral or happy female faces than neural or happy male faces. These results suggest that opposite-sex faces require less processing time than same-sex faces, which is consistent with an evolutionary account.

Sex differences in face recognition—Women’s faces make the difference

Sex differences favoring women have been found in face recognition tasks as well as in verbal episodic memory tasks. Women’s higher face recognition performance was hypothesized to be related to either their higher verbal ability or to their superiority in recognizing female faces, rather than faces in general. Results showed that whereas there were no differences between men and women in the recognition of male faces, or in verbal ability, women performed at a higher level than men in the recognition of female faces. Verbal ability did not influence women’s face recognition performance. Potential explanations for this pattern of data, such as sex differences in interest and prior knowledge, are discussed.

Sex Differences in Episodic Memory: The Influence of Intelligence

The influence of estimated intelligence (group assessment of WAIS-R S) on sex differences in face recognition, as well as verbal and non-verbal episodic memory tasks was examined in 99 women and 88 men between 20 and 40 years of age. Results showed that men performed at a higher level than women on the WAIS-R S subtest Information, whereas the opposite was true for Digit symbol. Women performed at a higher level than men on the verbal episodic memory tasks and on face recognition, but there were no sex differences on the non-verbal episodic memory task. Estimated intelligence for both men and women was positively associated with most episodic memory measures, the exception being face recognition in women. In face recognition, there was no association to estimated intelligence, suggesting that face recognition performance in women is unrelated to several basic cognitive processes.