Multiple images captured from a single encounter do not promote face learning.

Viewing multiple images of a newly encountered face improves recognition of that identity in new instances. Studies examining face learning have presented high-variability (HV) images that incorporate changes that occur from moment-to-moment (e.g., head orientation and expression) and over time (e.g., lighting, hairstyle, and health). We examined whether low-variability (LV) images (i.e., images that incorporate only moment-to-moment changes) also promote generalisation of learning such that novel instances are recognised. Participants viewed a single image, six LV images, or six HV images of a target identity before being asked to recognise novel images of that identity in a face matching task (training stimuli remained visible) or a memory task (training stimuli were removed). In Experiment 1 (n = 71), participants indicated which image(s) in 8-image arrays belonged to the target identity. In Experiment 2 (n = 73), participants indicated whether sequentially presented images belonged to the target identity. Relative to the single-image condition, sensitivity to identity improved and response biases were less conservative in the HV condition; we found no evidence of generalisation of learning in the LV condition regardless of testing protocol. Our findings suggest that day-to-day variability in appearance plays an essential role in acquiring expertise with a novel face.

The novel object-matching test (NOM Test): A psychometric measure of visual comparison ability.

This paper presents a new test of object-matching ability: the Novel Object-Matching Test (NOM Test). Object-matching (or visual comparison) is a complex cognitive and perceptual visual comparison task undertaken by forensic scientists - yet no openly available, standardised and psychometrically validated test of object-matching ability exists. This is in contrast to other visual comparison domains like face-matching where many tests are widely available. In this paper, we present the development and psychometric validation of the first openly available object-matching test where people view two complex artificial visual patterns side-by-side and decide if they are from the same source or different sources. We provide normative data and psychometric properties for two long-form and two short-form versions of the test, and two additional versions designed to identify high and low-performers. We also provide evidence of discriminant validity and convergent validity that demonstrates the NOM Test correlates strongly with other object-matching tasks like fingerprint-matching - but not other tasks requiring cognitive-perceptual skill (e.g., visual intelligence). The NOM Test is free for research use with acknowledgment and is available at https://osf.io/pv6ye/ .

Deep learning models challenge the prevailing assumption that face-like effects for objects of expertise support domain-general mechanisms.

The question of whether task performance is best achieved by domain-specific, or domain-general processing mechanisms is fundemental for both artificial and biological systems. This question has generated a fierce debate in the study of expert object recognition. Because humans are experts in face recognition, face-like neural and cognitive effects for objects of expertise were considered support for domain-general mechanisms. However, effects of domain, experience and level of categorization, are confounded in human studies, which may lead to erroneous inferences. To overcome these limitations, we trained deep learning algorithms on different domains (objects, faces, birds) and levels of categorization (basic, sub-ordinate, individual), matched for amount of experience. Like humans, the models generated a larger inversion effect for faces than for objects. Importantly, a face-like inversion effect was found for individual-based categorization of non-faces (birds) but only in a network specialized for that domain. Thus, contrary to prevalent assumptions, face-like effects for objects of expertise do not support domain-general mechanisms but may originate from domain-specific mechanisms. More generally, we show how deep learning algorithms can be used to dissociate factors that are inherently confounded in the natural environment of biological organisms to test hypotheses about their isolated contributions to cognition and behaviour.

Faces, English words and Chinese characters: a study of dual-task interference in mono-and bilingual speakers.

The many-to-many hypothesis suggests that face and visual-word processing tasks share neural resources in the brain, even though they show opposing hemispheric asymmetries in neuroimaging and neuropsychologic studies. Recently it has been suggested that both stimulus and task effects need to be incorporated into the hypothesis. A recent study found dual-task interference between face and text functions that lateralized to the same hemisphere, but not when they lateralized to different hemispheres. However, it is not clear whether a lack of interference between word and face recognition would occur for other languages, particularly those with a morpho-syllabic script, like Chinese, for which there is some evidence of greater right hemispheric involvement. Here, we used the same technique to probe for dual-task interference between English text, Chinese characters and face recognition. We tested 20 subjects monolingual for English and 20 subjects bilingual for Chinese and English. We replicated the prior result for English text and showed similar results for Chinese text with no evidence of interference with faces. We also did not find interference between Chinese and English text. The results support a view in which reading English words, reading Chinese characters and face identification have minimal sharing of neural resources.

GFMT2: A psychometric measure of face matching ability.

We present an expanded version of a widely used measure of unfamiliar face matching ability, the Glasgow Face Matching Test (GFMT). The GFMT2 is created using the same source database as the original test but makes five key improvements. First, the test items include variation in head angle, pose, expression and subject-to-camera distance, making the new test more difficult and more representative of challenges in everyday face identification tasks. Second, short and long versions of the test each contain two forms that are calibrated to be of equal difficulty, allowing repeat tests to be performed to examine effects of training interventions. Third, the short-form tests contain no repeating face identities, thereby removing any confounding effects of familiarity that may have been present in the original test. Fourth, separate short versions are created to target exceptionally high performing or exceptionally low performing individuals using established psychometric principles. Fifth, all tests are implemented in an executable program, allowing them to be administered automatically. All tests are available free for scientific use via www.gfmt2.org .

A reliable and valid tool for measuring visual recognition ability with musical notation.

Recognizing musical notation is an important skill to a full participation of Western classical music, but remains a largely under-researched topic in the psychology of music. One plausible reason of such omission is that, in the past, the research field has heavily relied on self-report of music reading ability, which was subjective and highly variable. This paper presents a reliable and valid tool for objectively measuring individual abilities in visual recognition of musical notation. The visual fluency task measures how fast one can accurately recognize a sequence of musical notation at a desired accuracy level using the adaptive psychometric method QUEST. We checked the reliability of this task in over 200 participants in terms of Guttman's λ-2 and Cronbach's alpha. Also, we evaluated the construct validity of this task by considering the convergent validity of this task with multiple external real-world measures of one's musical training background, with numerous experimental measures of visual tendencies of musical notation recognition and with sight-reading performance. Overall, the visual fluency task achieved satisfactory reliability and validity for measuring abilities in recognizing musical notation. This opens the door for characterizing the cognitive mechanisms, development, and individual differences in musical notation recognition, for understanding music learning and music psychology and for understanding of visual perceptual expertise in general.

Neural and behavioral effects of subordinate-level training of novel objects across manipulations of color and spatial frequency.

Perceptual expertise is marked by subordinate-level recognition of objects in the expert domain. In this study, participants learned one family of full-color, artificial objects at the subordinate (species) level and another family at the basic (family) level. Discrimination of trained and untrained exemplars was tested before and after training across several image manipulations [full-color, grayscale, low spatial frequency (LSF) and high spatial frequency (HSF)] while event-related potentials (ERPs) were recorded. Regardless of image manipulation, discrimination (indexed by d') of trained and of untrained exemplars was enhanced after subordinate-level training, but not after basic-level training. Enhanced discrimination after subordinate-level training generalized to untrained exemplars and to grayscale images and images in which LSF or HSF information was removed. After training, the N170 and N250, recorded over occipital and occipitotemporal brain regions, were both more enhanced after subordinate-level training than after basic-level training. However, the topographic distribution of enhanced responses differed across components. The N170 latency predicted reaction time after both basic-level training and subordinate-level training, highlighting an association between behavioral and neural responses. These findings further elucidate the role of the N170 and N250 as ERP indices of subordinate-level expert object processing and demonstrate how low-level manipulations of color and spatial frequency impact behavior and the N170 and N250 components independent of training or expertise.

A developmental investigation of the other-race categorization advantage in a multiracial population: Contrasting social categorization and perceptual expertise accounts.

Most prior studies of the other-race categorization advantage have been conducted in predominantly monoracial societies. This limitation has left open the question of whether tendencies to more rapidly and accurately categorize other-race faces reflect social categorization (own-race vs. other-race) or perceptual expertise (frequent exposure vs. infrequent exposure). To address this question, we tested Malay and Malaysian Chinese children (9- and 10-year-olds) and adults on (a) own-race faces (i.e., Malay faces for Malay participants and Chinese faces for Malaysian Chinese participants), (b) high-frequency other-race faces (i.e., Chinese faces for Malay participants and Malay faces for Malaysian Chinese participants), and (c) low-frequency other-race faces (i.e., Caucasian faces). Whereas the other-race categorization advantage was in evidence in the accuracy data of Malay adults, other aspects of performance were supportive of either the social categorization or perceptual expertise accounts and were dependent on the race (Malay vs. Chinese) or age (child vs. adult) of the participants. Of particular significance is the finding that Malaysian Chinese children and adults categorized own-race Chinese faces more rapidly than high-frequency other-race Malay faces. Thus, in accord with a perceptual expertise account, the other-race categorization advantage seems to be more an advantage for racial categories of lesser experience regardless of whether these face categories are own-race or other-race.

Distinguishing experts from novices by the Mind's Hand and Mind's Eye.

Tetris is a complex task notable for the increasingly substantial demands it makes on perception, decision-making, and action as the game is played. To investigate these issues, we collected data on 39 features of Tetris play for each Tetris zoid (piece), for up to 16 levels of difficulty, as each of 240 players played an hour of Tetris under laboratory conditions. Using only early (level 1) data, we conducted a Principle Component Analysis which found intriguing differences among its three, statistically significant, principle components. Each of these components captures different combinations of perception, decision-making, and action which suggests differing higher level skills, tactics, and strategies. Each component is presented and discussed, and then used in a series of principle component regression analyses on subsets of these data (a) from different Tetris levels, as well as (b) from players of different levels of expertise. We validate these models with data collected at a locally held Tetris tournament. These components represent elements of expertise; namely, correlations among perceptual, decision-making, and motor features that represent processing stages and hierarchical control and which distinguish expert from novice Tetris players. These components provide evidence for an integrated complex of processes - the Mind's Hand and the Mind's Eye - that are the essence of expertise in the real-time, sequential-decision-making task of Tetris.

Inversion Impairs Expert Budgerigar Identity Recognition: A Face-Like Effect for a Nonface Object of Expertise.

The face-inversion effect is the finding that picture-plane inversion disproportionately impairs face recognition compared to object recognition and is now attributed to greater orientation-sensitivity of holistic processing for faces but not common objects. Yet, expert dog judges have showed similar recognition deficits for inverted dogs and inverted faces, suggesting that holistic processing is not specific to faces but to the expert recognition of perceptually similar objects. Although processing changes in expert object recognition have since been extensively documented, no other studies have observed the distinct recognition deficits for inverted objects-of-expertise that people as face experts show for faces. However, few studies have examined experts who recognize individual objects similar to how people recognize individual faces. Here we tested experts who recognize individual budgerigar birds. The effect of inversion on viewpoint-invariant budgerigar and face recognition was compared for experts and novices. Consistent with the face-inversion effect, novices showed recognition deficits for inverted faces but not for inverted budgerigars. By contrast, experts showed equal recognition deficits for inverted faces and budgerigars. The results are consistent with the hypothesis that processes underlying the face-inversion effect are specific to the expert individuation of perceptually similar objects.

Of Kith and Kin: Perceptual Enrichment, Expectancy, and Reciprocity in Face Perception.

Race powerfully affects perceivers' responses to faces, promoting biases in attention, classification, and memory. To account for these diverse effects, we propose a model that integrates social cognitive work with two prominent accounts of visual processing: perceptual learning and predictive coding. Our argument is that differential experience with a racial ingroup promotes both (a) perceptual enrichment, including richer, more well-integrated visual representations of ingroup relative to outgroup faces, and (b) expectancies that ingroup faces are normative, which influence subsequent visual processing. By allowing for "top-down" expectancy-based processes, this model accounts for both experience- and non-experience-based influences, such as motivation, context, and task instructions. Fundamentally, we suggest that we treat race as an important psychological dimension because it structures our social environment, which in turn structures mental representation.

Domain-specific reports of visual imagery vividness are not related to perceptual expertise.

Just as people vary in their perceptual expertise with a given domain, they also vary in their abilities to imagine objects. Visual imagery and perception share common mechanisms. However, it is unclear whether domain-specific expertise is relevant to visual imagery. Although the vividness of visual imagery is typically measured as a domain-general construct, a component of this vividness may be domain-specific. For example, individuals who have gained perceptual expertise with a specific domain might experience clearer mental images within this domain. Here we investigated whether perceptual expertise for cars relates to visual imagery vividness in the same domain, by assessing the correlations between a widely used domain-general measure of visual imagery vividness (the Vividness of Visual Imagery Questionnaire; Marks in British Journal of Psychology, 64, 17-24, 1973), a new measure of visual imagery vividness specific to cars, and behavioral tests of car expertise. We found that domain-specific imagery relates most strongly to general imagery vividness and less strongly to self-reported expertise, while it does not relate to perceptual or semantic expertise.

Eyeglasses elicit effects similar to face-like perceptual expertise: evidence from the N170 response.

Studies of event-related potentials show that the specific N170 response has become a stable electrophysiological hallmark of objects related to expertise in early perceptual processing. In the present study, we investigated whether eyeglasses can elicit N170 effects similar to those elicited by objects of expertise. Our results showed that the N170 response elicited by eyeglasses was larger than the response elicited by objects that do not generate perceptual expertise (e.g., houses). Importantly, we found that eyeglasses could produce a within-category N170 adaptation effect, similar to that produced in response to objects of expertise (e.g., faces). Our results have revealed for the first time that with a large amount of experience, eyeglasses could evoke the face-like N170 response, which suggested that eyeglasses may become an object of perceptual expertise to some human observers.

Human Action Perception is Consistent, Flexible, and Orientation Dependent.

Previous research has found that observers of object-directed human action pay more attention to information regarding hand contact over information regarding spatial trajectories in action, and that processing of trajectory information is disrupted by inversion. However, observers can also flexibly modulate their attention to spatial trajectory depending on the goal or context of the actor. In Experiments 1(a) and 1b of the current research, we directly compared attention with hand and trajectory information across placing and dropping actions in order to determine whether the hand bias is always present or whether flexibility in action perception can attenuate this bias. Results demonstrated that observers attend more to hand information for placing, but attend equally to hand and trajectory information for dropping. Experiment 2 explored the role of the actor's goal in processing spatial trajectory for mimed dropping actions and non-human control stimuli, and the role of goals in the inversion effect. Results indicated that goal relevance increases processing of trajectory information, and that processing of all spatial trajectories in human action is disrupted by inversion, regardless of the actor's goal. The present findings highlight the role of prediction in action perception, and suggest that human action is processed with expertise.

Judging Normality and Attractiveness in Faces: Direct Evidence of a More Refined Representation for Own-Race, Young Adult Faces.

Young and older adults are more sensitive to deviations from normality in young than older adult faces, suggesting that the dimensions of face space are optimized for young adult faces. Here, we extend these findings to own-race faces and provide converging evidence using an attractiveness rating task. In Experiment 1, Caucasian and Chinese adults were shown own- and other-race face pairs; one member was undistorted and the other had compressed or expanded features. Participants indicated which member of each pair was more normal (a task that requires referencing a norm) and which was more expanded (a task that simply requires discrimination). Participants showed an own-race advantage in the normality task but not the discrimination task. In Experiment 2, participants rated the facial attractiveness of own- and other-race faces (Experiment 2a) or young and older adult faces (Experiment 2b). Between-rater variability in ratings of individual faces was higher for other-race and older adult faces; reduced consensus in attractiveness judgments reflects a less refined face space. Collectively, these results provide direct evidence that the dimensions of face space are optimized for own-race and young adult faces, which may underlie face race- and age-based deficits in recognition.

Bias in perceptual learning.

Perceptual learning is commonly understood as conferring some benefit to the learner, such as allowing for the extraction of more information from the environment. However, perceptual learning can be biased in several different ways, some of which do not appear to provide such a benefit. Here we outline a systematic framework for thinking about bias in perceptual learning and discuss how several cases fit into this framework. We argue these biases are compatible with an understanding in which perceptual learning is beneficial, but that its benefits are tied to both a person's narrow interests and the training environment or domain, and so if there are changes to either of these, then benefits can turn into liabilities, though these are often temporary. This article is categorized under: Psychology > Learning Philosophy > Value Linguistics > Language Acquisition.

Understanding the mechanisms underlying the other-'race' effect: An attempt at integrating different perspectives.

Although different human races do not exist from the perspective of biology and genetics, ascribed 'race' influences psychological processing, such as memory and perception of faces. Research from this Special Issue, as well as a wealth of previous research, shows that other-'race' faces are more difficult to recognize compared to own-'race' faces, a phenomenon known as the other-'race' effect. Theories of expertise attribute the cause of the other-'race' effect to less efficient visual representations of other-'race' faces, which results from reduced visual expertise with other-'race' faces compared to own-'race' faces due to limited contact with individuals from other 'racial' groups. By contrast, social-cognitive accounts attribute the cause of the other-'race' effect to reduced motivation to individuate other-'race' faces compared to own-'race' faces. Evidence for both types of theories is still mixed, but progress in understanding the phenomenon has also been hampered by the fact that there has been little crosstalk between these accounts, which tend to be rooted in separate domains of experimental perception science and social psychology, respectively. To promote an integrative perspective on current knowledge on own- versus other-'race' face processing, the present Special Issue bridges different psychological subdisciplines, showcasing research using a large variety of methodological approaches and measures. In this guest editorial, we briefly highlight individual contributions to this Special Issue and offer what we see as important avenues for future research on the other-'race' effect.

The culture of perceptual expertise and the other-race effect.

In our commentary, we propose that the ORE can be viewed as a form of perceptual expertise. Like experts, we recognize own-race faces at the subordinate level as individuals and novices when recognize other-race faces at the basic level of race. Applying a perceptual expertise account, we explain the ORE in terms of its cognitive, neural, and motivational factors. We suggest that by creating a culture of "other-race" expertise, improvements in other-race face recognition can be achieved.

Evaluating the effectiveness of different perceptual training methods in a difficult visual discrimination task with ultrasound images.

Recent work has shown that perceptual training can be used to improve the performance of novices in real-world visual classification tasks with medical images, but it is unclear which perceptual training methods are the most effective, especially for difficult medical image discrimination tasks. We investigated several different perceptual training methods with medically naïve participants in a difficult radiology task: identifying the degree of hepatic steatosis (fatty infiltration of the liver) in liver ultrasound images. In Experiment 1a (N = 90), participants completed four sessions of standard perceptual training, and participants in Experiment 1b (N = 71) completed four sessions of comparison training. There was a significant post-training improvement for both types of training, although performance was better when the trained task aligned with the task participants were tested on. In both experiments, performance initially improves rapidly, with learning becoming more gradual after the first training session. In Experiment 2 (N = 200), we explored the hypothesis that performance could be improved by combining perceptual training with explicit annotated feedback presented in a stepwise fashion. Although participants improved in all training conditions, performance was similar regardless of whether participants were given annotations, or underwent training in a stepwise fashion, both, or neither. Overall, we found that perceptual training can rapidly improve performance on a difficult radiology task, albeit not to a comparable level as expert performance, and that similar levels of performance were achieved across the perceptual training paradigms we compared.

The invisible 800-pound gorilla: expertise can increase inattentional blindness.

People can fail to notice objects and events in their visual environment when their attention is engaged elsewhere. This phenomenon is known as inattentional blindness, and its consequences can be costly for important real-world decisions. However, not noticing certain visual information could also signal expertise in a domain. In this study, we compared professional fingerprint analysts and novices on a fingerprint matching task in which we covertly placed an image of a gorilla into one of the prints. This gorilla was either small, or large, but always embedded in a way that made it largely irrelevant to the primary task. We found that analysts were more likely than the novices to miss the large gorilla. We interpret this finding not as a flaw in how these experts make decisions, but most likely an expression of their expertise; instead of processing more information they filter out irrelevant information and constrain their attention to what is important.