Jack of all trades, master of one: domain-specific and domain-general contributions to perceptual expertise in visual comparison.

Perceptual expertise is typically domain-specific and rarely generalises beyond an expert's domain of experience. Forensic feature-comparison examiners outperform the norm in domain-specific visual comparison, but emerging research suggests that they show advantages on other similar tasks outside their domain of expertise. For example, fingerprint examiners not only outperform novices in fingerprint comparison, but also in face comparison.

Understanding 'error' in the forensic sciences: A primer.

This paper distils seven key lessons about 'error' from a collaborative webinar series between practitioners at Victoria Police Forensic Services Department and academics. It aims to provide the common understanding of error necessary to foster interdisciplinary dialogue, collaboration and research. The lessons underscore the inevitability, complexity and subjectivity of error, as well as opportunities for learning and growth.

Diverse types of expertise in facial recognition.

Facial recognition errors can jeopardize national security, criminal justice, public safety and civil rights. Here, we compare the most accurate humans and facial recognition technology in a detailed lab-based evaluation and international proficiency test for forensic scientists involving 27 forensic departments from 14 countries. We find striking cognitive and perceptual diversity between naturally skilled super-recognizers, trained forensic examiners and deep neural networks, despite them achieving equivalent accuracy.

Selecting police super-recognisers.

People vary in their ability to recognise faces. These individual differences are consistent over time, heritable and associated with brain anatomy. This implies that face identity processing can be improved in applied settings by selecting high performers-'super-recognisers' (SRs)-but these selection processes are rarely available for scientific scrutiny.

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.

Looking at faces in the wild.

Faces are key to everyday social interactions, but our understanding of social attention is based on experiments that present images of faces on computer screens. Advances in wearable eye-tracking devices now enable studies in unconstrained natural settings but this approach has been limited by manual coding of fixations. Here we introduce an automatic 'dynamic region of interest' approach that registers eye-fixations to bodies and faces seen while a participant moves through the environment.

Let's talk about faces: Identifying faces from verbal descriptions.

Face descriptions inform real-world identification decisions, for example when eyewitnesses describe criminal perpetrators. However, it is unclear how effective face descriptions are for identification. Here, we examined the accuracy of face identification from verbal descriptions, and how individual differences in face perception relate to producing and using descriptions for identification.

The low prevalence effect in fingerprint comparison amongst forensic science trainees and novices.

The low prevalence effect is a phenomenon whereby target prevalence affects performance in visual search (e.g., baggage screening) and comparison (e.

Statistical feature training improves fingerprint-matching accuracy in novices and professional fingerprint examiners.

Forensic science practitioners compare visual evidence samples (e.g. fingerprints) and decide if they originate from the same person or different people (i.

Masked face identification is improved by diagnostic feature training.

To slow the spread of COVID-19, many people now wear face masks in public. Face masks impair our ability to identify faces, which can cause problems for professional staff who identify offenders or members of the public. Here, we investigate whether performance on a masked face matching task can be improved by training participants to compare diagnostic facial features (the ears and facial marks)-a validated training method that improves matching performance for unmasked faces.

Diagnostic feature training improves face matching accuracy.

Identifying unfamiliar faces is surprisingly error-prone, even for experienced professionals who perform this task regularly. Previous attempts to train this ability have been largely unsuccessful, leading many to conclude that face identity processing is hard-wired and not amenable to further perceptual learning. Here, we take a novel expert knowledge elicitation approach to training, based on the feature-based comparison strategy used by high-performing professional facial examiners.

UNSW Face Test: A screening tool for super-recognizers.

We present a new test-the UNSW Face Test (www.unswfacetest.com)-that has been specifically designed to screen for super-recognizers in large online cohorts and is available free for scientific use.

Hyper-realistic Face Masks in a Live Passport-Checking Task.

Hyper-realistic face masks have been used as disguises in at least one border crossing and in numerous criminal cases. Experimental tests using these masks have shown that viewers accept them as real faces under a range of conditions. Here, we tested mask detection in a live identity verification task.

Do professional facial image comparison training courses work?

Facial image comparison practitioners compare images of unfamiliar faces and decide whether or not they show the same person. Given the importance of these decisions for national security and criminal investigations, practitioners attend training courses to improve their face identification ability. However, these courses have not been empirically validated so it is unknown if they improve accuracy.

Warning Signs of Partner Abuse in Intimate Relationships: Gender Differences in Young Adults' Perceptions of Seriousness.

In response to the high rates of intimate partner abuse (IPA) among young adults and related negative health effects, this study examined 18- to 26-year-old Australians' perceptions of unhealthy partner behaviors that may constitute early warning signs of abuse in intimate relationships. This research is the first to examine gender differences on this issue in a young adult population. A convenience sample of 49 males and 152 females ( = 201) completed an online survey, rating how seriously they viewed a list of partner warning sign behaviors (WSBs).

Familiarity and Within-Person Facial Variability: The Importance of the Internal and External Features.

As faces become familiar, we come to rely more on their internal features for recognition and matching tasks. Here, we assess whether this same pattern is also observed for a card sorting task. Participants sorted photos showing either the full face, only the internal features, or only the external features into multiple piles, one pile per identity.

Thinking forensics: Cognitive science for forensic practitioners.

Human factors and their implications for forensic science have attracted increasing levels of interest across criminal justice communities in recent years. Initial interest centred on cognitive biases, but has since expanded such that knowledge from psychology and cognitive science is slowly infiltrating forensic practices more broadly. This article highlights a series of important findings and insights of relevance to forensic practitioners.

Evaluating the feature comparison strategy for forensic face identification.

Face recognition is thought to rely on representations that encode holistic properties. Paradoxically, professional forensic examiners who identify unfamiliar faces by comparing facial images are trained to adopt a feature-by-feature comparison strategy. Here we tested the effectiveness of this strategy by asking participants to rate facial feature similarity prior to making same/different identity decisions to pairs of face images.

From whence cometh their strength: social support, coping, and well-being of Black women professionals.

In the workplace, Black women encounter different job demands than their White counterparts and often experience less control. Demand-control theory offers a framework to examine the challenges Black women face as well as how factors such as coping strategies and social support can moderate levels of well-being. In this study we examined the impact of Black women's social support and coping strategies on job-family role strain, career satisfaction, and life satisfaction.

Evaluating training methods for facial image comparison: the face shape strategy does not work.

Human performance on unfamiliar face matching is known to be highly error prone. However, in organisations where staff are required to perform this task as part of their daily work, attempts are often made to mitigate risk by providing training. Importantly, the methods used in these training courses have not been subjected to empirical validation.