Perceptual Expertise of Forensic Examiners and Reviewers on Tests of Cross-Race and Disguised Face Identification and Face Memory.

Forensic facial professionals have been shown in previous studies to identify people from frontal face images more accurately than untrained participants when given 30 s per face pair. We tested whether this superiority holds in more challenging conditions. Two groups of forensic facial professionals (examiners, reviewers) and untrained participants were tested in three lab-based tasks: other-race face identification, disguised face identification, and face memory.

Face identification proficiency test designed using item response theory.

Measures of face-identification proficiency are essential to ensure accurate and consistent performance by professional forensic face examiners and others who perform face-identification tasks in applied scenarios. Current proficiency tests rely on static sets of stimulus items and so cannot be administered validly to the same individual multiple times. To create a proficiency test, a large number of items of "known" difficulty must be assembled.

Forensic facial examiners versus super-recognizers: Evaluating behavior beyond accuracy.

We evaluated the detailed, behavioral properties of face matching performance in two specialist groups: forensic facial examiners and super-recognizers. Both groups compare faces to determine identity with high accuracy and outperform the general population. Typically, facial examiners are highly trained; super-recognizers rely on natural ability.

Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms.

Achieving the upper limits of face identification accuracy in forensic applications can minimize errors that have profound social and personal consequences. Although forensic examiners identify faces in these applications, systematic tests of their accuracy are rare. How can we achieve the most accurate face identification: using people and/or machines working alone or in collaboration? In a comprehensive comparison of face identification by humans and computers, we found that forensic facial examiners, facial reviewers, and superrecognizers were more accurate than fingerprint examiners and students on a challenging face identification test.

Wisdom of the social versus non-social crowd in face identification.

Face identification is more accurate when people collaborate in social dyads than when they work alone (Dowsett & Burton, 2015, Br. J. Psychol.

Recognizing approaching walkers: Neural decoding of person familiarity in cortical areas responsive to faces, bodies, and biological motion.

In natural viewing environments, we recognize other people as they move through the world. Behavioral studies indicate that the face, body, and gait all contribute to recognition. We examined the neural basis of person recognition using a decoding approach aimed at discriminating the patterns of neural activity elicited in response to seeing visually familiar versus unfamiliar people in motion.

Creating Body Shapes From Verbal Descriptions by Linking Similarity Spaces.

Brief verbal descriptions of people's bodies (e.g., "curvy," "long-legged") can elicit vivid mental images.

Perceptual expertise in forensic facial image comparison.

Forensic facial identification examiners are required to match the identity of faces in images that vary substantially, owing to changes in viewing conditions and in a person's appearance. These identifications affect the course and outcome of criminal investigations and convictions. Despite calls for research on sources of human error in forensic examination, existing scientific knowledge of face matching accuracy is based, almost exclusively, on people without formal training.

Dissecting the time course of person recognition in natural viewing environments.

Person recognition often unfolds over time and distance as a person approaches, with the quality of identity information from faces, bodies, and motion in constant flux. Participants were familiarized with identities using close-up and distant videos. Recognition was tested with videos of people approaching from a distance.