2020
DOI: 10.31234/osf.io/tvga4
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Active exploration of faces in police lineups increases discrimination accuracy

Abstract:

Eyewitness identifications play a key role in the justice system, but eyewitnesses make errors, often with profound consequences. Errors are more likely when the witness is of a different race to the suspect, due to a phenomenon called the Own Race Bias (ORB). ORB is characterized as an encoding-based deficit, but has been predominantly tested using static photographs of people facing the camera. We used findings from basic science and innovative technologies to develop and test whether a novel interactive … Show more

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Cited by 3 publications
(3 citation statements)
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References 64 publications
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“…Further, we found in two experiments, one conducted in lab and the other online, that interactive lineups boost discrimination accuracy over static frontal pose lineups, increasing the correct identification of guilty suspects by 18% 42 .…”
Section: Discussionmentioning
confidence: 90%
“…Further, we found in two experiments, one conducted in lab and the other online, that interactive lineups boost discrimination accuracy over static frontal pose lineups, increasing the correct identification of guilty suspects by 18% 42 .…”
Section: Discussionmentioning
confidence: 90%
“…For unfamiliar faces, studies generally support the notion that matching a single photo to an array or to a composite image leads to better performance than matching to a different single photo (e.g., White, Burton, et al, 2014). Recent work suggests that using interactive lineups (i.e., lineups that allow for different angles of a face to be viewed) leads to more correct identifications than when using lineups comprised of only still images (Colloff, Flowe, et al, 2020; Colloff, Seale-Carlisle, et al, 2020; Smith et al, 2020). Allowing observers to manipulate the angle from which a lineup is viewed can be thought of as a means to become familiar with the systematic variability in faces.…”
Section: Discussionmentioning
confidence: 99%
“…Such a procedure will not only confer some of the benefits of familiar face processing but will also enable the operator to manoeuvre comparison faces into the same viewpoint, reducing within‐person variability across images. The procedure has been successfully employed in face memory tasks, with higher discrimination accuracy observed in an interactive line‐up compared to a line‐up composed of static images of faces, which is commonly used by US police (Colloff, Flowe, et al., 2020; Colloff, Seale‐Carlisle, et al., 2020).…”
Section: Introductionmentioning
confidence: 99%