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Face processing

How to accurately spot 'super-recognizers' of faces

Bate S, Frowd C, Bennetts R, et al. · Cognitive research: principles and implications · 2018

Open access · cc by · source: Europe PMC

Many people who excel at memorizing faces are not actually superior at matching unfamiliar faces or spotting them in crowds, meaning standard single-test screenings are insufficient.

Key findings

Only 37 of the self-referred individuals performed consistently in the superior range across multiple main tests, even though 89 qualified on the standard face memory test alone. Furthermore, only a single person outperformed controls on the crowd search task, which required spotting an artificial composite face among dozens of people. Performance on trials where a target face was present did not correlate with performance when the target was absent, with only five participants excelling at both.

Methodology

Researchers tested a group of 200 self-referred individuals who believed they had superior face-recognition abilities, alongside 40 control participants. Participants completed several online tasks: an established 102-point face memory test (CFMT+), a new 90-trial memory test using naturalistic images, a 48-trial pair matching test, and a 32-trial crowd search test using composite images. The researchers analyzed how consistently the self-referred individuals performed across these tests and whether their skills generalized across memory and matching.

Limitations

This study cannot establish whether super-recognition is a single, unified cognitive trait, as it revealed distinct profiles for matching and memory. It also cannot generalize these findings to non-Caucasian faces, since the sample was restricted to Caucasian participants to avoid own-race biases. Finally, because the crowd matching test relied on artificial composite faces rather than real photographs, the low performance may reflect difficulty with the composite generation process itself rather than crowd-searching skills.

How this study connects

Role on claims

Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.

  • Performance on target-present trials does not correlate with performance on target-absent trials, suggesting that detecting signals and rejecting noise rely on distinct processes.

    Evidence for the claim as stated.

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