In response to the COVID-19 pandemic, many governments around the world now
recommend, or require, that their citizens cover the lower half of their face in public …

This journal is dedicated to “use-inspired basic research” where a problem in the world
shapes the hypotheses for study in the laboratory. This review considers the role of …

Face recognition is used to prove identity across a wide variety of settings. Despite this,
research consistently shows that people are typically rather poor at matching faces to …

In recent years, wide deployment of automatic face recognition systems has been
accompanied by substantial gains in algorithm performance. However, benchmarking tests …

Forensic face matching refers to the comparison of pairs of faces for identification purposes,
and is ubiquitous in applied contexts such as passport control. Despite its widespread use, a …

This study presents the Kent Face Matching Test (KFMT), which comprises 200 same‐
identity and 20 different‐identity pairs of unfamiliar faces. Each face pair consists of a …

Photographic identity documents (IDs) are commonly used despite clear evidence that
unfamiliar face matching is a difficult and error-prone task. The current study set out to …

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 …

Matching unfamiliar faces is known to be difficult. Here, we ask whether performance can be
improved by asking viewers to work in pairs, a manipulation known to increase accuracy for …

Matching unfamiliar faces is a difficult task. Here we ask whether it is possible to improve
performance by providing multiple images to support matching. In two experiments we …