Selected Media Coverage

Can you recognise an A.I generated face? You might be a 'super-recogniser'

Dunn et al. (2026). Too good to be true: Synthetic AI faces are more average than real faces and super-recognizers know it. British Journal of Psychology.

Even experts can't tell if these faces are AI-generated or not. Can you?

Dunn et al. (2026). Too good to be true: Synthetic AI faces are more average than real faces and super-recognizers know it. British Journal of Psychology.

AI study gives insights into why super-recognisers excel at identifying faces

Dunn et al. (2025). Super-recognizers sample visual information of superior computational value. Proc. Royal Society B.

Are you a super-recognizer? The science of superior facial processing.

Dunn et al. (2023). Selecting police super-recognisers. PLOS ONE.

You Can Learn to Be Photogenic

White et al. (2017). Choosing face: The curse of self in profile image selection Cognitive Research: Principles and Implications.

Why faces might not be as attention-grabbing as we think

Varela et al. (2022). Looking at faces in the wild PLOS ONE.

How the Police Use Facial Recognition, and Where It Falls Short

White et al. (2015). Error Rates in Users of Automatic Face Recognition Software PLOS ONE.

Police, border guards’ face-matching test updated for first time in a decade

White et al. (2022). GFMT2: A psychometric measure of face matching ability Behavior Research Methods.

Take This Quiz to See if You Are a Face “Super-Recognizer”

Dunn et al. (2020). UNSW Face Test: A screening tool for super-recognizers. PLOS ONE.