All Stories

  1. What makes some people better at recognising faces?
  2. Information sampling differences supporting superior face identity processing ability
  3. Flexible use of facial features supports face identity processing
  4. Jack of all trades, master of one: Domain-specific and domain-general contributions to perceptual expertise in visual comparison
  5. Superior computational value of face information sampled by super-recognizers
  6. Diverse types of expertise in facial recognition
  7. Selecting police super-recognisers
  8. Self-reported face recognition abilities moderately predict face-learning skills: Evidence from Italian samples
  9. Verifying unfamiliar identities: Effects of processing name and face information in the same identity-matching task
  10. Face-Information Sampling in Super-Recognizers
  11. The low prevalence effect in fingerprint comparison amongst forensic science trainees and novices
  12. Statistical feature training improves fingerprint-matching accuracy in novices and professional fingerprint examiners
  13. Match me if you can: Evidence for a domain-general visual comparison ability
  14. Diverse routes to expertise in facial recognition
  15. Top-down influences on working memory representations of faces: Evidence from dual-target visual search
  16. Face information sampling in super-recognizers
  17. UNSW Face Test: A screening tool for super-recognizers
  18. UNSW Face Test: A screening tool for super-recognizers
  19. Familiarity does not inhibit image-specific encoding of faces.
  20. Do professional facial image comparison training courses work?
  21. Are face recognition abilities in humans and sheep really ‘comparable’?
  22. Search templates that incorporate within-face variation improve visual search for faces
  23. Error Rates in Users of Automatic Face Recognition Software