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James D Dunn, PhD
James D Dunn, PhD
Lecturer, UNSW Sydney
Verified email at unsw.edu.au - Homepage
Title
Cited by
Cited by
Year
Error rates in users of automatic face recognition software
D White, JD Dunn, AC Schmid, RI Kemp
PloS one 10 (10), e0139827, 2015
1622015
Do professional facial image comparison training courses work?
A Towler, RI Kemp, AM Burton, JD Dunn, T Wayne, R Moreton, D White
PloS one 14 (2), e0211037, 2019
1002019
UNSW Face Test: A screening tool for super-recognizers
JD Dunn, S Summersby, A Towler, JP Davis, D White
PLoS ONE 15 (11), e0241747, 2020
472020
Match me if you can: Evidence for a domain-general visual comparison ability
B Growns, JD Dunn, EJAT Mattijssen, A Quigley-McBride, A Towler
Psychonomic Bulletin & Review 29 (3), 866-881, 2022
162022
Face-Information Sampling in Super-Recognizers
JD Dunn, VPL Varela, VI Nicholls, M Papinutto, D White, S Miellet
Psychological Science, 09567976221096320, 2021
152021
Familiarity does not inhibit image-specific encoding of faces.
JD Dunn, KL Ritchie, RI Kemp, D White
Journal of Experimental Psychology: Human Perception and Performance 45 (7), 841, 2019
142019
Diverse types of expertise in facial recognition
A Towler, JD Dunn, S Castro Martínez, R Moreton, F Eklöf, A Ruifrok, ...
Scientific Reports 13 (1), 11396, 2023
11*2023
Search templates that incorporate within-face variation improve visual search for faces
JD Dunn, RI Kemp, D White
Cognitive Research: Principles and Implications 3 (1), 37, 2018
112018
The low prevalence effect in fingerprint comparison amongst forensic science trainees and novices
B Growns, JD Dunn, RK Helm, A Towler, J Kukucka
Plos one 17 (8), e0272338, 2022
82022
Statistical feature training improves fingerprint-matching accuracy in novices and professional fingerprint examiners
B Growns, A Towler, JD Dunn, JM Salerno, NJ Schweitzer, IE Dror
Cognitive Research: Principles and Implications 7 (1), 60, 2022
82022
Are face recognition abilities in humans and sheep really ‘comparable’?
A Towler, RI Kemp, V Bruce, AM Burton, JD Dunn, D White
Royal Society open science 6 (1), 180772, 2019
82019
Search templates that incorporate within-face variation improve visual search for faces. Cognitive Research: Principles and Implications, 3, Article 37
JD Dunn, RI Kemp, D White
52018
Top-down influences on working memory representations of faces: Evidence from dual-target visual search
JD Dunn, RI Kemp, D White
Quarterly Journal of Experimental Psychology, 17470218211014357, 2021
42021
Self-reported face recognition abilities moderately predict face-learning skills: Evidence from Italian samples
S Tagliente, M Passarelli, V D’Elia, A Palmisano, JD Dunn, M Masini, ...
Heliyon 9 (3), 2023
22023
Selecting police super-recognisers
JD Dunn, A Towler, RI Kemp, D White
Plos one 18 (5), e0283682, 2023
12023
Verifying unfamiliar identities: Effects of processing name and face information in the same identity-matching task
A Trinh, JD Dunn, D White
Cognitive Research: Principles and Implications 7 (1), 92, 2022
12022
The computational value of face information sampled by super-recognizers
S Miellet, JD Dunn, VPL Varela, B Popovic, S Summersby, D White
Journal of Vision 23 (9), 4744-4744, 2023
2023
Using face averages to measure differential accuracy for demographic groups in facial recognition
J Dunn, D White
Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023
2023
Visual information sampling of faces by super-recognisers
JD Dunn, VI Nicholls, M Papinutto, VPL Varela, D White, S Miellet
Journal of Vision 21 (9), 2327-2327, 2021
2021
Evaluating Face Identification Expertise: Turning Theory into Practice. Digested Analysis
D White, A Towler, L Jeffery, R Kemp, R Palermo, K Ballantyne, K Curby, ...
Evaluating Face Identification Expertise: Turning Theory into Practice, 2020
2020
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