ORCID as entered in ROS

Select Publications
2017, 'Qualitative Differences Between Professional Forensic Face Examiners and Untrained People in Person Recognition Are Revealed by Item Analysis', Journal of Vision, 17, pp. 615 - 615, http://dx.doi.org/10.1167/17.10.615
,2017, 'Person recognition: Qualitative differences in how forensic face examiners and untrained people rely on the face versus the body for identification', Visual Cognition, 25, pp. 492 - 506, http://dx.doi.org/10.1080/13506285.2017.1297339
,2017, 'Evaluating the feature comparison strategy for forensic face identification', Journal of Experimental Psychology Applied, 23, pp. 47 - 58, http://dx.doi.org/10.1037/xap0000108
,2017, 'Face matching impairment in developmental prosopagnosia', Quarterly Journal of Experimental Psychology, 70, pp. 287 - 297, http://dx.doi.org/10.1080/17470218.2016.1173076
,2017, 'Thinking forensics: Cognitive science for forensic practitioners', Science and Justice, 57, pp. 144 - 154, http://dx.doi.org/10.1016/j.scijus.2016.11.005
,2017, 'Unfamiliar face matching systems in applied settings', Face processing: systems, disorders and cultural differences
,2016, 'Perceptual impairment in face identification with poor sleep', Royal Society Open Science, 3, http://dx.doi.org/10.1098/rsos.160321
,2016, 'Model forensic science', Australian Journal of Forensic Sciences, 48, pp. 496 - 537, http://dx.doi.org/10.1080/00450618.2015.1128969
,2016, 'Not looking yourself: The cost of self-selecting photographs for identity verification', British Journal of Psychology, 107, pp. 359 - 373, http://dx.doi.org/10.1111/bjop.12141
,2015, 'Variation in Photos of the Same Face Drives Improvements in Identity Verification', Perception, 44, pp. 1332 - 1341, http://dx.doi.org/10.1177/0301006615599902
,2015, 'Error rates in users of automatic face recognition software', Plos One, 10, http://dx.doi.org/10.1371/journal.pone.0139827
,2015, 'Identity-level representations affect unfamiliar face matching performance in sequential but not simultaneous tasks', Quarterly Journal of Experimental Psychology, 68, pp. 1777 - 1793, http://dx.doi.org/10.1080/17470218.2014.990468
,2015, 'Perceptual expertise in forensic facial image comparison', Proceedings of the Royal Society B Biological Sciences, 282, http://dx.doi.org/10.1098/rspb.2015.1292
,2015, 'Viewers base estimates of face matching accuracy on their own familiarity: Explaining the photo-ID paradox', Cognition, 141, pp. 161 - 169, http://dx.doi.org/10.1016/j.cognition.2015.05.002
,2015, 'Identity-level representations affect unfamiliar face matching performance in sequential but not simultaneous tasks', Quarterly Journal of Experimental Psychology, http://dx.doi.org/10.1080/17470218.2014.990468
,2014, 'Constructing faces from memory: The impact of image likeness and prototypical representations', Journal of Forensic Practice, 16, pp. 243 - 256, http://dx.doi.org/10.1108/JFP-08-2013-0042
,2014, 'Passport officers' errors in face matching', Plos One, 9, http://dx.doi.org/10.1371/journal.pone.0103510
,2014, 'Evaluating training methods for facial image comparison: The face shape strategy does not work', Perception, 43, pp. 214 - 218, http://dx.doi.org/10.1068/p7676
,2014, 'Feedback training for facial image comparison', Psychonomic Bulletin and Review, 21, pp. 100 - 106, http://dx.doi.org/10.3758/s13423-013-0475-3
,2014, 'Redesigning photo-ID to improve unfamiliar face matching performance', Journal of Experimental Psychology Applied, 20, pp. 166 - 173, http://dx.doi.org/10.1037/xap0000009
,2014, 'How to cross-examine forensic scientists: A guide for lawyers', Australian Bar Review, 39, pp. 174 - 197, http://mbthompson.com/wp-content/uploads/2011/03/Edmond-HowToCross-ExamineForensicScientists.pdf
,2013, 'Crowd effects in unfamiliar face matching', Applied Cognitive Psychology, 27, pp. 769 - 777, http://dx.doi.org/10.1002/acp.2971
,2013, 'Transparency of geometric distortions in face identity', I-PERCEPTION, 4, pp. 480 - 480, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000336568300005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
,2012, 'In the dock: Chimeric image composites reduce face identification accuracy', Applied Cognitive Psychology, 26, pp. 140 - 149, http://dx.doi.org/10.1002/acp.1806
,2011, 'The other race effect does not rely on memory: Evidence from a matching task.', Quarterly Journal of Experimental Psychology, 64, pp. 1473 - 1483, http://dx.doi.org/10.1080/17470218.2011.575228
,2011, 'Variability in photos of the same face', Cognition, 121, pp. 313 - 323, http://dx.doi.org/10.1016/j.cognition.2011.08.001
,2010, 'The glasgow face matching test', Behavior Research Methods, 42, pp. 286 - 291, http://dx.doi.org/10.3758/BRM.42.1.286
,2009, 'Investigating the medical forensic examination from the perspectives of sexually assaulted women', SOCIAL SCIENCE & MEDICINE, 68, pp. 774 - 780, http://dx.doi.org/10.1016/j.socscimed.2008.11.010
,2005, 'Robust representations for face recognition: The power of averages', Cognitive Psychology, 51, pp. 256 - 284, http://dx.doi.org/10.1016/j.cogpsych.2005.06.003
,2014, 'Way-finding improves visual memory for built environments', in Kiefer P; Giannopoulos I; Raubal M; Krüger A (eds.), CEUR Workshop Proceedings, CEUR-WS - Peter Kiefer, Ioannis Giannopoulos, Martin Raubal, Antonio Krüger., Vienna, Austria, pp. 57 - 61, presented at Eye Tracking for Spatial Research, Vienna, Austria, 23 September 2014 - 25 September 2014, http://ceur-ws.org/Vol-1241/paper12.pdf
,2014, 'Which visual cues are important in way-finding? Measuring the influence of travel mode on visual memory for built environments', in Caltenco H; Hedvall P; Larsson A; Rassmus-Grohn K; Rydeman B (eds.), Proceedings of the International Conference on Universal Design UD2014, IOS Press, Lund, Sweden, pp. 394 - 403, presented at International Conference on Universal Design UD2014, Lund, Sweden, 16 June 2014 - 18 June 2014, http://dx.doi.org/10.3233/978-1-61499-403-9-394
,2009, 'Commercial face recognition doesn't work', in 2009 International Symposium on Bio Inspired Learning and Intelligent Systems for Security Bliss 2009, pp. 43 - 48, http://dx.doi.org/10.1109/BLISS.2009.22
,2006, 'Face Recognition from Unconstrained Images: Progress with Prototypes', 02 April 2006 - 06 April 2006, http://dx.doi.org/10.1109/FGR.2006.45
,2023, 'The computational value of face information sampled by super-recognizers', in Journal of Vision, Association for Research in Vision and Ophthalmology (ARVO), Vol. 23, pp. 4744 - 4744, presented at Vision Sciences Society Annual Meeting 2023, http://dx.doi.org/10.1167/jov.23.9.4744
,2020, Evaluating face identification expertise: Turning theory into practice, https://socialsciences.org.au/workshop/evaluating-face-identification-expertise-turning-theory-into-practice/
,2018, Analysis and Supporting Data from "Improving face identification with specialist teams" by Balsdon, Summersby, Kemp & White (2018). Article published in Cognitive Research: Principles and Implications., Published: 08 January 2018, Software / Code
,2016, The influence of active versus passive exploration of the built environment on way-finding and visual memory
,2025, Super-recognisers sample visual information of superior computational value for facial recognition, http://dx.doi.org/10.31219/osf.io/3h5uj_v2
,2025, Super-Recognisers can Detect AI-hyperrealism, http://dx.doi.org/10.31234/osf.io/fwjsb_v2
,2025, The State of Modeling Face Processing in Humans with Deep Learning, http://dx.doi.org/10.31234/osf.io/hfjmq_v2
,2024, What is special about super-recognisers?, http://dx.doi.org/10.31234/osf.io/sd95m
,2024, AI-generated face detection: Why super-recognisers succeed where others fail, http://dx.doi.org/10.31234/osf.io/fwjsb
,2024, Flexible use of facial features supports face identity processing, http://dx.doi.org/10.31234/osf.io/c7yfu
,2024, Normative face recognition ability test scores vary across online participant pools, http://dx.doi.org/10.31234/osf.io/52k7w
,2024, Super-Recognisers can Detect AI-hyperrealism, http://dx.doi.org/10.31234/osf.io/fwjsb_v1
,2024, The State of Modeling Face Processing in Humans with Deep Learning, http://dx.doi.org/10.31234/osf.io/hfjmq
,2024, The State of Modeling Face Processing in Humans with Deep Learning, http://dx.doi.org/10.31234/osf.io/hfjmq_v1
,2023, Superior computational value of face information sampled by super-recognizers, http://dx.doi.org/10.31219/osf.io/3h5uj
,2023, Superior computational value of face information sampled by super-recognizers, http://dx.doi.org/10.31219/osf.io/3h5uj_v1
,2022, Looking at faces in the wild, http://dx.doi.org/10.31234/osf.io/v7df6
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