Are you a super recogniser?
Super-recognisers have an above average ability to recognise faces. Typically this is classified as being in the top 1-2% on a selection of face recognition tests. We, at the University of Greenwich, are interested in finding people with this ability.
Below are our current selection of online tests.
Do child super recognisers exist? Does super recognition run in families? Is it related to your personality?
We are currently looking for parents and children (aged 5+) to take part in our research to answer these questions.
If you wish to take part please click on the link below, you will first be asked to complete a face recognition test and questionnaires (approximately 20-30 min). You will then be emailed a link so your children can take part. These follow up tests are designed to be age appropriate and fun for your child to take part in.
There is no commitment if later you or child(ren) decide not to contribute.
Please Note: This study has been ethically approved by the University of Greenwich. All under 18’s will require both full parental/guardian consent and children will additionally be asked to provide assent.
The Super-Recognisers Team
Any questions please ask one of the team on firstname.lastname@example.org
(Supervisor: Dr JP Davis: email@example.com; +44(0)20 8331 8859)
Currently available tests
More information is available if you click on the links.
If you have any questions about the tests please contact firstname.lastname@example.org
| Could you be a super-recogniser?
(brief teaser test- as taken by more than 3 million people)
|Face Matching Test|
|Old/New Recognition Test||
If you are going to take part in more than one test please use the same personal ID code for each test so that we can match up your results.
Reader in Applied Psychology
Dr Josh P Davis PhD, MSc, BSc, FHEA, MBPsS has been employed at the University of Greenwich since 2008. His PhD from the University of London was mainly conducted at London's Science Museum was on the “Forensic Identification of Unfamiliar Faces in CCTV Images” (2007). He has since published research on human face recognition and eyewitness identification, the reliability of facial composite systems (e.g., E-FIT, EFIT-V), and methods used by expert witnesses to provide evidence of identification in court (e.g., ‘facial comparison evidence: ‘face mapping’).
Since April 2011, much of his research has specifically focussed on so called ‘super-recognisers’. This research has led to changes in the management and distribution of CCTV images by the Metropolitan Police Service (MPS). In May 2014, he received funding from the European Commission as part of the LASIE consortium, with the primary aim of developing a test of superior face recognition to ensure the MPS can identify, and optimally deploy officers, staff and recruits possessing this ability. A secondary component is to advise on the human-computer LASIE system interface.
He has since advised other UK police forces on super-recognition, consulted with business (e.g., Yoti), and presented his research worldwide (e.g., Australia, Brazil, Canada, China, Russia, USA). He has featured in the international media and his first co-edited book “Forensic Facial Identification: Theory and Practice of Identification from Eyewitnesses, Composites and CCTV” (Wiley Blackwell) was published in 2015 (Valentine & Davis, 2015) is available here.
Further information about Super Recognisers
Selected Academic papers on Super-Recognition as well as Eyewitness Identification and Forensic Facial Identification
Peer-reviewed journal articles
Davis, J.P., Lander, K., Evans, R., & Jansari, A. (2016). Investigating predictors of superior face recognition ability in police super-recognisers. Applied Cognitive Psychology, 30(6), 827–840. DOI: 10.1002/acp.3260
Davis, J.P., Thorniley, S., Gibson, S, & Solomon, C. (2016). Holistic facial composite construction and subsequent lineup identification accuracy: Comparing adults and children. Journal of Psychology: Interdisciplinary and Applied, 150(1), 102-118. doi: 10.1080/00223980.2015.1009867
Davis, J.P., Maigut, A.C., Jolliffe, D., Gibson, S, & Solomon, C. (2015). Holistic facial composite creation and subsequent video line-up eyewitness identification paradigm. Journal of Visualized Experiments, e53298. doi:10.3791/53298
Davis, J.P., Simmons, S., Sulley, L., Solomon, C.J., & Gibson, S.J. (2015). An evaluation of post-production facial composite enhancement techniques. Journal of Forensic Practice, 17( 4), 1-12. DOI 10.1108/JFP-08-2015-0042
Davis, J.P., Valentine, T., Memon, A., & Roberts, A.J. (2015). Identification on the street: A field comparison of eyewitness identification methods. Psychology, Crime and Law, 1, 9-27. http://dx.doi.org/10.1080/1068316X.2014.915322
Davis, J.P., Gibson, S, & Solomon, C. (2014). The positive influence of creating a holistic facial composite on video lineup identification. Applied Cognitive Psychology, 28, 634–639. DOI: 10.1002/acp.3045
Roberts, A.J., Davis, J.P. Valentine, T., & Memon, A. (2014). Should we worry about street identifications? Criminal Law Review, 9, 633-653.
Valentine, T., Davis, J.P., Memon, A., & Roberts, A. (2012). Showups and their influence on a subsequent video lineup. Applied Cognitive Psychology, 26(1), 1-23. DOI: 10.1002/acp.1796
Davis, J.P., Valentine, T., & Davis, R.E. (2010). Facial comparison of photographic images taken from full-face and profile viewpoints. Forensic Science International, 200, 165-176. DOI: 10.1016/j.forsciint.2010.04.012
Valentine, T., Davis, J.P., Thorner, K., Solomon, C., & Gibson, S. (2010). Evolving and combining facial composites: Between-witness and within-witness morphs compared. Journal of Experimental Psychology: Applied, 16(1), 72-86. DOI: 10.1037/a0018801.
Davis, J.P., & Valentine, T. (2009). CCTV on trial: Matching video images with the defendant in the dock. Applied Cognitive Psychology, 23, 482-505. DOI:10.1002/acp.1490
Book chapters and other articles
Valentine, T., & Davis, J.P. (2015). Forensic facial identification: A practical guide to best practice. In T. Valentine and J.P. Davis (Eds.), Forensic Facial Identification: Theory and Practice of Identification from Eyewitnesses, Composites and CCTV (pp. 323-347). Chichester: Wiley-Blackwell.
Davis, J.P., & Valentine, T. (2015). Human verification of identity from photographic images. In T. Valentine and J.P. Davis (Eds.), Forensic Facial Identification: Theory and Practice of Identification from Eyewitnesses, Composites and CCTV (pp. 211-238). Chichester: Wiley-Blackwell.
Valentine, T., & Davis, J.P. (2015). Eyewitness identification and surveillance of facial images: progress and problems. In T. Valentine and J.P. Davis (Eds.), Forensic Facial Identification: Theory and Practice of Identification from Eyewitnesses, Composites and CCTV (pp. 3-14). Chichester: Wiley-Blackwell.
Edmond, G., Davis, J.P., & Valentine, T. (2015). Expert analysis: Facial image comparison. In T. Valentine and J.P. Davis (Eds.), Forensic Facial Identification: Theory and Practice of Identification from Eyewitnesses, Composites and CCTV (pp. 239-262). Chichester: Wiley-Blackwell.
Davis, J.P., Lander, K., & Jansari, A. (2013). I never forget a face. The Psychologist, 26(10), 726-729. http://thepsychologist.bps.org.uk/volume-26/edition-10/i-never-forget-face
Davis, J.P. (2012). Image comparison, Facial, Photographic. In A. Jamiesson and A. Moenssens (Eds.), Wiley Encyclopaedia of Forensic Science. Wiley: UK. DOI: 10.1002/9780470061589.fsa1066
Davis, J.P., Valentine, T., & Wilkinson, C. (2012). Facial image comparison. In C. Wilkinson and C. Rynn (Eds.), Craniofacial Identification (pp. 136-153). Cambridge: Cambridge University Press. http://dx.doi.org/10.1017/CBO9781139049566
University webpage: https://www.gre.ac.uk/eduhea/study/pswc/staff/josh-davis
Linked In https://www.linkedin.com/in/dr-josh-p-davis-7050137b/
Research Gate: https://www.researchgate.net/profile/Josh_Davis