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Solving the Border Control Problem: Evidence of Enhanced Face Matching in Individuals with Extraordinary Face Recognition Skills

Bobak, Anna Katarzyna, Dowsett, Andrew James, Bate, Sarah·2016·PLOS ONE
DOI 10.1371/journal.pone.0148148PMC PMC4735453
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  • Recruiting people with natural aptitude in face identification tasks has been shown to produce substantial boosts to accuracy.

    “Recruiting people with natural aptitude in face identification tasks [37, 38]”

    From Do professional facial image comparison training courses work? (2019) · cites this paper as [38]

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Research works printed but not linked: 38

  1. AM Burton, 2010, The Glasgow Face Matching Test, Behav Res Methods, 42, 286, 10.3758/BRM.42.1.286 · DOI · Paper page
  2. M Bindemann, 2012, Who can recognize unfamiliar faces? Individual differences and observer consistency in person identification, J Exp Psychol Appl, 18, 277, 10.1037/a0029635 · DOI · Paper page
  3. AK Bobak, 2015, Super-recognisers in Action: Evidence from Face-matching and Face Memory Tasks, Appl Cogn Psychol, n/a
  4. V Bruce, 1999, Verification of face identities from images captured on video, J Exp Psychol Appl, 5, 339, 10.1037/1076-898X.5.4.339 · DOI · Paper page
  5. WL Braje, 2013, Illumination effects in face recognition, Psychobiology, 26, 371, 10.3758/BF03330623 · DOI
  6. AM Megreya, 2013, Matching Face Images Taken on the Same Day or Months Apart: the Limitations of Photo ID, Appl Cogn Psychol, 27, 700, 10.1002/acp.2965 · DOI · Paper page
  7. V Bruce, 1986, Understanding face recognition, Br J Psychol Lond Engl 1953, 77, 305
  8. R Jenkins, 2011, Stable face representations, Philos Trans R Soc Lond B Biol Sci, 366, 1671, 10.1098/rstb.2010.0379 · DOI
  9. AJ Dowsett, 2015, Face learning with multiple images leads to fast acquisition of familiarity for specific individuals, Q J Exp Psychol, 0, 1
  10. R Kemp, 1997, When seeing should not be believing: Photographs, credit cards and fraud, Appl Cogn Psychol, 11, 211, 10.1002/(SICI)1099-0720(199706)11:3<211::AID-ACP430>3.0.CO;2-O · DOI
  11. D White, 2014, Passport Officers’ Errors in Face Matching, PLoS ONE, 9, e103510, 10.1371/journal.pone.0103510 · DOI · Paper page
  12. K Norell, 2015, The Effect of Image Quality and Forensic Expertise in Facial Image Comparisons, J Forensic Sci, 60, 331, 10.1111/1556-4029.12660 · DOI · Paper page
  13. D White, 2015, Perceptual expertise in forensic facial image comparison, Proc R Soc B, 282, 20151292, 10.1098/rspb.2015.1292 · DOI · Paper page
  14. S Bate, 2014, Oxytocin increases bias, but not accuracy, in face recognition line-ups, Soc Cogn Affect Neurosci, nsu150
  15. A Towler, 2014, Evaluating training methods for facial image comparison: the face shape strategy does not work, Perception, 43, 214, 10.1068/p7676 · DOI · Paper page
  16. MM WOODHEAD, 1979, On Training People to Recognize Faces, Ergonomics, 22, 333, 10.1080/00140137908924617 · DOI · Paper page
  17. D White, 2014, Feedback training for facial image comparison, Psychon Bull Rev, 21, 100, 10.3758/s13423-013-0475-3 · DOI · Paper page
  18. HM Alenezi, 2013, The Effect of Feedback on Face-Matching Accuracy, Appl Cogn Psychol, 27, 735, 10.1002/acp.2968 · DOI · Paper page
  19. AJ Dowsett, 2015, Unfamiliar face matching: Pairs out-perform individuals and provide a route to training, Br J Psychol, 106, 433, 10.1111/bjop.12103 · DOI · Paper page
  20. R Russell, 2009, Super-recognizers: People with extraordinary face recognition ability, Psychon Bull Rev, 16, 252, 10.3758/PBR.16.2.252 · DOI · Paper page
  21. R Russell, 2012, Developmental prosopagnosia and super-recognition: no special role for surface reflectance processing, Neuropsychologia, 50, 10.1016/j.neuropsychologia.2011.12.004 · DOI
  22. S Bate, 2012, Covert recognition relies on affective valence in developmental prosopagnosia: Evidence from the skin conductance response, Neuropsychology, 26, 670, 10.1037/a0029443 · DOI
  23. S Bate, 2014, The rehabilitation of face recognition impairments: a critical review and future directions, Front Hum Neurosci, 8, 10.3389/fnhum.2014.00491 · DOI
  24. RJ Bennetts, 2015, Movement Cues Aid Face Recognition in Developmental Prosopagnosia, Movement Cues Aid Face Recognition in Developmental Prosopagnosia
  25. KA Dalrymple, 2014, Dissociation between face perception and face memory in adults, but not children, with developmental prosopagnosia, Dev Cogn Neurosci, 10, 10, 10.1016/j.dcn.2014.07.003 · DOI
  26. AM Megreya, 2011, The other-race effect does not rely on memory: Evidence from a matching task, Q J Exp Psychol, 64, 1473, 10.1080/17470218.2011.575228 · DOI · Paper page
  27. AM Megreya, 2011, Sex differences in unfamiliar face identification: Evidence from matching tasks, Acta Psychol (Amst), 137, 83, 10.1016/j.actpsy.2011.03.003 · DOI · Paper page
  28. B Duchaine, 2006, The Cambridge Face Memory Test: results for neurologically intact individuals and an investigation of its validity using inverted face stimuli and prosopagnosic participants, Neuropsychologia, 44, 576, 10.1016/j.neuropsychologia.2005.07.001 · DOI
  29. JR Crawford, 2010, Point and interval estimates of effect sizes for the case-controls design in neuropsychology: Rationale, methods, implementations, and proposed reporting standards, Cogn Neuropsychol, 27, 245, 10.1080/02643294.2010.513967 · DOI
  30. AH McIntyre, 2013, Improving Discrimination and Face Matching with Caricature, Appl Cogn Psychol, 27, 725, 10.1002/acp.2966 · DOI · Paper page
  31. NA Macmillan, 2004, Detection Theory: A User’s Guide, 10.4324/9781410611147 · DOI · Paper page
  32. JR Crawford, 1998, Comparing an Individual’s Test Score Against Norms Derived from Small Samples, Clin Neuropsychol, 12, 482, 10.1076/clin.12.4.482.7241 · DOI · Paper page
  33. O Wilhelm, 2010, Individual differences in perceiving and recognizing faces-One element of social cognition, J Pers Soc Psychol, 99, 530, 10.1037/a0019972 · DOI
  34. AM Burton, 1990, Understanding face recognition with an interactive activation model, Br J Psychol, 81, 361, 10.1111/j.2044-8295.1990.tb02367.x · DOI
  35. JM Henderson, 2005, Eye movements are functional during face learning, Mem Cognit, 33, 98, 10.3758/BF03195300 · DOI
  36. T Sekiguchi, 2011, Individual differences in face memory and eye fixation patterns during face learning, Acta Psychol (Amst), 137, 1, 10.1016/j.actpsy.2011.01.014 · DOI
  37. NG Shakeshaft, 2015, Genetic specificity of face recognition, Proc Natl Acad Sci, 112, 12887, 10.1073/pnas.1421881112 · DOI
  38. DC Bowles, 2009, Diagnosing prosopagnosia: Effects of ageing, sex, and participant—stimulus ethnic match on the Cambridge Face Memory Test and Cambridge Face Perception Test, Cogn Neuropsychol, 26, 423, 10.1080/02643290903343149 · DOI

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Metadata

Authors
Bobak, A. K., Dowsett, A. J., & Bate, S.
Venue
PLOS ONE
Publisher
Public Library of Science (PLoS)
Published
2016-02-01
Volume
11
Issue
2
Pages
e0148148
ISSN
1932-6203
DOI
10.1371/journal.pone.0148148
PMC
PMC4735453
Cited by
85
References
1
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)

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