Cited by 36

The DOI matches its Crossref record.

Can I see your passport please? Perceptual discrimination of own-and other-race faces

Meissner, Christian A., Susa, Kyle J., Ross, Amy B.·2013·Visual Cognition

Abstract

Psychological research has consistently demonstrated that individuals are better at discriminating faces of their own race when compared with faces of another, less familiar race. Given the racial/ethnic diversity of individuals screened by security personnel at transportation and border checkpoints, it is important to understand whether the cross-race effect may play a role in simultaneous perceptual discrimination tasks that mimic such screening operations. Three experiments assessed the deleterious effects of cross-racial identification in this context. Results demonstrated greater discrimination accuracy for own- versus other-race faces, and a propensity for screeners to be overconfident in their decisions, particularly for other-race persons. Further, perceived age differences between the target and his identification photo and the use of a disguise were found to moderate cross-race effects during this task.

Overview

Integrity signals

Registry

Crossref · 10.1080/13506285.2013.832451

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • An own-race bias is present in both face recognition and matching tasks.

    “evidence has shown that an own-race bias is present in both face recognition (Meissner & Brigham, 2001) and matching tasks (Megreya, White & Burton, 2011; Meissner, Susa & Ross, 2013)”

    From Unfamiliar face matching with photographs of infants and children (2018) · cites this paper as Meissner, Susa & Ross, 2013

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 33

  1. 10.1080/13506285.2013.821428 · DOI
  2. 10.1023/A:1012840831846 · DOI
  3. Brigham, J. C., Bennett, L., Meissner, C. A. & Mitchell, T. (2007).The influence of race on eyewitness memory. The handbook of eyewitness psychology: Vol II. Memory for people(pp. 257–281). Mahwah, NJ: Lawrence Erlbaum Associates.
  4. 10.1016/j.cognition.2012.02.007 · DOI
  5. 10.1098/rspb.1995.0021 · DOI
  6. 10.1111/1467-9280.00144 · DOI · Paper page
  7. 10.1068/p5360 · DOI
  8. 10.1016/S0364-0213(02)00084-8 · DOI
  9. 10.1348/000712607X199981 · DOI
  10. 10.1080/13506285.2013.824530 · DOI
  11. 10.1080/13506285.2013.821429 · DOI
  12. 10.1037/a0020463 · DOI
  13. 10.1016/S0191-8869(02)00028-4 · DOI
  14. 10.1037/0278-7393.22.5.1304 · DOI
  15. 10.1002/(SICI)1099-0720(199706)11:3<211::AID-ACP430>3.0.CO;2-O · DOI
  16. Krug K., 2007, Applied Psychology in Criminal Justice, 3, 7
  17. 10.1037/0021-9010.76.4.587 · DOI
  18. 10.1080/13506280903178622 · DOI
  19. 10.3758/PBR.16.1.99 · DOI
  20. 10.1080/17470218.2011.575228 · DOI · Paper page
  21. 10.1037/1076-8971.7.1.3 · DOI · Paper page
  22. 10.1002/acp.1097 · DOI
  23. 10.1080/13506285.2013.803505 · DOI
  24. 10.1037/0021-9010.85.4.504 · DOI
  25. 10.1080/13506285.2012.654624 · DOI
  26. 10.1037/1076-8971.7.1.170 · DOI
  27. 10.1177/0022022107302310 · DOI
  28. 10.1521/soco.2010.28.4.523 · DOI
  29. 10.1080/13506285.2013.826315 · DOI
  30. 10.1007/BF02686820 · DOI
  31. 10.1002/acp.1191 · DOI
  32. 10.1068/p5098 · DOI
  33. 10.1037/0021-9010.88.3.490 · DOI

Cited by

Sorted by citations

Metadata

Authors
Meissner, C. A., Susa, K. J., & Ross, A. B.
Venue
Visual Cognition
Published
2013-09
Volume
21
Issue
9-10
Pages
1287-1305
ISSN
  • 1350-6285
  • 1464-0716
Cited by
36
References
0
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review