The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Unfamiliar faces are not faces: Evidence from a matching task
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The matching of facial identity across two simultaneously presented images is a notoriously difficult task, even under the simplest of circumstances.
“The matching of facial identity across two simultaneously presented images is a notoriously difficult task, even under the simplest of circumstances (Burton et al., 2010; Megreya & Burton, 2006).”
From Enhanced Matching of Children’s Faces in “Super-Recognisers” But Not High-Contact Controls (2020) · cites this paper as Megreya & Burton, 2006
The Abstract says that matching two images of an unfamiliar face is difficult even under good conditions, and that poor performance persists when people judge whether two images show the same person. But it contrasts this with very good performance for familiar faces; the claim omits the unfamiliar-face qualification. (LLM, conf=0.85)
Experimental — accuracy not yet measuredPrevious studies show that some people perform very well in face matching tasks while others perform very poorly, and that these individual differences are stable across tests.
“This would be consistent with previous studies showing that some people perform very well in face matching tasks while others perform very poorly [15, 33, 34] and that these individual differences are stable across tests [33–35].”
From Error Rates in Users of Automatic Face Recognition Software (2015) · cites this paper as [33]
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Citations
Cites
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
Yin, R. K. (1969) · Journal of Experimental Psychology · doi:10.1037/h0027474 · Cited by 2,624
Flagged first, then by citations
Research works printed but not linked: 44
- Alexander, G. E., Mentis, M. J., Van Horn, J. D., Grady, C. L., Berman, K. F., Furey, M. L., et al. (1999). Individual differences in PET activation of object perception and attention systems predict face matching accuracy.NeuroReport,10, 1965–1971. · DOI
- Bartlett, J. C., &Searcy, J. (1993). Inversion and configuration of faces.Cognitive Psychology,25, 281–316. · DOI
- Bruce, V. (1986). Influences of familiarity on the processing of faces.Perception,15, 387–397. · DOI
- Bruce, V., Burton, A. M., &Dench, N. (1994). What’s distinctive about a distinctive face?Quarterly Journal of Experimental Psychology,47A, 119–141. · DOI
- Bruce, V., Henderson, Z., Greenwood, K., Hancock, P. J.B., Burton, A. M., &Miller, P. (1999). Verification of face identities from images captured on video.Journal of Experimental Psychology: Applied,5, 339–360. · DOI · Paper page
- Bruce, V., Henderson, Z., Newman, C., &Burton, A. M. (2001). Matching identities of familiar and unfamiliar faces caught on CCTV images.Journal of Experimental Psychology: Applied,7, 207–218. · DOI · Paper page
- Bruce, V., &Young, A. W. (1986). Understanding face recognition.British Journal of Psychology,77, 305–327. · DOI
- Burton, A. M., Bruce, V., &Hancock, P. J. B. (1999). From pixels to people: A model of familiar face recognition.Cognitive Science,23, 1–31. · DOI
- Burton, A. M., Wilson, S., Cowan, M., &Bruce, V. (1999). Face recognition in poor-quality video: Evidence from security surveillance.Psychological Science,10, 243–248. · DOI · Paper page
- Courtois, M. R., &Mueller, J. H. (1981). Target and distractor typicality in facial recognition.Journal of Applied Psychology,66, 639–645. · DOI
- de Gelder, B., &Rouw, R. (2000). Paradoxical configuration effects for faces and objects in prosopagnosia.Neuropsychologia,38, 1271–1279. · DOI
- Ekstrom, R. B., French, J. W., &Harman, H. H. (1979). Cognitive factors: Their identification and replication.Multivariate Behavioral Research Monographs,79, 3–84.
- Enns, J. T., &Shore, D. I. (1997). Separate influences of orientation and lighting in the inverted-face effect.Perception & Psychophysics,59, 23–31. · DOI
- Farah, M. J., Wilson, K. D., Drain, H. M., &Tanaka, J. R. (1995). The inverted faces inversion effect in prosopagnosia: Evidence for mandatory, face-specific perceptual mechanisms.Vision Research,35, 2089–2093. · DOI
- Flin, R. H. (1985). Development of face recognition: An encoding switch?British Journal of Psychology,76, 123–134. · DOI
- Freire, A., Lee, K., &Symons, L. A. (2000). The face-inversion effect as a deficit in the encoding of configural information: Direct evidence.Perception,29, 159–170. · DOI
- Hancock, P. J. B., Bruce, V., &Burton, A. M. (2000). Recognition of unfamiliar faces.Trends in Cognitive Sciences,4, 330–337. · DOI · Paper page
- Hancock, P. J. B., Burton, A. M., &Bruce, V. (1996). Face processing: Human perception and principal components analysis.Memory & Cognition,24, 26–40. · DOI
- Haxby, J. V., Ungerleider, L. G., Clark, V. P., Schouten, J. L., Hoffman, E. A., &Martin, A. (1999). The effects of face inversion on activity in human neural system for face and object perception.Neuron,22, 189–199. · DOI
- Henderson, Z., Bruce, V., &Burton, A. M. (2001). Matching the faces of robbers captured on video.Applied Cognitive Psychology,15, 445–464. · DOI · Paper page
- Kagan, J. (1965). Reflection-impulsivity and reading ability in primary grade children.Child Development,36, 609–628. · DOI
- Kemp, R., Towell, N., &Pike, G. (1997). When seeing should not be believing: Photographs, credit cards and fraud.Applied Cognitive Psychology,11, 211–222. · DOI
- Klatzky, R. L., &Forrest, F. H. (1984). Recognizing familiar and unfamiliar faces.Memory & Cognition,12, 60–70. · DOI
- Lavrakas, P. J., Buri, J. R., &Mayzner, M. S. (1976). A perspective on the recognition of other-race faces.Perception & Psychophysics,20, 475–481. · DOI
- Lewis, M. B., &Johnston, R. A. (1997). Familiarity, target set, and false positives in face recognition.European Journal of Cognitive Psychology,9, 437–459. · DOI
- Liu, C. H., Seetzen, H., Burton, A. M., &Chaudhuri, A. (2003). Face recognition is robust with incongruent image resolution: Relationship to security video images.Journal of Experimental Psychology: Applied,9, 33–41. · DOI
- Malone, D. R., Morris, H. H., Kay, M. C., &Levin, H. S. (1982). Prosopagnosia: A double dissociation between the recognition of familiar and unfamiliar faces.Journal of Neurology, Neurosurgery, & Psychiatry,45, 820–822. · DOI
- Messick, S., &Damarin, F. (1964). Cognitive styles and memory for faces.Journal of Abnormal & Social Psychology,69, 313–318. · DOI
- Moscovitch, M., Winocur, G., &Behrmann, M. (1997). What is special about face recognition? Nineteen experiments on a person with visual object agnosia and dyslexia but normal face recognition.Journal of Cognitive Neuroscience,9, 555–604. · DOI
- Mueller, J. H., Bailis, K. L., &Goldstein, A. G. (1979). Depth of processing and anxiety in facial recognition.British Journal of Psychology,70, 511–515. · DOI
- Nowicki, S., Winograd, E., &Millard, B. A. (1979). Memory for faces: A social learning analysis.Journal of Research in Personality,13, 460–468. · DOI
- Rose, S. A., &Feldman, J. F. (1995). Prediction of IQ and specific cognitive abilities at 11 years from infancy measures.Developmental Psychology,31, 685–696. · DOI
- Rose, S. A., Feldman, J. F., &Jankowski, J. J. (2003). Infant visual recognition memory: Independent contributions of speed and attention.Developmental Psychology,39, 563–571. · DOI
- Ryan, R. S., &Schooler, J. W. (1998). Whom do words hurt? Individual differences in susceptibility to verbal overshadowing.Applied Cognitive Psychology,12, 105–125. · DOI
- Schretlen, D. J., Pearlson, G. D., Anthony, J. C., &Yates, K. O. (2001). Determinants of Benton Facial Recognition Test performance in normal adults.Neuropsychology,15, 405–410. · DOI
- Sekuler, A. B., Gaspar, C. M., Gold, J. M., &Bennett, P. J. (2004). Inversion leads to quantitative, not qualitative, changes in face processing.Current Biology,14, 391–396. · DOI
- Sergent, J. (1984). An investigation into component and configural processes underlying face recognition.British Journal of Psychology,75, 221–242. · DOI
- Tanaka, J. W., &Sengco, J. A. (1997). Features and their configuration in face recognition.Memory & Cognition,25, 583–592. · DOI
- Valentine, T. (1988). Upside-down faces: A review of the effect of inversion upon face recognition.British Journal of Psychology,79, 471–491. · DOI
- Vokey, J. R., &Read, J. D. (1992). Familiarity, memorability, and the effect of typicality on the recognition of faces.Memory & Cognition,20, 291–302. · DOI · Paper page
- Witkin, H. A., Dyk, R. B., Faterson, H. F., Goodenough, D. R., &Karp, S. A. (1974).Psychological differentiation: Studies of development (2nd ed.). New York: Wiley.
- Woodhead, M. M., &Baddeley, A. D. (1981). Individual differences and memory for faces, pictures, and words.Memory & Cognition,9, 368–370. · DOI
- Young, A. W., Hay, D. C., McWeeny, K. H., Flude, B. M., &Ellis, A. W. (1985). Matching familiar and unfamiliar faces on internal and external features.Perception,14, 737–746. · DOI
- Young, A. W., Newcombe, F., de Haan, E. H. F., Small, M., &Hay, D. C. (1993). Face perception after brain injury: Selective impairments affecting identity and expression.Brain,116, 941–959. · DOI
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Sorted by citations
Error Rates in Users of Automatic Face Recognition Software
White, D., Dunn, J. D., Schmid, A. C., & Kemp, R. I. (2015) · PLOS ONE · doi:10.1371/journal.pone.0139827 · Cited by 141
Developmental Improvement and Age-Related Decline in Unfamiliar Face Matching
Megreya, A. M., & Bindemann, M. (2015) · Perception · doi:10.1068/p7825 · Cited by 53
Self-citationValidation of forensic facial comparison by morphological analysis in photographic and CCTV samples
Bacci, N., Houlton, T. M. R., Briers, N., & Steyn, M. (2021) · International Journal of Legal Medicine · doi:10.1007/s00414-021-02512-3 · Cited by 23
Unfamiliar face matching with photographs of infants and children
Kramer, R. S. S., Mulgrew, J., & Reynolds, M. G. (2018) · PeerJ · doi:10.7717/peerj.5010 · Cited by 15
Enhanced Matching of Children’s Faces in “Super-Recognisers” But Not High-Contact Controls
Bate, S., Bennetts, R., Murray, E., & Portch, E. (2020) · i-Perception · doi:10.1177/2041669520944420 · Cited by 12
Metadata
- Authors
- Megreya, A. M., & Burton, A. M.
- Venue
- Memory & Cognition
- Published
- 2006-06
- Volume
- 34
- Issue
- 4
- Pages
- 865-876
- ISSN
- 0090-502X
- 1532-5946
- Cited by
- 361
- References
- 2
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
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