Anderson, N., Herriot, P., & Hodgkinson, G. P. (2001). The practitioner-researcher divide in Industrial, Work and Organizational (IWO) psychology: Where are we now and where do we go from here? Journal of Occupational and Organizational Psychology, 74, 391–411. https://doi.org/10.1348/096317901167451
Article
Google Scholar
Balsdon, T., Summersby, S., Kemp, R. I., & White, D. (2018). Improving face identification with specialist teams. Cognitive Research: Principles and Implications, 3, 25. https://doi.org/10.1186/s41235-018-0114-7
Article
Google Scholar
Bate, S., Bennetts, R., Hasshim, N., Portch, E., Murray, E., Burns, E., & Dudfield, G. (2019a). The limits of super recognition: An other-ethnicity effect in individuals with extraordinary face recognition skills. Journal of Experimental Psychology: Human Perception and Performance, 45, 363–377. https://doi.org/10.1037/xhp0000607
Article
PubMed
Google Scholar
Bate, S., Bennetts, R., Murray, E., & Portch, E. (2020). Enhanced matching of children’s faces in “super-recognisers” but not high-contact controls. i-Perception, 11, 1–12. https://doi.org/10.1177/2041669520944420
Article
Google Scholar
Bate, S., Frowd, C., Bennetts, R., Hasshim, N., Murray, E., Bobak, A. K., Wills, H., & Richards, S. (2018). Applied screening tests for the detection of superior face recognition. Cognitive Research: Principles and Implications, 3, 22. https://doi.org/10.1186/s41235-018-0116-5
Article
Google Scholar
Bate, S., Frowd, C., Bennetts, R., Hasshim, N., Portch, E., Murray, E., & Dudfield, G. (2019b). The consistency of superior face recognition skills in police officers. Applied Cognitive Psychology, 33, 828–842. https://doi.org/10.1002/acp.3525
Article
Google Scholar
Bobak, A. K., Bennetts, R. J., Parris, B. A., Jansari, A., & Bate, S. (2016a). An in-depth cognitive examination of individuals with superior face recognition skills. Cortex, 82, 48–62. https://doi.org/10.1016/j.cortex.2016.05.003
Article
PubMed
Google Scholar
Bobak, A. K., Dowsett, A. J., & Bate, S. (2016b). Solving the border control problem: evidence of enhanced face matching in individuals with extraordinary face recognition skills. PLoS ONE, 11, e0148148. https://doi.org/10.1371/journal.pone.0148148
Article
PubMed
PubMed Central
Google Scholar
Bobak, A. K., Hancock, P. J., & Bate, S. (2016c). Super-recognisers in action: Evidence from face-matching and face memory tasks. Applied Cognitive Psychology, 30, 81–91. https://doi.org/10.1002/acp.3170
Article
PubMed
Google Scholar
Bobak, A. K., Pampoulov, P., & Bate, S. (2016d). Detecting superior face recognition skills in a large sample of young British adults. Frontiers in Psychology, 7, 1378. https://doi.org/10.3389/fpsyg.2016.01378
Article
PubMed
PubMed Central
Google Scholar
Bobak, A. K., Parris, B. A., Gregory, N. J., Bennetts, R. J., & Bate, S. (2016e). Eye-movement strategies in developmental prosopagnosia and “super” face recognition. The Quarterly Journal of Experimental Psychology, 70(2), 201–217. https://doi.org/10.1080/17470218.2016.1161059
Article
PubMed
Google Scholar
Brewer, N., & Wells, G. L. (2011). Eyewitness identification. Current Directions in Psychological Science, 20, 24. https://doi.org/10.1177/0963721410389169
Article
Google Scholar
Bruce, V. (1979). Searching for politicians: An information processing approach to face recognition. Quarterly Journal of Experimental Psychology, 31, 373–395. https://doi.org/10.1080/14640747908400734
Article
Google Scholar
Bruce, V. (1982). Changing faces: Visual and non-visual coding processes in face recognition. British Journal of Psychology, 73, 105–116. https://doi.org/10.1111/j.2044-8295.1982.tb01795.x
Article
PubMed
Google Scholar
Bruce, V. (1994). Stability from variation: The case of face recognition. Quarterly Journal of Experimental Psychology, 47, 5–28. https://doi.org/10.1080/14640749408401141
Article
Google Scholar
Bruce, V., & Young, A. (1986). Understanding face recognition. British Journal of Psychology, 77, 305–327. https://doi.org/10.1111/j.2044-8295.1986.tb02199.x
Article
PubMed
Google Scholar
Bruce, V., & Young, A. (2012). Face perception (1st ed.). Psychology Press. https://doi.org/10.4324/9780203721254
Book
Google Scholar
Bruck, M., Cavanagh, P., & Ceci, S. J. (1991). Fortysomething: Recognizing faces at one’s 25th reunion. Memory & Cognition, 19, 221–228. https://doi.org/10.3758/BF03211146
Article
Google Scholar
Burke, D., & Sulikowski, D. (2013). The evolution of holistic processing of faces. Frontiers in Psychology, 4, 1–10. https://doi.org/10.3389/fpsyg.2013.00011
Article
Google Scholar
Burton, A. M. (2013). Why has research in face recognition progressed so slowly? The importance of variability. Quarterly Journal of Experimental Psychology, 66, 1467–1485. https://doi.org/10.1080/17470218.2013.800125
Article
Google Scholar
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. https://doi.org/10.1111/1467-9280.00144
Article
Google Scholar
Carey, S., & Diamond, R. (1977). From piecemeal to configurational representation of faces. Science, 195, 312–314. https://doi.org/10.1126/science.831281
Article
PubMed
Google Scholar
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates. https://doi.org/10.1016/C2013-0-10517-X
Book
Google Scholar
Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159. https://doi.org/10.1037/0033-2909.112.1.155
Article
PubMed
Google Scholar
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334. https://doi.org/10.1007/BF02310555
Article
Google Scholar
Dahlkamp, J., Knobbe, M., & Ulrich, A. (2020). Über alle Grenzen [Crossing Borders]. SPIEGEL, 2(2020), 14–16.
Google Scholar
Davis, J. P. (2019). The worldwide public impact of identifying super-recognizers for police and business. The Cognitive Psychology Bulletin, 4, 17–21.
Google Scholar
Davis, J. P., Forrest, C., Treml, F., & Jansari, A. (2018). Identification from CCTV: Assessing police super-recognizer ability to spot faces in a crowd and susceptibility to change blindness. Applied Cognitive Psychology, 32, 337–353. https://doi.org/10.1002/acp.3405
Article
Google Scholar
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, 827–840. https://doi.org/10.1002/ACP.3260
Article
Google Scholar
Davis, J. P., & Valentine, T. (2008). CCTV on trial: Matching video images with the defendant in the dock. Applied Cognitive Psychology, 23, 482–505. https://doi.org/10.1002/acp.1490
Article
Google Scholar
Davis, J. P., Valentine, T., & Davis, R. E. (2010). Computer assisted photo-anthropometric analyses of full-face and profile facial images. Forensic Science International, 200, 165–176. https://doi.org/10.1016/j.forsciint.2010.04.012
Article
PubMed
Google Scholar
Devue, C., Wride, A., & Grimshaw, G. M. (2019). New insights on real-world human face recognition. Journal of Experimental Psychology: General, 148(6), 994–1007. https://doi.org/10.1037/xge0000493
Article
Google Scholar
Dreyfus, H. L., & Dreyfus, S. E. (1991). Künstliche Intelligenz – Von den Grenzen der Denkmaschine und dem Wert der Intuition. Hamburg, Germany: Rowohlt.
Google Scholar
Dreyfus, S. E., & Dreyfus, H. L. (1980). A five-stage model of the mental activities involved in directed skill acquisition. Washington, DC: Storming Media.
Book
Google Scholar
Duchaine, B., Germine, L., & Nakayama, K. (2007). Family resemblance: Ten family members with prosopagnosia and within-class object agnosia. Cognitive Neuropsychology, 24, 419–430. https://doi.org/10.1080/02643290701380491
Article
PubMed
Google Scholar
Duchaine, B., & Nakayama, K. (2005). Dissociations of face and object recognition in developmental prosopagnosia. Journal of Cognitive Neuroscience, 17, 249–261. https://doi.org/10.1162/0898929053124857
Article
PubMed
Google Scholar
Dunn, J. D., Kemp, R. I., & White, D. (2018). Search templates that incorporate within-face variation improve visual search for faces. Cognitive Research: Principles and Implications, 3, 37.
Google Scholar
Dunn, J. D., Summersby, S., Towler, A., Davis, J. P., & White, D. (2020). UNSW Face Test: A screening tool for super-recognizers. PLoS ONE, 15(11), e0241747. https://doi.org/10.1371/journal.pone.0241747
Article
PubMed
PubMed Central
Google Scholar
Eddy, M. (2016). Reports of attacks on women in Germany heighten tension over migrants. Retrieved June 30th, 2020 https://memory.psych.mun.ca/models/dprime/ and October 18th, 2020 from https://www.nytimes.com/2016/01/06/world/europe/coordinated-attacks-on-women-in-cologne-were-unprecedented-germany-says.html
Ellis, H. D. (1975). Recognizing faces. British Journal of Psychology, 66, 409–426. https://doi.org/10.1111/j.2044-8295.1975.tb01477.x
Article
PubMed
Google Scholar
Ellis, H. D., Shepherd, J. W., & Davies, G. M. (1979). Identification of familiar and unfamiliar faces from the internal and external features: Some implications for theories of face recognition. Perception, 8, 431–439. https://doi.org/10.1068/p080431
Article
PubMed
Google Scholar
Frankl, S. (2019). Personenidentifizierung mittels Mensch und Maschine. Eine analytische Betrachtung der Gesichtserkennung und deren aktueller und potentieller Einsatzmöglichkeiten in Bayern. Kriminalistik, 2, 130–136.
Google Scholar
Freiwald, W., Duchaine, B., & Yovel, G. (2017). Face processing systems: From neurons to real world social perception. Annual Review of Neuroscience, 39, 325–346. https://doi.org/10.1146/annurev-neuro-070815-013934
Article
Google Scholar
Fysh, M. C. (2018). Individual differences in the detection, matching and memory of faces. Cognitive Research: Principles and Implications, 3(20), 1–12. https://doi.org/10.1186/s41235-018-0111-x
Article
Google Scholar
Fysh, M. C., Stacchi, L., & Ramon, M. (2020). Differences between and within individuals, and sub-processes of face cognition—Implications for theory, research, and personnel selection. Royal Society Open Science, 7, 200233. https://doi.org/10.1098/rsos.200233
Article
PubMed
PubMed Central
Google Scholar
Germine, L. T., Duchaine, B., & Nakayama, K. (2011). Where cognitive development and aging meet: Face learning ability peaks after age 30. Cognition, 118, 201–210. https://doi.org/10.1016/j.cognition.2010.11.002
Article
PubMed
Google Scholar
Green, D. M., & Swets, J. A. (1966). Signal detection theory and psychophysics. Hoboken, NJ: Wiley.
Google Scholar
Hansjakob, T., Gundlach, T. E., Straub, P., & Walder, H. (2020). Kriminalistisches Denken [Criminalistic thinking]. Heidelberg, Germany: Müller.
Google Scholar
Hillstrom, A., Hope, L., & Nee, C. (2008). Applying psychological science to the CCTV review process: A review of cognitive and ergonomic literature. Home Office Scientific Development Branch.
Google Scholar
Howe, M. L., Knott, L. M., & Conway, M. A. (2018). Memory and miscarriages of justice. London, United Kingdom: Routledge. https://doi.org/10.4324/9781315752181
Book
Google Scholar
Jack, R. E., & Schyns, P. G. (2015). The human face as a dynamic tool for social communication. Current Biology Review, 25, 621–634. https://doi.org/10.1016/j.cub.2015.05.052
Article
Google Scholar
Jenkins, R., White, D., van Montfort, X., & Burton, A. M. (2011). Variability in photos of the same face. Cognition, 121, 313–323. https://doi.org/10.1016/j.cognition.2011.08.001
Article
PubMed
Google Scholar
Johnston, R. A., & Edmonds, A. J. (2009). Familiar and unfamiliar face recognition: A review. Memory, 17, 577–596. https://doi.org/10.1080/09658210902976969
Article
PubMed
Google Scholar
Kramer, R. S., Hardy, S. C., & Ritchie, K. L. (2020). Searching for faces in crowd chokepoint videos. Applied Cognitive Psychology, 34, 343–356. https://doi.org/10.1002/acp.3620
Article
Google Scholar
Leopold, D. A., & Rhodes, G. (2010). A comparative view of face perception. Journal of Comparative Psychology, 124, 233–251. https://doi.org/10.1037/a0019460
Article
PubMed
PubMed Central
Google Scholar
Longmore, C. A., Liu, C. H., & Young, A. W. (2008). Learning faces from photographs. Journal of Experimental Psychology: Human Perception and Performance, 34, 77–100. https://doi.org/10.1037/0096-1523.34.1.77
Article
PubMed
Google Scholar
Mackworth, N. H. (1948). The breakdown of vigilance during prolonged visual search. Quarterly Journal of Experimental Psychology, 1, 6–21. https://doi.org/10.1080/17470214808416738
Article
Google Scholar
Maguinness, C., & Newell, F. N. (2014). Recognising others: Adaptive changes to person recognition throughout the lifespan. In B. L. Schwartz, M. L. Howe, M. P. Toglia, & H. Otgaar (Eds.), What is adaptive about adaptive memory? Oxford University Press.
Google Scholar
Meissner, C. A., Kelly, C. E., & Woestehoff, S. A. (2015). Improving the effectiveness of suspect interrogations. Annual Review of Law and Social Science, 11, 211–233. https://doi.org/10.1146/annurev-lawsocsci-120814-121657
Article
Google Scholar
Mestry, N., Menneer, T., Cave, K. R., Godwin, H. J., & Donnelly, N. (2017). Dual-target cost in visual search for multiple unfamiliar faces. Journal of Experimental Psychology: Human Perception and Performance, 43, 1504–1519. https://doi.org/10.1037/xhp0000388
Article
PubMed
Google Scholar
Mileva, M., & Burton, A. M. (2019). Face search in CCTV surveillance. Cognitive Research: Principles and
Implications, 4, 37. https://doi.org/10.1186/s41235-019-0193-0.
Article
Google Scholar
Moreton, R., Pike, G., & Havard, C. (2019). A task- and role-based perspective on super-recognizers: Commentary on ‘Super-recognizers: From the lab to the world and back again.’ British Journal of Psychology, 110, 486–488. https://doi.org/10.1111/bjop.12394
Article
PubMed
Google Scholar
Murphy, K. R., & Davidshofer, C. O. (2005). Psychological testing: Principles and applications (6th ed.). London, United Kingdom: Pearson.
Google Scholar
Murray, D., & Fussey, P. (2019). Bulk surveillance in the digital age: Rethinking the human rights law approach to bulk monitoring of communications data. Israel Law Review, 52, 31–60. https://doi.org/10.1017/S0021223718000304
Article
Google Scholar
Niegisch, P., & Thielgen, M. M. (2018). Zum Stand polizeilicher Vernehmung in Deutschland [The state of the art of interrogation in Germany]. Kriminalistik, 12(2018), 726–733.
Google Scholar
Noyes, E., Davis, J. P., Petrov, P., Gray, K. L. H., & Ritchie, K. (2021). The effect of face masks and sunglasses on identity and expression recognition with super-recognizers and typical observers. Royal Society Open Science, 8, 201169. https://doi.org/10.1098/rsos.201169
Article
PubMed
PubMed Central
Google Scholar
Phillips, P. J., Yates, A. N., Hu, Y., Hahn, C. A., Noyes, E., Jackson, K., Cavazos, J. G., Jeckeln, G., Ranjan, R., Sankaranarayanan, S., Chen, J.-C., Castillo, C. D., Chellappa, R., White, D., & O’Toole, A. J. (2018). Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms. Proceedings of the National Academy of Sciences, 115, 6171–6176. https://doi.org/10.1073/pnas.1721355115
Article
Google Scholar
Ramon, M. (2019). Super-Recognizers in Criminal Investigation—Hype or hope? Journal of Vision, 19(10), 137a. https://doi.org/10.1167/19.10.137a
Article
Google Scholar
Ramon, M. (2021). Super-recognizers—A novel diagnostic framework, 70 cases, and guidelines for future work. Neuropsychologia, 158, 107809.
Article
Google Scholar
Ramon, M., Bobak, A. K., & White, D. (2019a). Super-recognizers: From the lab to the world and back again. British Journal of Psychology, 110, 461–479. https://doi.org/10.1111/bjop.12368
Article
PubMed
PubMed Central
Google Scholar
Ramon, M., Bobak, A. K., & White, D. (2019b). Towards a ‘manifesto’ for super-recognizer research. British Journal of Psychology, 110, 495–498. https://doi.org/10.1111/bjop.12411
Article
PubMed
PubMed Central
Google Scholar
Ramon, M., & Gobbini, M. I. (2018). Familiarity matters: A review on prioritized processing of personally familiar faces. Visual Cognition, 26(3), 179–195. https://doi.org/10.1080/13506285.2017.1405134
Article
Google Scholar
Ramon, M., & Rjosk, S. (2021). Super-recognizer in policing—Best practices established during development of the Berlin Model for SR-identification (BeMo SR-id). Best practice handbook of the EU-project SafeCi—Saver space for saver cities.
Ratcliffe, J. H., Taniguchi, T., & Taylor, R. B. (2009). The crime reduction effects of public CCTV cameras: A multi-method spatial approach. Justice Quarterly, 26, 746–770. https://doi.org/10.1080/07418820902873852
Article
Google Scholar
Rattner, A. (1988). Convicted but innocent. Law and Human Behavior, 12, 283–293. https://doi.org/10.1007/BF01044385
Article
Google Scholar
Richard, F. D., Bond, C. F., & Stokes-Zoota, J. J. (2003). One hundred years of social psychology quantitatively described. Review of General Psychology, 7, 331–363. https://doi.org/10.1037/1089-32680.7.4.331
Article
Google Scholar
Rjosk, S. (2021). Super-recognizers in (Berlin) law enforcement. Neuropsychologica, 158, 107806.
Article
Google Scholar
Robertson, D. J. (2018). Face recognition: Security contexts, super-recognizers, and sophisticated fraud. The Journal of the United States Homeland Defence and Security Information Analysis Center (HDIAC), 5, 6–10.
Google Scholar
Robertson, D., Black, J., Chamberlain, B., Megreya, A. M., & Davis, J. P. (2019b). Super recognisers show an advantage for other race face identification. Applied Cognitive Psychology. https://doi.org/10.1002/acp.3608
Article
Google Scholar
Robertson, D. J., Fysh, M. C., & Bindemann, M. (2019a). Facial identity verification. Five challenges facing practitioners. Keesing Journal of Documents & Identity, 59, 3–8.
Google Scholar
Robertson, D. J., Noyes, E., Dowsett, A. J., Jenkins, R., & Burton, A. M. (2016). Face recognition by metropolitan police super-recognizers. PLoS ONE, 11, e0150036. https://doi.org/10.1371/journal.pone.0150036
Article
PubMed
PubMed Central
Google Scholar
Russell, R., Chatterjee, G., & Nakayama, K. (2012). Developmental prosopagnosia and super-recognition: No special role for surface reflectance processing. Neuropsychologia, 50, 334–340. https://doi.org/10.1016/j.neuropsychologia.2011.12.004
Article
PubMed
Google Scholar
Russell, R., Duchaine, B., & Nakayama, K. (2009). Super-recognizers: People with extraordinary face recognition ability. Psychonomic Bulletin and Review, 16, 252–257. https://doi.org/10.3758/PBR.16.2.252
Article
PubMed
Google Scholar
Sackett, P. R., Walmsley, P. T., & Laczo, R. M. (2012). Job and work analysis. In I. Weiner, N. W. Schmitt, & S. Highhouse (Eds.), Handbook of psychology (2nd ed.). Hoboken: Wiley. https://doi.org/10.1002/9781118133880.hop212004
Chapter
Google Scholar
Sauer, J. D., & Brewer, N. (2015). Confidence and accuracy of eyewitness identification. In T. Valentine & J. P. Davis (Eds.), Forensic facial identification: theory and practice of identification from eyewitnesses, composites and CCTV (pp. 185–208). Hoboken, NJ: Wiley.
Google Scholar
Schattauer, G. (2020, June 24). Stuttgarter Gewalt-Nacht: Zeugen schicken Polizei mehr als 6500 Tatvideos und Bilder. Focus, Retrieved July 6, 2020 from https://www.focus.de/politik/wir-erhalten-stuendlich-neues-material-stuttgarter-gewalt-nacht-zeugen-schicken-der-polizei-mehr-als-6500-videos-und-bilder_id_12136106.html
Schmidt, F. L., & Hunter, J. E. (1998). The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings. Psychological Bulletin, 124, 262–274. https://doi.org/10.1037/0033-2909.124.2.262
Article
Google Scholar
Schuler, H. (2000). Psychologische Personalauswahl [Psychological personnel selection]. Göttingen, Germany: Hogrefe.
Google Scholar
Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22, 1359–1366. https://doi.org/10.1177/0956797611417632
Article
PubMed
Google Scholar
Singh, I. L., Tiwari, T., & Singh, A. L. (2007). Effects of target expectancy and cognitive demand on vigilance performance. Journal of the Indian Academy of Applied Psychology, 33, 151–156.
Google Scholar
Sporer, S. L. (1992). Das Wiedererkennen von Gesichtern. Weinheim, Germany: Beltz/PVU.
Google Scholar
Stacchi, L., Huguenin-Elie, E., Caldara, R., & Ramon, M. (2020). Normative data for two challenging tests of face matching under ecological conditions. Cognitive Research: Principles and Implications, 5, 8. https://doi.org/10.1186/s41235-019-0205-0
Article
Google Scholar
Stanislaw, H., & Todorov, N. (1999). Calculation of signal detection theory measures. Behavior Research Methods, Instruments, & Computers, 31, 137–149. https://doi.org/10.3758/BF03207704
Article
Google Scholar
Sutherland, C. A. M., Oldmeadow, J. A., Santos, I. M., Towler, J., Burt, D. M., & Young, A. W. (2013). Social inferences from faces: Ambient images generate a three-dimensional model. Cognition, 127, 105–118. https://doi.org/10.1016/j.cognition.2012.12.001
Article
PubMed
Google Scholar
Tanner, W., & Swets, J. (1954). The human use of information–I: Signal detection for the case of the signal known exactly. Transactions of the IRE Professional Group on Information Theory, 4, 213–221. https://doi.org/10.1109/TIT.1954.1057461
Article
Google Scholar
Tardif, J., Duchesne, X. M., Cohan, S., Royer, J., Blais, C., Fiset, D., Duchaine, B., & Gosselin, F. (2018). Use of face information varies systematically from developmental prosopagnosis to super-recoginzers. Psychological Science. https://doi.org/10.1177/0956797618811338
Article
PubMed
Google Scholar
Taylor, H. C., & Russell, J. T. (1939). The relationship of validity coefficients to the practical effectiveness of tests in selection: Discussion and tables. Journal of Applied Psychology, 23, 565.
Article
Google Scholar
Tickner, A. H., & Poulton, E. C. (1975). Watching for people and actions. Ergonomics, 18, 35–51. https://doi.org/10.1080/00140137508931438
Article
Google Scholar
Towler, A., Kemp, R. I., Burton, A. M., Dunn, J. D., Wayne, T., Moreton, R., & White, D. (2019). Do provessional facial image comparison training courses work? PLoS ONE, 14, e0211037.
Article
Google Scholar
Towler, A., Kemp, R. I., & White, D. (2017). Unfamiliar face matching systems in applied settings. In M. Bindemann & A. M. Megreya (Eds.), Face processing: Systems, disorders and cultural differences (pp. 21–40). Hauppauge, NY: Nova Science.
Google Scholar
Tree, J. J., Horry, R., Riley, H., & Wilmer, J. B. (2017). Are portrait artists superior face recognizers? Limited impact of adult experience on face recognition ability. Journal of Experimental Psychology: Human Perception and Performance, 43, 667–676. https://doi.org/10.1037/xhp0000328
Article
PubMed
Google Scholar
Treisman, A. M., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12, 97–136. https://doi.org/10.1016/0010-0285(80)90005-5
Article
PubMed
Google Scholar
Verhallen, R. J., Bosten, J. M., Goodbourn, P. T., Lawrance-Owen, A. J., Bargary, G., & Mollon, J. D. (2017). General and specific factors in the processing of faces. Vision Research, 141, 217–227. https://doi.org/10.1016/j.visres.2016.12.014
Article
PubMed
Google Scholar
Vernon, R. J. W., Sutherland, C. A. M., Young, A. W., & Hartley, T. (2014). Modeling first impressions from highly variable facial images. Proceedings of the National Academy of Sciences, USA, 111, E3353–E3361. https://doi.org/10.1073/pnas.1409860111
Article
Google Scholar
Vrij, A., & Granhag, P. A. (2014). Eliciting information and detecting lies in intelligence interviewing: An overview of recent research. Applied Cognitive Psychology, 28, 936–944. https://doi.org/10.1002/acp.3071
Article
Google Scholar
Wang, R., Li, J., Fang, H., Tian, M., & Liu, J. (2012). Individual differences in holistic processing predict face recognition ability. Psychological Science, 23, 169–177. https://doi.org/10.1177/0956797611420575
Article
PubMed
Google Scholar
Warm, J. S., & Dember, W. N. (1998). Tests of vigilance taxonomy. In R. R. Hoffman, M. F. Sherrick, & J. S. Warm (Eds.), Viewing psychology as a whole: The integrative science of William N. Dember (pp. 87–112). Washington, DC: American Psychological Association.
Chapter
Google Scholar
Wells, G. L., & Olson, E. A. (2003). Eyewitness testimony. Annual Review of Psychology, 54, 277–295. https://doi.org/10.1146/annurev.psych.54.101601.145028
Article
PubMed
Google Scholar
Wells, G. L., Olson, E. A., & Charman, S. D. (2002). The confidence of eyewitnesses in their identifications form lineups. Current Directions in Psychological Science, 11, 151–154. https://doi.org/10.1111/1467-8721.00189
Article
Google Scholar
White, D., Kemp, R. I., Jenkins, R., Matheson, M., & Burton, A. M. (2014). Passport officers’ errors in face matching. PLoS ONE, 9, e103510. https://doi.org/10.1371/journal.pone.0103510
Article
PubMed
PubMed Central
Google Scholar
Wickens, C. D., Gempler, K., & Morphew, M. E. (2000). Workload and reliability of predictor displays in aircraft traffic avoidance. Transportation Human Factors, 2, 99–126. https://doi.org/10.1207/STHF0202_01
Article
Google Scholar
Wilkinson, C., & Evans, R. (2009). Are facial image analysis experts any better than the general public at identifying individuals from CCTV images? Science & Justice, 49, 191–196.
Article
Google Scholar
Wirth, B. E., & Carbon, C. C. (2017). An easy game for frauds? Effects of professional experience and time pressure on passport-matching performance. Journal of Experimental Psychology: Applied, 23, 138–157. https://doi.org/10.1037/xap0000114
Article
PubMed
Google Scholar
Wolfe, J. M. (1994). Guided search 2.0 a revised model of visual search. Psychonomic Bulletin & Review, 1, 202–238. https://doi.org/10.3758/BF03200774
Article
Google Scholar
Wolfe, J. M. (2006). Guided search 4.0: Current progress with a model of visual search. In W. Gray (Ed.), Integrated models of cognitive systems (pp. 99–119). Oxford, United Kingdom: Oxford University Press.
Google Scholar
Wolfe, J. M., Horowitz, T. S., & Kenner, N. M. (2005). Rare items often missed in visual searches. Nature, 435, 439–440. https://doi.org/10.1038/435439a
Article
PubMed
PubMed Central
Google Scholar
Young, A. W., & Burton, A. M. (2017). Recognizing Faces. Current Directions in Psychological Science, 26, 212–217. https://doi.org/10.1177/0963721416688114
Article
Google Scholar
Yovel, G., Wilmer, J. B., & Duchaine, B. (2014). What can individual differences reveal about face processing? Frontiers in Human Neuroscience, 8, 562. https://doi.org/10.3389/fnhum.2014.00562
Article
PubMed
PubMed Central
Google Scholar