Althoff, R., Cohen, N. J., McConkie, G., Wasserman, S., Maciukenas, M., Azen, R., & Romine, L. (1999). Eye movement-based memory assessment. In W. Becker, H. Deubel, & T. Mergner (Eds.), Current oculomotor research, (pp. 293–302). New York: Kluwer Academic/Plenum Publishers.
Google Scholar
Althoff, R. R. (1998). Eye movement-based memory assessment: the use of eye movement monitoring as an indirect measure of memory. Unpublished doctoral dissertation, University of Illinois at Urbana-Champaign, Urbana.
Google Scholar
Althoff, R. R., & Cohen, N. J. (1999). Eye-movement-based memory effect: a reprocessing effect in face perception. Journal of Experimental Psychology: Learning, Memory, and Cognition, 25(4), 997–1010 https://doi.org/10.1037/0278-7393.25.4.997.
PubMed
Google Scholar
Balas, B., Cox, D., & Conwell, E. (2007). The effect of real-world personal familiarity on the speed of face information processing. PLoS One, 2(11), e1223 https://doi.org/10.1371/journal.pone.0001223.
PubMed
PubMed Central
Google Scholar
Barton, J. J. S., Radcliffe, N., Cherkasova, M. V., Edelman, J., & Intriligator, J. M. (2006). Information processing during face recognition: the effects of familiarity, inversion, and morphing on scanning fixations. Perception, 35(8), 1089–1105 https://doi.org/10.1068/p5547.
PubMed
Google Scholar
Bate, S., Haslam, C., Tree, J. J., & Hodgson, T. L. (2008). Evidence of an eye movement-based memory effect in congenital prosopagnosia. Cortex, 44(7), 806–819 https://doi.org/10.1016/j.cortex.2007.02.004.
PubMed
Google Scholar
Ben-Shakhar, G. (1985). Standardization within individuals: a simple method to neutralize individual differences in skin conductance. Psychophysiology, 22(3), 292–299 https://doi.org/10.1111/j.1469-8986.1985.tb01603.x.
PubMed
Google Scholar
Ben-Shakhar, G., & Elaad, E. (2003). The validity of psychophysiological detection of information with the Guilty Knowledge Test: a meta-analytic review. Journal of Applied Psychology, 88(1), 131–151 https://doi.org/10.1037/0021-9010.88.1.131.
PubMed
Google Scholar
Ben-Shakhar, G., Lieblich, I., & Kugelmass, S. (1970). Guilty knowledge technique: application of signal detection measures. Journal of Applied Psychology, 54(5), 409–413 https://doi.org/10.1037/h0029781.
Google Scholar
Bindemann, M., Scheepers, C., Ferguson, H. J., & Burton, A. M. (2010). Face, body, and center of gravity mediate person detection in natural scenes. Journal of Experimental Psychology: Human Perception and Performance, 36(6), 1477–1485 https://doi.org/10.1037/a0019057.
PubMed
Google Scholar
Bobak, A. K., Parris, B. A., Gregory, N. J., Bennetts, R. J., & Bate, S. (2017). 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.
PubMed
Google Scholar
Bond, C. F., & DePaulo, B. M. (2016). Accuracy of Deception Judgments. Personality and Social Psychology Review, 10(3), 214–234.
Google Scholar
Borji, A., & Itti, L. (2013). State-of-the-art in visual attention modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(1), 185–207.
PubMed
Google Scholar
Borji, A., Parks, D., & Itti, L. (2014). Complementary effects of gaze direction and early saliency in guiding fixations during free viewing. Journal of Vision, 14(13), 3 https://doi.org/10.1167/14.13.3.
PubMed
Google Scholar
Bruce, V., & Young, A. (1986). Understanding face recognition. British Journal of Psychology, 77(3), 305–327 https://doi.org/10.1111/j.2044-8295.1986.tb02199.x.
PubMed
Google Scholar
Burton, A., Bruce, V., & Hancock, P. (1999). From pixels to people: a model of familiar face recognition. Cognitive Science, 23(1), 1–31 https://doi.org/10.1207/s15516709cog2301_1.
Google Scholar
Burton, A. M., White, D., & McNeill, A. (2010). The Glasgow face matching test. Behavior Research Methods, 42, 286–291 https://doi.org/10.3758/BRM.42.1.286.
PubMed
Google Scholar
Burton, M. A., Jenkins, R., & Schweinberger, S. R. (2011). Mental representations of familiar faces. British Journal of Psychology, 102(4), 943–958 https://doi.org/10.1111/j.2044-8295.2011.02039.x.
PubMed
Google Scholar
Carmel, D., Dayan, E., Naveh, A., Raveh, O., & Ben-Shakhar, G. (2003). Estimating the validity of the guilty knowledge test from simulated experiments: the external validity of mock crime studies. Journal of Experimental Psychology: Applied, 9(4), 261–269 https://doi.org/10.1037/1076-898X.9.4.261.
PubMed
Google Scholar
Chua, E. F., Hannula, D. E., & Ranganath, C. (2012). Distinguishing highly confident accurate and inaccurate memory: insights about relevant and irrelevant influences on memory confidence. Memory, 20(1), 48–62 https://doi.org/10.1080/09658211.2011.633919.
PubMed
PubMed Central
Google Scholar
Collishaw, S. M., & Hole, G. J. (2000). Featural and configurational processes in the recognition of faces of different familiarity. Perception, 29(8), 893–909 https://doi.org/10.1068/p2949.
PubMed
Google Scholar
Cook, A. E., Hacker, D. J., Webb, A. K., Osher, D., Kristjansson, S. D., Woltz, D. J., & Kircher, J. C. (2012). Lyin ‘eyes: ocular-motor measures of reading reveal deception. Journal of Experimental Psychology: Applied, 18(3), 301–313 https://doi.org/10.1037/a0028307.
PubMed
Google Scholar
Cornelissen, P. L., Hancock, P. J. B., Kiviniemi, V., George, H. R., & Tovée, M. J. (2009). Patterns of eye movements when male and female observers judge female attractiveness, body fat and waist-to-hip ratio. Evolution and Human Behavior, 30(6), 417–428 https://doi.org/10.1016/j.evolhumbehav.2009.04.003.
Google Scholar
DePaulo, B. M., Charlton, K., Cooper, H., Lindsay, J. J., & Muhlenbruck, L. (1997). The accuracy-confidence correlation in the detection of deception. Personality and Social Psychology Review, 1(4), 346–357 https://doi.org/10.1207/s15327957pspr0104_5.
PubMed
Google Scholar
Ellis, H. D., Shepherd, J. W., & Davies, G. M. (1979). Identification of familiar and unfamiliar faces from internal and external features: some implications for theories of face recognition. Perception, 8(4), 431–439 https://doi.org/10.1068/p080431.
PubMed
Google Scholar
Farah, M. J., Wilson, K. D., Drain, M., & Tanaka, J. N. (1998). What is “special” about face perception? Psychological Review, 105(3), 482–498 https://doi.org/10.1037/0033-295X.105.3.482.
PubMed
Google Scholar
Faul, F., Erdfelder, E., Lang, A. G., Buchner, A., et al. (2007). G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191 https://doi.org/10.3758/BF03193146.
Google Scholar
Gamer, M. (2011). Detecting concealed information using autonomic measures. In B. Verschuere, G. Ben-shakhar, & E. Meijer (Eds.), Memory detection: theory and application of the concealed information test, (pp. 27–45). Cambridge: Cambridge University Press.
Google Scholar
Gamer, M., & Pertzov, Y. (2018). Detecting concealed knowledge from ocular responses. In J. P. Rosenfeld (Ed.), Detecting concealed information and deception: recent developments, (vol. 38, pp. 169–186). Cambridge: Academic Press https://doi.org/10.1016/j.tins.2015.02.002.
Google Scholar
Gamer, M., Verschuere, B., Crombez, G., & Vossel, G. (2008). Combining physiological measures in the detection of concealed information. Physiology & Behavior, 95(3), 333–340 https://doi.org/10.1016/j.physbeh.2008.06.011.
Google Scholar
Georgiadou, K., Chronos, A., Verschuere, B., & Sauerland, M. (2019). Reaction time-based concealed information test in eyewitness identification is moderated by picture similarity but not eyewitness cooperation. Psychological Research, 1–11 https://doi.org/10.1007/s00426-018-1139-8.
Glaholt, M. G., & Reingold, E. M. (2011). Eye movement monitoring as a process tracing methodology in decision making research. Journal of Neuroscience, Psychology, and Economics, 4(2), 125–146 https://doi.org/10.1037/a0020692.
Google Scholar
Gobbini, M. I., Gors, J. D., Halchenko, Y. O., Rogers, C., Guntupalli, J. S., Hughes, H., & Cipolli, C. (2013). Prioritized detection of personally familiar faces. PLoS One, 8(6), e66620 https://doi.org/10.1371/journal.pone.0066620.
PubMed
PubMed Central
Google Scholar
Gobbini, M. I., & Haxby, J. V. (2007). Neural systems for recognition of familiar faces. Neuropsychologia, 45, 32–41 https://doi.org/10.1016/j.neuropsychologia.2006.04.015.
PubMed
Google Scholar
Greenwald, A. G., Nosek, B. A., & Banaji, M. R. (2003). Understanding and using the implicit association test: I. An improved scoring algorithm. Journal of Personality and Social Psychology, 85(2), 197–216 https://doi.org/10.1037/0022-3514.85.2.197.
PubMed
Google Scholar
Hancock, P. (n.d.). PICS: The psychological image collection at stirling. Stirling: University of Stirling http://pics.stir.ac.uk.
Hancock, P. J. B., Bruce, V., & Burton, A. M. (2000). Recognition of unfamiliar faces. Trends in Cognitive Sciences, 4(9), 330–337 https://doi.org/10.1016/S1364-6613(00)01519-9.
PubMed
Google Scholar
Hannula, D. E., Althoff, R. R., Warren, D. E., Riggs, L., Cohen, N. J., & Ryan, J. D. (2010). Worth a glance: using eye movements to investigate the cognitive neuroscience of memory. Frontiers in Human Neuroscience, 4, 166 https://doi.org/10.3389/fnhum.2010.00166.
PubMed
PubMed Central
Google Scholar
Hayes, T. R., & Henderson, J. M. (2019). Scene semantics outperform center bias during scene memorization, image saliency models do not. Journal of Vision, 19(10), 161c.
Google Scholar
Henderson, J. M., Hayes, T. R., Rehrig, G., & Ferreira, F. (2018). Meaning guides attention during real-world scene description. Scientific Reports, 8, 13504 https://doi.org/10.1038/s41598-018-31894-5.
PubMed
PubMed Central
Google Scholar
Henderson, J. M., & Hayes, T. R. (2018). Meaning guides attention in real-world scene images: Evidence from eye movements and meaning maps. Journal of Vision, 18(6), 10.
PubMed
PubMed Central
Google Scholar
Hsiao, J. H., & Cottrell, G. (2008). Two fixations suffice in face recognition. Psychological Science, 19(10), 998–1006 https://doi.org/10.1111/j.1467-9280.2008.02191.x.
PubMed
PubMed Central
Google Scholar
Johnston, R. A., & Edmonds, A. J. (2009). Familiar and unfamiliar face recognition: a review. Memory, 17(5), 577–596 https://doi.org/10.1080/09658210902976969.
PubMed
Google Scholar
Johnston, S., & Leek, C. (2009). Fixation region overlap: a quantitative method for the analysis of fixational eye movement patterns. Journal of Eye Movement Research, 1(3), 1–12 https://doi.org/10.16910/jemr.1.3.5.
Google Scholar
Kafkas, A., & Montaldi, D. (2012). Familiarity and recollection produce distinct eye movement, pupil and medial temporal lobe responses when memory strength is matched. Neuropsychologia, 50(13), 3080–3093 https://doi.org/10.1016/j.neuropsychologia.2012.08.001.
PubMed
Google Scholar
Krebs, R. M., Boehler, C. N., & Woldroff, M. G. (2010). The influence of reward associations on conflict processing in the Stroop task. Cognition, 117(3), 341–347 https://doi.org/10.1016/j.cognition.2010.08.018.
PubMed
PubMed Central
Google Scholar
Lancry-Dayan, O. C., Nahari, T., Ben-Shakhar, B., & Pertzov, Y. (2018). Do you know him? Gaze dynamics towards familiar faces on a concealed information test. Journal of Applied Research in Memory and Cognition, 7(2), 291–302 https://doi.org/10.1016/j.jarmac.2018.01.011.
Google Scholar
Lao, J., Miellet, S., Pernet, C., Sokhn, N., & Caldara, R. (2017). iMap4: an open source toolbox for the statistical fixation mapping of eye movement data with linear mixed modeling. Behavior Research Methods, 49(2), 559–575 https://doi.org/10.3758/s13428-016-0737-x.
PubMed
Google Scholar
Leek, E. C., Cristino, F., Conlan, L. I., Patterson, C., Rodriguez, E., & Johnston, S. J. (2012). Eye movement patterns during the recognition of three-dimensional objects: preferential fixation of concave surface curvature minima. Journal of Vision, 12(1), 7–7 https://doi.org/10.1167/12.1.31.
PubMed
Google Scholar
Lefebvre, C. D., Marchand, Y., Smith, S. M., & Connolly, J. F. (2009). Use of event-related brain potentials (ERPs) to assess eyewitness accuracy and deception. International Journal of Psychophysiology, 73(3), 218–225 https://doi.org/10.1016/j.ijpsycho.2009.03.003.
PubMed
Google Scholar
Leongómez, J. D., Binter, J., Kubicová, L., Stolařová, P., Klapilová, K., Havlíček, J., & Roberts, S. C. (2014). Vocal modulation during courtship increases proceptivity even in naive listeners. Evolution and Human Behavior, 35(6), 489–496 https://doi.org/10.1016/j.evolhumbehav.2014.06.008.
Google Scholar
Loftus, G. R., & Mackworth, N. H. (1978). Cognitive determinants of fixation location during picture viewing. Journal of Experimental Psychology: Cognition, Perception, and Performance, 4(4), 565–572 https://doi.org/10.1037/0096-1523.4.4.565.
Google Scholar
Mahoney, E. J., Kapur, N., Osmon, D., & Hannula, D. (2018). Eye tracking as a tool for the detection of simulated memory impairment. Journal of Applied Research in Memory and Cognition, 7(3), 441–453 https://doi.org/10.1016/j.jarmac.2018.05.004.
Google Scholar
Meijer, E. H., Klein Selle, N., Elber, L., & Ben-Shakhar, G. (2014). Memory detection with the concealed information test: a meta analysis of skin conductance, respiration, heart rate, and P300 data. Psychophysiology, 51(9), 879–904 https://doi.org/10.1111/psyp.12239.
PubMed
Google Scholar
Meijer, E. H., Smulders, F. T. Y., Merckelbach, H. L., & Wolf, A. G. (2007). The P300 is sensitive to concealed face recognition. International Journal of Psychophysiology, 66(3), 231–237 https://doi.org/10.1016/j.ijpsycho.2007.08.001.
PubMed
Google Scholar
Millen, A. E., & Hancock, P. J. B. (2019). Eye see through you! Eye tracking unmasks concealed face recognition despite countermeasures. Cognitive Research: Principles and Implications, 4(1), 23.
Google Scholar
Millen, A. E., Hope, L., Hillstrom, A. P., & Vrij, A. (2017). Tracking the truth: the effect of face familiarity on eye fixations during deception. Quarterly Journal of Experimental Psychology, 70(5), 930–943 https://doi.org/10.1080/17470218.2016.1172093.
Google Scholar
Nahari, T., Lancry-Dayan, O., Ben-Shakhar, G., & Pertzov, Y. (2019). Detecting concealed familiarity using eye movements: the role of task demands. Cognitive Research: Principles and Implications, 4(1), 10 https://doi.org/10.1186/s41235-019-0162-7.
Google Scholar
Natu, V., & Toole, A. J. O. (2011). The neural processing of familiar and unfamiliar faces: a review and synopsis. British Journal of Psychology, 102(4), 726–747 https://doi.org/10.1111/j.2044-8295.2011.02053.x.
PubMed
Google Scholar
Peth, J., Kim, J. S. C., & Gamer, M. (2013). Fixations and eye-blinks allow for detecting concealed crime related memories. International Journal of Psychophysiology, 88(1), 96–103 https://doi.org/10.1016/j.ijpsycho.2013.03.003.
PubMed
Google Scholar
Peth, J., Suchotzki, K., & Gamer, M. (2016). Influence of countermeasures on the validity of the concealed information test. Psychophysiology, 53(9), 1429–1440 https://doi.org/10.1111/psyp.12690.
PubMed
Google Scholar
Ramon, M., & Gobbini, M. I. (2017). 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.
Google Scholar
Renninger, L. W., Vergheese, P., & Coughlan, J. (2007). Where to look next? Eye movements reduce local uncertainty. Journal of Vision, 7(3), 6, 1–6,17 https://doi.org/10.1167/7.3.6.
Google Scholar
Richler, J. J., Mack, M. L., Gauthier, I., & Palmeri, T. J. (2009). Holistic processing of faces happens at a glance. Vision Research, 49(23), 2856–2861 https://doi.org/10.1016/j.visres.2009.08.025.
PubMed
PubMed Central
Google Scholar
Ritchie, K. L., & Burton, M. A. (2017). Learning faces from variability. Quarterly Journal of Experimental Psychology, 70(5), 897–905 https://doi.org/10.1080/17470218.2015.1136656.
Google Scholar
Russo, E. J. (2011). Eye fixations as a process trace. In M. Schulte-Mecklenbeck, A. Kuhberger, & R. Rob (Eds.), A handbook of process tracing methods: a critical review and user’s guide, (pp. 43–64). Hove: Psychology Press.
Google Scholar
Ryan, J. D., Althoff, R. R., Whitlow, S., & Cohen, N. J. (2000). Amnesia is a deficit in relational memory. Psychological Science, 11(6), 454–461 https://doi.org/10.1111/1467-9280.00288.
PubMed
Google Scholar
Ryan, J. D., Hannula, D. E., & Cohen, N. J. (2007). The obligatory effects of memory on eye movements. Memory, 15(5), 508–525 https://doi.org/10.1080/09658210701391022.
PubMed
Google Scholar
Sauer, J. D., Brewer, N., & Weber, N. (2008). Multiple confidence estimates as indices of eyewitness memory. Journal of Experimental Psychology. General, 137(3), 528–547 https://doi.org/10.1037/a0012712.
Google Scholar
Sauerland, M., Sagana, A., Sporer, S. L., & Wixted, J. T. (2018). Decision time and confidence predict choosers’ identification performance in photographic showups. PLoS One, 13(1), e0190416 https://doi.org/10.1371/journal.pone.0190416.
PubMed
PubMed Central
Google Scholar
Sauerland, M., Wolfs, A. C. F., Crans, S., & Verschuere, B. (2017). Testing a potential alternative to traditional identification procedures: reaction time-based concealed information test does not work for lineups with cooperative witnesses. Psychological Research, 83, 1210–1222 https://doi.org/10.1007/s00426-017-0948-5.
PubMed
PubMed Central
Google Scholar
Schacter, D. L., Norman, K. A., & Koutstaal, W. (1998). The cognitive neuroscience of constructive memory. Annual Review of Psychology, 49(1), 289–318 https://doi.org/10.1146/annurev.psych.49.1.289.
PubMed
Google Scholar
Schwedes, C., & Wentura, D. (2012). The revealing glance: eye gaze behavior to concealed information. Memory & Cognition, 40(4), 642–651 https://doi.org/10.3758/s13421-011-0173-1.
Google Scholar
Schwedes, C., & Wentura, D. (2016). Through the eyes to memory: fixation durations as an early indirect index of concealed knowledge. Memory & Cognition, 44(8), 1244–1258 https://doi.org/10.3758/s13421-016-0630-y.
Google Scholar
Schyns, P. G., Bonnar, L., & Gosselin, F. (2002). Show me the features! Understanding recognition from the use of visual information. Psychological Science, 13(5), 402–409 https://doi.org/10.1111/1467-9280.00472.
PubMed
Google Scholar
Seymour, T. (2001). A EPIC model of the “guilty knowledge effect”: strategic and automatic processes in recognition. Dissertation Abstracts International: Section B: The Sciences & Engineering, 61, 5591.
Google Scholar
Seymour, T. L., Baker, C. A., Gaunt, J. T. (2005). Task & strategic influences on the eye-movement based memory effect. Poster presented at the annual meeting of the Psychonomic Society.
Google Scholar
Seymour, T. L., Baker, C. A., & Gaunt, J. T. (2013). Combining blink, pupil, and response time measures in a concealed knowledge test. Frontiers in Psychology, 3, 614 https://doi.org/10.3389/fpsyg.2012.00614.
PubMed
PubMed Central
Google Scholar
Seymour, T. L., & Fraynt, B. R. (2009). Time and encoding effects in the concealed knowledge test. Applied Psychophysiology and Biofeedback, 34(3), 177–187 https://doi.org/10.1007/s10484-009-9092-3.
PubMed
PubMed Central
Google Scholar
Seymour, T. L., & Kerlin, J. R. (2008). Successful detection of verbal and visual concealed knowledge using an RT-based paradigm. Applied Cognitive Psychology, 22(4), 475–490 https://doi.org/10.1002/acp.1375.
Google Scholar
Smith, C. N., & Squire, L. R. (2008). Experience-dependent eye movements reflect hippocampus-dependent (aware) memory. The Journal of Neuroscience, 28(48), 12825–12833 https://doi.org/10.1523/JNEUROSCI.4542-08.2008.
PubMed
PubMed Central
Google Scholar
Suchotzki, K., Verschuere, B., Van Bockstaele, B., Ben-Shakhar, G., & Crombez, G. (2017). Lying takes time: a meta-analysis on reaction time measures of deception. Psychological Bulletin, 143(4), 428–453 https://doi.org/10.1037/bul0000087.
PubMed
Google Scholar
Suchotzki, K., Verschuere, B., Peth, J., Crombez, G., & Gamer, M. (2015). Manipulating item proportion and deception reveals crucial dissociation between behavioral, autonomic, and neural indices of concealed information. Human Brain Mapping, 36(2), 427–439.
PubMed
Google Scholar
Tatler, B. W. (2007). The central fixation bias in scene viewing: selecting an optimal viewing position independently of motor biases and image feature distributions. Journal of Vision, 7(14), 4, 1–4,17 https://doi.org/10.1167/7.14.4.
Google Scholar
Tetterton, V. S. (2005). Using witness confidence can impair the ability to detect deception. Criminal Justice and Behavior, 32(4), 433–451 https://doi.org/10.1177/0093854805276406.
Google Scholar
Verschuere, B., Crombez, G., Degrootte, T., & Rosseel, Y. (2010). Detecting concealed information with reaction times: validity and comparison with the polygraph. Applied Cognitive Psychology, 24, 991–1002 https://doi.org/10.1002/acp.1601.
Google Scholar
Vrij, A., Fisher, R., Mann, S., & Leal, S. (2008). A cognitive load approach to lie detection. Journal of Investigative Psychology and Offender Profiling, 5, 39–43 https://doi.org/10.1002/jip.82.
Google Scholar
Walczyk, J. J., Harris, L. L., Duck, T. K., & Mulay, D. (2014). A social-cognitive framework for understanding serious lies: activation-decision-construction-action theory. New Ideas in Psychology, 34, 22–36 https://doi.org/10.1016/j.newideapsych.2014.03.001.
Google Scholar
Walker-Smith, G. J., Gale, A. G., & Findlay, J. M. (1977). Eye movement strategies involved in face perception. Perception, 6, 313–326 https://doi.org/10.1068/p060313n.
PubMed
Google Scholar
Weber, N., & Brewer, N. (2006). Positive versus negative face recognition decisions: confidence, accuracy and response latency. Applied Cognitive Psychology, 20(1), 17–31 https://doi.org/10.1002/acp.1166.
Google Scholar
Weber, N., Brewer, N., & Margitich, S. D. (2008). The confidence-accuracy relation in eyewitness identification: effects of verbal versus numeric confidence scales. In K. H. Kiefer (Ed.), Applied psychology research trends, (pp. 103–118). Hauppauge: Nova Science Publishers.
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.
PubMed
Google Scholar
Weyrauch, B., Heisele, B., Huang, J., & Blanz, V. (2004). Component-based face recognition with 3D morphable models. Conference on Computer Vision and Pattern Recognition Workshop. https://doi.org/10.1109/CVPR.2004.41.
Wiese, H., Tüttenberg, S. C., Ingram, B. T., Chan, C. Y. X., Gurbuz, Z., Burton, A. M., & Young, A. W. (2019). A robust neural index of high face familiarity. Psychological Science, 30(2), 261–272 https://doi.org/10.1177/0956797618813572.
PubMed
Google Scholar
Windschitl, P. D., & Wells, G. L. (1996). Measuring psychological uncertainty: verbal versus numeric methods. Journal of Experimental Psychology: Applied, 2(4), 343–364 https://doi.org/10.1037/1076-898X.2.4.343.
Google Scholar
Wixted, J. T., & Wells, G. L. (2017). The relationship between eyewitness confidence and identification accuracy: a new synthesis. Psychological Science in the Public Interest, 18(1), 10–65 https://doi.org/10.1177/1529100616686966.
PubMed
Google Scholar
Yarbus, A. L. (1967). Eye movements and vision (B. Haigh, Translator). New York: Plenum Press.
Google Scholar