The effect of various focal length photographs on eyewitness identification accuracy; pp. 354–360Full article in PDF format | 10.3176/proc.2021.4S.07
A key factor that has rarely been investigated regarding the technical details of photographs in eyewitness identification research is focal length. Focal length can be defined as the distance between the camera lens and the camera sensor, providing variance in the viewing angle and magnification of objects in the frame. In this paper, the effect of various focal length photographs on eyewitness identification accuracy is examined. Ninety adult participants watched a video of a mock theft, after which they were randomly shown a simultaneous six-person target-present lineup of photographs using a 24mm, 50mm or 100mm focal length. The participants who viewed photographs taken with either a 100mm or 50mm focal length identified the suspect more often than those who viewed photographs taken with a 24mm focal length. Based on these findings, we suggest that the standard focal length of photographs used for the purpose of eyewitness identification should always be between 50 mm and 100 mm.
Australian Government. 2018. Camera Operator Guidelines.
https://www.passports.gov.au/files/brochure-camera-operator-guidelines (accessed 2019-11-12).
Bach, M. 2007. The Freiburg Visual Acuity Test – Variability unchanged by post-hoc re-analysis. Graefes Arch. Clin. Exp. Ophthalmol., 245, 965–971.
Banks, M. S., Cooper, E. A. and Piazza, E. A. 2014. Camera focal length and the perception of pictures. Ecol. Psychol., 26, 30–46.
Bindemann, M., Attard, J., Leach, A. and Johnston, R. A. 2013. The effect of image pixelation on unfamiliar-face matching. Appl. Cogn. Psychol., 27(6), 707–717.
Cohen, J. 1988. Statistical Power Analysis for the Behavioural Sciences. 2nd edition. Lawrence Erlbaum Associates, Hillsdale, NJ.
Doob, A. N. and Kirshenbaum, H. M. 1973. The effects on arousal of frustration and aggressive films. J. Exp. Soc. Psychol., 9(1), 57–64.
Faul, F., Erdfelder, E., Buchner, A. and Lang, A.-G. 2009. Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behav. Res. Methods, 41, 1149–1160.
Fitzgerald, R. J., Price, H. L. and Valentine, T. 2018. Eyewitness identification: Live, photo, and video lineups. Psychol. Public Policy, Law, 24(3), 307–325.
Germany Visa. 2021. Visa Photo Requirements. https://www. germany-visa.org/visa-photo-requirements (accessed 2021-09-11).
Hole, G. and Bourne, V. 2010. Face Processing: Psychological, Neuropsychological and Applied Perspectives. Oxford University Press.
Hugdahl, K. 2000. What can be learned about brain function from dichotic listening? Rev. Esp. Neuropsicol., 2(3), 62–84.
Jenkins, F. A. and White, H. E. 2001. Fundamentals of Optics. 4th ed. McGraw-Hill, New York, NY.
Kelby, S. 2010. The Digital Photography Book, vol. 3. Peachpit Press, San Francisco, CA.
Knoche, H., McCarthy, J. D. and Sasse, M. A. 2005. Can small be beautiful? Assessing image resolution requirements for mobile TV. In MULTIMEDIA ’05: Proceedings of the 13th Annual ACM International Conference on Multimedia, Singapore, November 6–11, 2005, 829–838.
Lampinen, J. M., Neuschatz, J. S. and Cling, A. D. 2012. The Psychology of Eyewitness Identification (Essays in Cognitive Psychology). Psychology Press, New York, NY.
Lampinen, J. M., Erickson, W. B., Moore, K. N. and Hittson, A. 2014. Effects of distance on face recognition: implications for eyewitness identification. Psychonomic Bulletin & Review, 21, 1489–1494.
Langford, M. 1998. Advanced Photography. Focal Press, Oxford.
Lindsay, R. C. L., Ross, D. F., Read, J. D. and Toglia, M. P. (eds). 2007. The Handbook of Eyewitness Psychology: Memory for People, vol. 2. Psychology Press, New York, NY.
Malpass, R. S. and Lindsay, R. C. L. 1999. Measuring lineup fairness. Appl. Cogn. Psychol., 13(S1), S1–S7.
Mickes, L. and Gronlund, S. D. 2017. Eyewitness identification. In Learning and Memory: A Comprehensive Reference. 2nd ed. (Byrne, J. H., ed.), pp. 529–552, Elsevier.
Peirce, J. W. 2007. PsychoPy – Psychophysics software in Python. J. Neurosci. Methods, 162(1–2), 8–13.
Peron, A. P. L. M., Morosini, I. C., Correia, K. R., Moresca, R. and Petrelli, E. 2012. Photometric study of divine proportion and its correlation with facial attractiveness. Dental Press J. Orthod., 17(2), 124–131.
Perona, P. 2007. A new perspective on portraiture. J. Vis., 7, 992.
Police of Finland. 2019. Photography Technical Properties.
https://www.poliisi.fi/licences/passport/photography_technical_properties (accessed 2019-11-12).
Psychology Software Tools, Inc. [E-Prime 2.0]. 2020.
Regulation of the Minister of Internal Affairs. 2016. Requirements for photographs in applying for issue of identity documents. State Gazette I, 18.11.2016, 5 (in Estonian).
Sauer, J. and Brewer, N. 2015. Confidence and accuracy of eyewitness identification. In Forensic Facial Identification: Theory and Practice of Identification from Eyewitnesses, Composites and CCTV (Valentine, T. and Davis, J. P., eds), pp. 185–208, Wiley Blackwell, Chichester.
Schyns, P. G., Bonnar, L. and Gosselin, F. 2002. Show me the features! Understanding recognition from the use of visual information. Psychol. Sci., 13(5), 402–409.
Sinha, P., Balas, B., Ostrovsky, Y. and Russell, R. 2006. Face recognition by humans: Nineteen results all computer vision researchers should know about. Proc. IEEE, 94(11), 1948–1962.
Stroop, J. R. 1935. Studies of interference in serial verbal reactions. J. Exp. Psychol., 18, 643–662.
Tistarelli, M., Li, S. Z. and Chellappa, R. (eds). 2009. Handbook of Remote Biometrics: for Surveillance and Security (Advances in Computer Vision and Pattern Recognition). Springer, London.
Tredoux, C. G. 1998. Statistical inference on measures of lineup fairness. Law Hum. Behav., 22(2), 217–237.
Třebický, V., Fialová, J., Kleisner, K. and Havlíček, J. 2016. Focal length affects depicted shape and perception of facial images. PloS One, 11(2), e0149313.
U. S. Department of State. 2021. Guidelines for Producing High Quality Photographs for U.S. Travel Documents – for Visa Online Applications.
https://dokument.pub/ql/guidelines-for-producing-high-quality-photographs-for-us-flipbook-pdf (accessed 2021-09-12).
Verhoff, M. A., Witzel, C., Kreutz, K. and Ramsthaler, F. 2008. The ideal subject distance for passport pictures. Forensic Sci. Int., 178(2–3), 153–156.
Wilcock, R., Crane, L., Hobson, Z., Nash, G., Kirke-Smith, M. and Henry, L. A. 2018. Supporting child witnesses during identification lineups: Exploring the effectiveness of registered intermediaries. Appl. Cogn. Psychol., 32(3), 367–375.
Wilkinson, C. and Rynn, C. (eds). 2012. Craniofacial Identification. Cambridge University Press.
Wixted, J. T. and Wells, G. L. 2017. The relationship between eyewitness confidence and identification accuracy: A new synthesis. Psychol. Sci. Public Interest, 18(1), 10–65.
Wixted, J. T., Mickes, L., Dunn, J. C., Clark, S. E. and Wells, W. 2016. Estimating the reliability of eyewitness identifications from police lineups. Proc. Natl. Acad. Sci. U. S. A., 113(2), 304–309.
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