Practical Solutions to Forensic Contextual Bias
Abstract
Abstract. In 2009, the National Research Council (NRC) globally criticized forensic science and, in particular, the potential for contextual bias to increase errors in forensic examination. Nevertheless, very few research-based solutions have been proposed and, of the current recommendations, none are consistently used in practice. Two experiments are presented here. Experiment 1 replicates and extends the Quigley-McBride and Wells (2018) study in which fingerprint lineups (the Filler-Control Procedure) were shown to neutralize the effect of contextual information on novice fingerprint evaluations. Experiment 2 demonstrates that restricting the use of evidence lineups to verification decisions would also be effective for reducing incorrect match decisions without straining resources. In both experiments, the filler-control procedure consistently reduced the effect of suggestive contextual information and protected innocent suspect prints from being mistakenly matched to crime samples. Interdisciplinary approaches are discussed as a way to help close the gap between research and forensic science practice.
References
2008). The “elasticity” of criminal evidence: A moderator of investigator bias. Applied Cognitive Psychology, 22, 1245–1259. https://doi.org/10.10002/acp.1432
(2005). More than zero: Accounting for error in latent fingerprint identification. Journal of Criminal Law and Criminology, 95, 985–1078.
(2006). Contextual information renders experts vulnerable to making erroneous identifications. Forensic Science International, 156, 74–78. https://doi.org/10.1016/j.forsciint.2005.10.017
(2010). The vision in “blind” justice: Expert perception, judgment, and visual cognition in forensic pattern recognition. Psychonomic Bulletin & Review, 17, 161–167. https://doi.org/10.3758/PBR.17.2.161
(2011). Subjectivity and bias in forensic DNA mixture interpretation. Science & Justice, 51, 204–208. https://doi.org/10.1016/j.scijus.2011.08.004
(2019). “Cannot decide: The fine line between appropriate and inconclusive determinations versus unjustifiably deciding not to decide. Journal of Forensic Science, 64, 10–14. https://doi.org/10.1111/1556-4029.13854
(2005). When emotions get the better of us: The effect of contextual top-down processing on matching fingerprints. Applied Cognitive Psychology, 19, 799–809. https://doi.org/10.1002/acp.1130
(2008). Meta-analytically quantifying the reliability and biasibility of forensic experts. Journal of Forensic Science, 53, 900–903. https://doi.org/10.1111/j.1556-4029.2008.00762.x
(2015). Context management toolbox: A linear sequential unmasking (LSU) approach for minimizing cognitive bias in forensic decision making. Journal of Forensic Science, 60, 1111–1112. https://doi.org/10.1111/1556-4029.12805
(1994). The effect of prior expectations and outcome knowledge on polygraph examiners’ decisions. Journal of Behavioral Decision Making, 7, 279–292.
(2016). Analysis, comparison, evaluation and verification methodology: FAD-LP-ACE-V methodology, Sections 1.3.4 and 1.4. Latent print section standard operating procedures. Retrieved from https://www.houstonforensicscience.org/services.php?var=44
. (2013). The forensic confirmation bias: Problems, perspectives, and proposed solutions. Journal of Applied Research in Memory and Cognition, 2, 42–52. https://doi.org/10.1016/j.jarmac.2013.01.001
(2002).
(Metacognitive judgments and their accuracy . In P. ChambresM. IzauteP. MarescauxEds., Metacognition (pp. 1–17). New York, NY: Kluwer.2014). Do confessions taint perceptions of handwriting evidence? An empirical test of the forensic confirmation bias. Law and Human Behavior, 38, 256–270. https://doi.org/10.1037/lhb0000066
(2017). Cognitive bias and blindness: A global survey of forensic science examiners. Journal of Applied Research in Memory and Cognition, 6, 452–459.
(2009). Testing for potential contextual bias effects during the verification stage of the ACE-V Methodology when conducting fingerprint comparisons. Journal of Forensic Science, 54, 571–582. https://doi.org/10.1111/j.1556-4029.2009.01025.x
(1987). Procedural bias in forensic science examinations of human hair. Law & Human Behavior, 11, 157–163. https://doi.org/10.1007/BF01040448
(2009). Strengthening forensic science in the United States: A path forward. Washington, DC: National Academies Press.
. (1998). Confirmation bias: A ubiquitous phenomenon in many guises. Review of General Psychology, 2, 175–220. https://doi.org/10.1037/1089-2680.2.2.175
(2014). Does contextual information bias bitemark comparisons? Science & Justice, 54(4), 267–273. https://doi.org/10.1016/j.scijus.2013.12.005
(2018). Fillers can help control for contextual bias in forensic comparison tasks. Law and Human Behavior, 42, 295–305. https://doi.org/10.1037/lhb0000295
(2013). Advancing innovations in social/personality psychology and health opportunities and challenges. Health Psychology, 32, 602–608. https://doi.org/10.1037/a0032116
(2003). Context effects in forensic science: A review and application of the science of science to crime laboratory practice in the United States. Science & Justice, 43, 77–90. https://doi.org/10.1016/S1355-0306(03)71747-X
(2017). Expertise with unfamiliar objects is flexible to changes in task but not changes in class. PLoS One, 12, e0178403. https://doi.org/10.1371/journal.pone.0178403
(2017). Fair lineups are better than biased lineups and showups, but not because they increase underlying discriminability. Law and Human Behavior, 41, 127–145. https://doi.org/10.1037/lhb0000219
(2003). Eyewitness accuracy rates in police showup and lineup presentations: A meta-analytic comparison. Law and Human Behavior, 27, 523–540. https://doi.org/10.1023/A:1025438223608
(2017). A biased opinion: Demonstration of cognitive bias on a fingerprint matching task through knowledge of DNA testing results. Forensic Science International, 276, 93–106. https://doi.org/10.1016/j.forsciint.2017.04.009
(2011). Identifying fingerprint expertise. Psychological Science, 22, 995–997. https://doi.org/10.1177/0956797611414729
(2014). The nature of expertise in fingerprint matching: Experts can do a lot with a little. PLoS One, 9, e114759. https://doi.org/10.1371/journal.pone.0114759
(2014). Human matching performance of genuine crime scene latent fingerprints. Law and Human Behavior, 38, 84–93. https://doi.org/10/1037/lhb0000051
(1974). Judgment under uncertainty: Heuristics and biases. Science, 185, 1124–1131. https://doi.org/10.1126/science.185.4157.1124
(2011). Accuracy and reliability of forensic latent fingerprint decisions. Proceedings of the National Academy of Science of the United States of America, 108, 7733–7738.
(2012). Repeatability and reproducibility of decisions by latent fingerprint examiners. PLoS One, 7, e32800. https://doi.org/10.1371/journal.pone.0032800
(2014). Measuring what latent fingerprint examiners consider sufficient information for individualization determinations. PLoS One, 9, e110179. https://doi.org/10.1371/journal.pone.0110179
(2019). Friction Ridge Print Examination, Section 11.5. 241–D100 Latent print procedures manual. Retrieved from https://www.dfs.virginia.gov/wp-content/uploads/2020/04/241-D100-Latent-Print-Procedures-Manual.pdf
. (2012). Eyewitness Identification Reforms: Are suggestiveness-induced hits and guesses true hits? Perspectives in Psychology Science, 7, 264–271. https://doi.org/10.1177/1745691612443368
(2013). Forensic science testing: The forensic filler-control method for controlling contextual bias, estimating error rates, and calibrating analysts’ reports. Journal of Applied Research in Memory and Cognition, 2, 53–55. https://doi.org/10.1016/j.jarmac.2013.01.004
(