Literature DB >> 33748945

Are forensic scientists too risk averse?

Willa M Mannering1, Macgregor D Vogelsang2, Thomas A Busey1, Fred L Mannering3.   

Abstract

Fingerprint examiners maintain decision thresholds that represent the amount of evidence required for an identification or exclusion conclusion. As measured by error rate studies (Proc Natl Acad Sci USA. 2011;108(19):7733-8), these decision thresholds currently exhibit a preference for preventing erroneous identification errors at the expense of preventing erroneous exclusion errors. The goal of this study is to measure the decision thresholds for both fingerprint examiners and members of the general public, to determine whether examiners are more risk averse than potential jury members. To externally measure these decision thresholds, subjects manipulated decision criteria in a web-based visualization that reflects the trade-offs between erroneous identification decisions and erroneous exclusion decisions. Data from fingerprint examiners and the general public were compared to determine whether both groups have similar values as expressed by the placement of the decision criteria. The results of this study show that fingerprint examiners are more risk averse than members of the general public, although they align with error rate studies of fingerprint examiners. Demographic data demonstrate those factors that may contribute to differences in decision criterion placement, both between the two groups and between individuals within a group. The experimental methods provide a rich framework for measuring, interpreting, and responding to the values of society as applied to forensic decision-making.
© 2021 American Academy of Forensic Sciences.

Keywords:  decision-making; econometrics; erroneous identification; fingerprint examination; multivariate data analysis; signal detection theory

Mesh:

Year:  2021        PMID: 33748945     DOI: 10.1111/1556-4029.14700

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  4 in total

1.  Statistical feature training improves fingerprint-matching accuracy in novices and professional fingerprint examiners.

Authors:  Bethany Growns; Alice Towler; James D Dunn; Jessica M Salerno; N J Schweitzer; Itiel E Dror
Journal:  Cogn Res Princ Implic       Date:  2022-07-16

2.  Challenges to reasoning in forensic science decisions.

Authors:  Barbara A Spellman; Heidi Eldridge; Paul Bieber
Journal:  Forensic Sci Int Synerg       Date:  2021-12-20

3.  Stressors in forensic organizations: Risks and solutions.

Authors:  Thomas Busey; Laura Sudkamp; Melissa K Taylor; Alice White
Journal:  Forensic Sci Int Synerg       Date:  2021-12-20

4.  The low prevalence effect in fingerprint comparison amongst forensic science trainees and novices.

Authors:  Bethany Growns; James D Dunn; Rebecca K Helm; Alice Towler; Jeff Kukucka
Journal:  PLoS One       Date:  2022-08-11       Impact factor: 3.752

  4 in total

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