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Science & Justice
Article
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Science & Justice
Article . 2017 . Peer-reviewed
License: Elsevier TDM
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UQ eSpace
Article . 2017
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Thinking forensics: Cognitive science for forensic practitioners

Authors: Edmond, G; Towler, A; Growns, B; Ribeiro, G; Found, B; White, D; Ballantyne, K; +5 Authors

Thinking forensics: Cognitive science for forensic practitioners

Abstract

Human factors and their implications for forensic science have attracted increasing levels of interest across criminal justice communities in recent years. Initial interest centred on cognitive biases, but has since expanded such that knowledge from psychology and cognitive science is slowly infiltrating forensic practices more broadly. This article highlights a series of important findings and insights of relevance to forensic practitioners. These include research on human perception, memory, context information, expertise, decision-making, communication, experience, verification, confidence, and feedback. The aim of this article is to sensitise forensic practitioners (and lawyers and judges) to a range of potentially significant issues, and encourage them to engage with research in these domains so that they may adapt procedures to improve performance, mitigate risks and reduce errors. Doing so will reduce the divide between forensic practitioners and research scientists as well as improve the value and utility of forensic science evidence.

Country
Australia
Keywords

Performance, 150, anzsrc-for: 48 Law and Legal Studies, Feedback, anzsrc-for: 52 Psychology, 16 Peace, Professional Competence, Bias, 4802 Environmental and Resources Law, 614, Memory, Psychology, Training, Humans, anzsrc-for: 4802 Environmental and Resources Law, Expert Testimony, 48 Law and Legal Studies, Experience, Forensic Sciences, anzsrc-for: 4806 Private Law and Civil Obligations, 501, Justice and Strong Institutions, 2734 Pathology and Forensic Medicine, 52 Psychology, Expert, 4806 Private Law and Civil Obligations, Cognitive Science, Mental health, Human factors

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    61
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
61
Top 10%
Top 10%
Top 10%
Green
bronze