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Law enforcement officer naturalistic decision-making in high-stress conditions

Stephanie Fariss Dailey (College of Education and Human Development, George Mason University, Arlington, Virginia, USA)
Lauren N.P. Campbell (College of Humanities and Social Sciences, George Mason University, Fairfax, Virginia, USA)
Justin Ramsdell (College of Humanities and Social Sciences, George Mason University, Fairfax, Virginia, USA)

Policing: An International Journal

ISSN: 1363-951X

Article publication date: 12 June 2024

Issue publication date: 6 November 2024

101

Abstract

Purpose

This exploratory study aimed to investigate law enforcement officers’ decision-making processes in high-stress scenarios, exploring variations based on experience and how cognitive demands influence officer decision-making processes.

Design/methodology/approach

Employing a naturalistic decision-making approach and macrocognitive framework, the study utilizes scenario-based virtual reality simulations and qualitative interviews to examine the decision-making processes of law enforcement officers in high-stress policing contexts.

Findings

Thematic coding of interview data from twelve LEOs immediately following a high-stress virtual reality task revealed differences in decision-making processes and cognitive demands between novice and expert officers. Findings also revealed differences in the type of cognitive demands experienced by officers at key points in the simulated scenario.

Originality/value

The authors offer theoretical and practical contributions toward an increased understanding of officer decision-making, factors and conditions that impact LEO decisions and potential mitigation strategies that law enforcement organizations may leverage to improve officer decision-making in high-stress contexts.

Keywords

Citation

Dailey, S.F., Campbell, L.N.P. and Ramsdell, J. (2024), "Law enforcement officer naturalistic decision-making in high-stress conditions", Policing: An International Journal, Vol. 47 No. 6, pp. 929-948. https://doi.org/10.1108/PIJPSM-09-2023-0114

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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