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A Critical Review of Virtual and Extended Reality Immersive Police Training: Application Areas, Benefits & Vulnerabilities

Podoletz, Lena; McGill, Mark; McIlhatton, David; Marshall, Jill; Healy, Niamh; Tanczer, Leonie Maria; (2024) A Critical Review of Virtual and Extended Reality Immersive Police Training: Application Areas, Benefits & Vulnerabilities. In: Spencer, SN, (ed.) VRST '24: Proceedings of the 30th ACM Symposium on Virtual Reality Software and Technology. (pp. p. 38). Association for Computing Machinery (ACM): Trier, Germany. Green open access

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Abstract

Virtual and Extended Reality (VR/XR) headsets have promised to enhance police training through the delivery of immersive simulations able to be conducted anywhere, anytime. However, little consideration has been given to reviewing the evidenced benefits and potential issues posed by XR police training. In this paper, we summarise the evidenced usage and benefits of XR police training through a formative targeted literature review (n=41 publications). We then reflect on the prospective technical, security, social and legal issues posed by XR police training, identifying four areas where issues or vulnerabilities exist: training content, trainees and trainers, systems and devices, and state and institutional stakeholders. We highlight significant concerns around e.g. the validity of training; the psychological impact and risks of trauma; the safety and privacy risks posed to trainees and trainers; and the risks to policing institutions. We aim to encourage end-user communities (e.g. police forces) to more openly reflect on the risks of immersive training, so we can ultimately move towards transparent, validated, trusted training that is evidenced to improve policing outcomes.

Type: Proceedings paper
Title: A Critical Review of Virtual and Extended Reality Immersive Police Training: Application Areas, Benefits & Vulnerabilities
Event: 30th ACM Symposium on Virtual Reality Software and Technology (VRST)
Location: GERMANY, Trier
Dates: 9 Oct 2024 - 11 Oct 2024
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3641825.3687707
Publisher version: https://doi.org/10.1145/3641825.3687707
Language: English
Additional information: Copyright © 2024 Owner/Author. This work is licensed under a Creative Commons Attribution International 4.0 License.
Keywords: Science & Technology, Technology, Computer Science, Cybernetics, Computer Science, Software Engineering, Computer Science, Theory & Methods, Computer Science, Police Training, Extended Reality, Virtual Reality, ACCEPTANCE, SECURITY, PRIVACY, MODEL
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10208805
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