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Seamless crime scene reconstruction in mixed reality for investigation training: a design and evaluation study

Seamless crime scene reconstruction in mixed reality for investigation training: a design and evaluation study
Seamless crime scene reconstruction in mixed reality for investigation training: a design and evaluation study
Investigation training at the real crime scene is a critical component of forensic science education. However, bringing young investigators to real crime scenes is costly and faces significant challenges. Mixed reality (MR) is one of the most evolving technologies that provides unlimited possibilities for practical activities in the education sector. This article aims to propose and evaluate a novel design of an MR system using Microsoft HoloLens 2.0 that is tailored to work in a spatial 3-D-scanned and reconstructed crime scene. The system was designed to be a cost-effective experience that helps young Kuwaiti police officers enhance their investigation skills. The proposed system has been evaluated through system usability, user interaction, and performance metrics quantitatively via 44 young police officers and qualitatively using the think-aloud protocols via a group of experts. Both groups showed positive levels of usability, user interaction, and overall satisfaction, with minimal negative feedback. Based on the positive feedback, the system will be taken into the commercialization stage in the future. Despite the high cost of the MR device, experts stated that the system is needed as an essential tool for crime scene education and investigation practices.
1939-1382
856-873
Albeedan, Meshal
f65cf782-ad33-4b80-89ac-9d6c2a810f6b
Kolivand, Hoshang
37df27c1-e301-4a2c-8298-d2e0fa486126
Hammady, Ramy
9d5ff940-2d85-44e7-b001-222ae2feb935
Saba, Tanzila
55b30edd-0690-4061-a26b-172532fb0341
Albeedan, Meshal
f65cf782-ad33-4b80-89ac-9d6c2a810f6b
Kolivand, Hoshang
37df27c1-e301-4a2c-8298-d2e0fa486126
Hammady, Ramy
9d5ff940-2d85-44e7-b001-222ae2feb935
Saba, Tanzila
55b30edd-0690-4061-a26b-172532fb0341

Albeedan, Meshal, Kolivand, Hoshang, Hammady, Ramy and Saba, Tanzila (2023) Seamless crime scene reconstruction in mixed reality for investigation training: a design and evaluation study. IEEE Transactions on Learning Technologies, 17, 856-873. (doi:10.1109/TLT.2023.3337107).

Record type: Article

Abstract

Investigation training at the real crime scene is a critical component of forensic science education. However, bringing young investigators to real crime scenes is costly and faces significant challenges. Mixed reality (MR) is one of the most evolving technologies that provides unlimited possibilities for practical activities in the education sector. This article aims to propose and evaluate a novel design of an MR system using Microsoft HoloLens 2.0 that is tailored to work in a spatial 3-D-scanned and reconstructed crime scene. The system was designed to be a cost-effective experience that helps young Kuwaiti police officers enhance their investigation skills. The proposed system has been evaluated through system usability, user interaction, and performance metrics quantitatively via 44 young police officers and qualitatively using the think-aloud protocols via a group of experts. Both groups showed positive levels of usability, user interaction, and overall satisfaction, with minimal negative feedback. Based on the positive feedback, the system will be taken into the commercialization stage in the future. Despite the high cost of the MR device, experts stated that the system is needed as an essential tool for crime scene education and investigation practices.

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More information

Accepted/In Press date: 21 November 2021
Published date: 28 November 2023

Identifiers

Local EPrints ID: 500871
URI: http://eprints.soton.ac.uk/id/eprint/500871
ISSN: 1939-1382
PURE UUID: 6c5cf31d-5a84-48f6-af9d-1c59e3e064a8
ORCID for Ramy Hammady: ORCID iD orcid.org/0000-0003-4764-6039

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Date deposited: 14 May 2025 16:52
Last modified: 15 May 2025 02:15

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Contributors

Author: Meshal Albeedan
Author: Hoshang Kolivand
Author: Ramy Hammady ORCID iD
Author: Tanzila Saba

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