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Seamless Crime Scene Reconstruction in Mixed Reality for Investigation Training: A Design and Evaluation Study

Albeedan, M, Kolivand, H, Hammady, R and Saba, T (2023) Seamless Crime Scene Reconstruction in Mixed Reality for Investigation Training: A Design and Evaluation Study. IEEE Transactions on Learning Technologies. pp. 1-19.

Seamless Crime Scene Reconstruction in Mixed Reality for Investigation Training A Design and Evaluation Study.pdf - Accepted Version

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Investigation training in 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 provide unlimited possibilities for practical activities in the education sector. This paper aims to propose and evaluate a novel design of an MR system using Microsoft HoloLens 2.0 and it is tailored to work in a spatial 3D scanned and reconstructed crime scene. The system was designed to be a costly-effective experience that helps young Kuwait police officers to 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 commercialisation stage in the future. Despite the high cost of the MR device, it was stated by experts that the system is needed to be provided as an essential tool for crime scene education and investigation practices.

Item Type: Article
Additional Information: © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: 0806 Information Systems; 1005 Communications Technologies; 1303 Specialist Studies in Education
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
H Social Sciences > HV Social pathology. Social and public welfare. Criminology > HV7231 Criminal Justice Administrations > HV7551 Police. Detectives. Constabulary
Divisions: Computer Science & Mathematics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
SWORD Depositor: A Symplectic
Date Deposited: 01 Dec 2023 09:56
Last Modified: 09 Jan 2024 16:45
DOI or ID number: 10.1109/tlt.2023.3337107
URI: https://researchonline.ljmu.ac.uk/id/eprint/21992
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