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Albeedan, M, Kolivand, H and Hammady, R (2023) Evaluating the Use of Mixed Reality in CSI Training through the Integration of the Task-Technology Fit and Technology Acceptance Model. IEEE Access, 11. pp. 114732-114752. ISSN 2169-3536
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Evaluating the Use of Mixed Reality in CSI Training Through the Integration of the Task-Technology Fit and Technology Acceptance Model.pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (3MB) | Preview |
Abstract
Despite the emerging literature on adopting Mixed Reality (MR) headsets in crime scene investigation (CSI) -, it is still debatable on how to employ these headsets and its application for training purposes in higher education and police academies. Hence, this research presents a novel hybrid theoretical framework that combines the Task-technology Fit (TTF) and Technology Acceptance Model (TAM) variables and the most prominent features of MR headsets—immersion, interactivity and mobility. The main objective is to explore young investigators’ behavioural intention to adopt MR headsets and their applications for investigation training practices. To validate the developed model, a questionnaire survey was the primary method used to collect data from 160 police academy students using the partial least squares-structural equation modelling (PLS-SEM) technique. The empirical results revealed that task technology fit has a positive impact on the perceived usefulness of MR headset applications and no significant positive impact on the perceived ease of use applications of MR devices. On the contrary, individual technology fit has a positive impact on the perceived ease of use and no significant positive effects were found regarding the perceived usefulness of investigation training purposes. Furthermore, the results indicated that the mobility of MR wearable devices positively influences the perceived ease of use and the perceived usefulness for crime scene practices. The study also addresses the theoretical contributions and practical implications of these outcomes.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 08 Information and Computing Sciences; 09 Engineering; 10 Technology |
| Subjects: | H Social Sciences > HV Social pathology. Social and public welfare. Criminology T Technology > T Technology (General) > T58.5 Information Technology |
| Divisions: | Computer Science & Mathematics |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 13 Oct 2023 15:08 |
| Last Modified: | 30 Oct 2023 15:30 |
| DOI or ID number: | 10.1109/access.2023.3323949 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/21713 |
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