Following the rapid advancement and growing market of immersive virtual reality (IVR), it is important to understand the impacts caused by these technological innovations. Research on feasibility, reliability, and easiness of use of IVR has received considerable attention, but little is known about the specific factors that influence the intention to adopt IVR in the health and safety (H&S) training setting. Since the success of implementing IVR in H&S training depends on the individuals who are willing to try and to use it, this paper aims to investigate the interrelationship between influential factors and behavioural intention to adopt IVR among different professional groups. To understand this, a conceptual framework was developed through adapting and modifying the Unified Theory of Acceptance and Use of Technology (UTAUT2). Data were collected using an online survey from professional chemical engineers. Partial least squares structural equation modelling (PLS-SEM) based on SmartPLS 3 was used to analyse the IVR adoption intention of the population sample and followed by multi-group analysis (MGA) method to explore the group differences in professionals’ IVR adoption intention. The findings from this study are expected to contribute to the literature of the UTAUT2 model on IVR adoption intention and provide some suggestions for stakeholders in formulating appropriate strategies to improve the adoption of IVR in different group settings.
Ryo Toyoda, Newcastle University, United Kingdom
Fernando Russo Abegão, Newcastle University, United Kingdom
Sue Gill, Newcastle University, United Kingdom
Jarka Glassey, Newcastle University, United Kingdom
This paper is part of the ECE2020 Conference Proceedings (View)
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