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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

An Investigation of Acceptance and E-Readiness for the Application of Virtual Reality and Augmented Reality Technologies to Maintenance Training in the Manufacturing Industry

Baglee, David, Scott, Helen, Potts, Rita and O'Brien, Roger (2020) An Investigation of Acceptance and E-Readiness for the Application of Virtual Reality and Augmented Reality Technologies to Maintenance Training in the Manufacturing Industry. International Journal of Mechatronics and Manufacturing Systems, 13 (1). pp. 39-58. ISSN 1753-1047

Item Type: Article

Abstract

Virtual Reality (VR) and Augmented Reality (AR) technologies offer new ways of providing training in manufacturing maintenance. The adoption of modern maintenance training practices has the potential to create efficiencies in terms of cost and time to train, while enhancing the quality of learning and maintenance outputs. However, in order to utilise the potential improvements that VR and AR offer in a manufacturing maintenance context, it is first important to understand the specific factors associated with VR and AR readiness and user requirement. The paper will firstly describe the results from a number of interviews conducted within a range of manufacturing companies in the North East of England to establish the state of e-technology readiness and acceptance, with specific emphasis on VR and AR applications. The results will identify how VR and AR might be utilised, relative to the company’s needs. Secondly, a new ‘model’ for maintenance training utilising VR/AR technologies will be described, based upon the initial findings and analyses combining cognitive behavioural models, real world data, and learning theory.

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More Information

Uncontrolled Keywords: Virtual Reality (VR), Augmented Reality (AR), Manufacturing Maintenance, Maintenance Training, Technology Readiness, Technology Acceptance, Cognitive Behavioural Models
Depositing User: Helen Scott

Identifiers

Item ID: 11134
Identification Number: https://doi.org/10.1504/IJMMS.2020.108310
ISSN: 1753-1047
URI: http://sure.sunderland.ac.uk/id/eprint/11134
Official URL: https://www.inderscienceonline.com/doi/abs/10.1504...

Users with ORCIDS

ORCID for David Baglee: ORCID iD orcid.org/0000-0002-7335-5609
ORCID for Helen Scott: ORCID iD orcid.org/0000-0003-0855-6399

Catalogue record

Date Deposited: 03 Oct 2019 09:33
Last Modified: 04 Jul 2021 02:38