A technology acceptance model for augmented reality and wearable technologies

William Guest, Fridolin Wild, Alla Vovk, Paul Lefrere, Roland Klemke, Mikhail Fominykh, Timo Kuula

    Research output: Contribution to journalArticleScientificpeer-review

    2 Citations (Scopus)

    Abstract

    Leveraging Augmented Reality and wearable technology for knowledge-intensive training is thought to offer huge potential for improving human performance. The recent introduction of the technology means that much of this potential is untapped, though efforts are needed to understand what makes it useful, entertaining, and easy-to-use. The research presented in this article investigates the implementation of a combined hardware and software application in three use-cases: aviation, medical and space. Following the validation of metrics for a questionnaire, data was collected from 142 participants, and a structural equation model, based on UTAUT2, was proposed in order to interpret the data. Following model improvement, two constructs show significant factor loading and latent variable correlation, Interoperability and Augmented Reality/Wearable Technology Fit. Model optimisation was conducted, and a variety of goodness-of-fit indices are reported. The two additional constructs are found to be covariant and impact the UTAUT2 variables performance expectancy, effort expectancy and facilitating conditions, in some cases explaining more than 85% of the variance in those constructs (p < 0.001). A root mean square error of approximation of 0.047 after a 1000-fold Monte Carlo cross-validation indicates a good fit between the model and the data. In all other fit indices, a moderate power has been observed.

    Original languageEnglish
    Pages (from-to)192-219
    Number of pages28
    JournalJournal of Universal Computer Science
    Volume24
    Issue number2
    Publication statusPublished - 1 Jan 2018
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Technology Acceptance
    Augmented reality
    Augmented Reality
    Human Performance
    Structural Equation Model
    Aviation
    Latent Variables
    Goodness of fit
    Use Case
    Optimization Model
    Cross-validation
    Mean square error
    Interoperability
    Questionnaire
    Fold
    Application programs
    Roots
    Hardware
    Model
    Model-based

    Keywords

    • Augmented reality
    • Microsoft hololens
    • Structural equation model
    • Technology acceptance
    • UTAUT2
    • Wearable technology

    Cite this

    Guest, W., Wild, F., Vovk, A., Lefrere, P., Klemke, R., Fominykh, M., & Kuula, T. (2018). A technology acceptance model for augmented reality and wearable technologies. Journal of Universal Computer Science, 24(2), 192-219.
    Guest, William ; Wild, Fridolin ; Vovk, Alla ; Lefrere, Paul ; Klemke, Roland ; Fominykh, Mikhail ; Kuula, Timo. / A technology acceptance model for augmented reality and wearable technologies. In: Journal of Universal Computer Science. 2018 ; Vol. 24, No. 2. pp. 192-219.
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    Guest, W, Wild, F, Vovk, A, Lefrere, P, Klemke, R, Fominykh, M & Kuula, T 2018, 'A technology acceptance model for augmented reality and wearable technologies', Journal of Universal Computer Science, vol. 24, no. 2, pp. 192-219.

    A technology acceptance model for augmented reality and wearable technologies. / Guest, William; Wild, Fridolin; Vovk, Alla; Lefrere, Paul; Klemke, Roland; Fominykh, Mikhail; Kuula, Timo.

    In: Journal of Universal Computer Science, Vol. 24, No. 2, 01.01.2018, p. 192-219.

    Research output: Contribution to journalArticleScientificpeer-review

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    Guest W, Wild F, Vovk A, Lefrere P, Klemke R, Fominykh M et al. A technology acceptance model for augmented reality and wearable technologies. Journal of Universal Computer Science. 2018 Jan 1;24(2):192-219.