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Simulation-Based VR Training for the Nuclear Sector—A Pilot Study

Author

Listed:
  • Italo Masiello

    (Department of Computer Science and Media Technology, Linnaeus University, 351 95 Vaxjo, Sweden)

  • Romain Herault

    (Department of Computer Science and Media Technology, Linnaeus University, 351 95 Vaxjo, Sweden)

  • Martin Mansfeld

    (Nuclear Safety and Training Company, 572 95 Figeholm, Sweden)

  • Maria Skogqvist

    (Nuclear Safety and Training Company, 572 95 Figeholm, Sweden)

Abstract

Simulation-based training has seen an increased use of extended reality, that is, augmented reality (AR), virtual reality (VR) and mixed reality (MR) displays. The health professions have been using VR for simulation-based training more extensively than others. This method can offer the possibility of immediate feedback, which promotes more accurate training to self-correct mistakes in environments that are otherwise risky or provide unsafe conditions. The nuclear industry has attempted to seize the same digital and educational transformation to train their personnel to handle dangerous scenarios. We ran a pilot study with the aim of evaluating the VR training scenario developed for the specific target group and the acceptance of the VR technology itself for this kind of training. We used the Kirkpatrick framework to evaluate the training and the VR-HAM acceptance model to evaluate the acceptance of VR. A VR scenario was developed to test specific technical skills of nuclear power plant personnel. The 13 participants showed results within the basic level of the Kirkpatrick framework and held both positive reactions and concerns, that is, they enjoyed the training with VR and expressed concerns regarding the stability of the VR technology. The participants also showed positive attitudes towards the perceived ease of use and usefulness of the VR-HAM and its various constructs. Even though the COVID-19 pandemic limited our testing, we could show valuable data and positive attitudes and perceived ease by the participants. Simulation-based VR training could be an important complement to traditional training methods, especially where safety is a priority, but we still need to provide solid evidence.

Suggested Citation

  • Italo Masiello & Romain Herault & Martin Mansfeld & Maria Skogqvist, 2022. "Simulation-Based VR Training for the Nuclear Sector—A Pilot Study," Sustainability, MDPI, vol. 14(13), pages 1-14, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7984-:d:852417
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    References listed on IDEAS

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    1. Hyunsoo Lee & Woo Chang Cha, 2019. "Virtual Reality-Based Ergonomic Modeling and Evaluation Framework for Nuclear Power Plant Operation and Control," Sustainability, MDPI, vol. 11(9), pages 1-16, May.
    2. Karlene H. Roberts, 1990. "Some Characteristics of One Type of High Reliability Organization," Organization Science, INFORMS, vol. 1(2), pages 160-176, May.
    3. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
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