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<p>There is growing evidence supporting the usefulness of immersive virtual reality (IVR) for collaboration. However, its widespread adoption in the workplace is still pending. For a successful introduction to the professional environment, it is crucial to identify the factors influencing the acceptance of IVR for collaboration. Therefore, in this study, we employed an adapted UTAUT2 technology acceptance model to examine the influence of performance expectancy, effort expectancy, facilitating conditions, social influence, and hedonic motivation on the behavioral intention to use IVR. Conducting and analyzing an online survey of 273 participants using structural equation modeling showed that the employed technology acceptance model provided a strong fit to the survey data. Furthermore, we found that performance expectancy and social influence positively predicted behavioral intention. Based on these findings, this study offers recommendations on how to support the adoption of IVR for professional collaboration, facilitating the transfer of the reported benefits of IVR from the literature to practice.</p>

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Performance expectancy and social influence drive the acceptance of immersive virtual reality for professional collaboration

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月30日

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  • Axel Merz,
  • Ivan Moser,
  • Per B. Bergamin

摘要

There is growing evidence supporting the usefulness of immersive virtual reality (IVR) for collaboration. However, its widespread adoption in the workplace is still pending. For a successful introduction to the professional environment, it is crucial to identify the factors influencing the acceptance of IVR for collaboration. Therefore, in this study, we employed an adapted UTAUT2 technology acceptance model to examine the influence of performance expectancy, effort expectancy, facilitating conditions, social influence, and hedonic motivation on the behavioral intention to use IVR. Conducting and analyzing an online survey of 273 participants using structural equation modeling showed that the employed technology acceptance model provided a strong fit to the survey data. Furthermore, we found that performance expectancy and social influence positively predicted behavioral intention. Based on these findings, this study offers recommendations on how to support the adoption of IVR for professional collaboration, facilitating the transfer of the reported benefits of IVR from the literature to practice.