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ORIGINAL RESEARCH article
Front. Virtual Real.
Sec. Virtual Reality in Industry
Volume 6 - 2025 | doi: 10.3389/frvir.2025.1560713
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Virtual environments allow training of situations and scenarios that are hazardous and impractical to train for in the physical environment. This paper aims to illustrate the utility of a virtual reality glovebox with haptic feedback as an effective training tool for glovebox operations. Twenty-four participants (16 males, 8 females) volunteered to participate in this study. Each participant completed one trial that consisted of three counter-balanced environments (physical training glovebox, virtual reality with haptic feedback, and virtual reality with handheld controllers), followed by a 10-minute recovery phase after each environment. Each glovebox environment had a near identical glovebox task where participants removed, sorted, and then returned simulated hazardous material to a cannister. Median time to completion (TTC), number of errors, ratings of perceived exertion (RPE), and perceived recovery status scale (PRSS) were calculated to describe the difference in glovebox environment performance. Median TTC was near double for the virtual glovebox environments versus the physical training glovebox environment. Median number of errors were near zero for all environments. Median RPE and PRSS were relatively similar across environments. The results of this study conclude that while the TTC for the physical training glovebox was significantly quicker than the virtual environments, the accuracy of training, RPE, and PRSS were reasonably similar across all environments. Furthermore, given that there is little opportunity and resources for glovebox operators to train this type of task on a regular basis in a physical glovebox, having the opportunity to train this task in a virtual environment provides great value to increase their knowledge, skills, and safety.
Keywords: haptic feedback1, Virtual Reality2, glovebox operations3, digital twin4, training evaluation5
Received: 14 Jan 2025; Accepted: 20 Feb 2025.
Copyright: © 2025 Hornsby, Arnwine, Stowe, Lin, Mason, Eakins, Veller, Mendoza, Metcalf, Oriaifo, Dunar and Crockett. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Jared H Hornsby, Oak Ridge Enhanced Technology and Training Center (DOE), Oak Ridge, United States
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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