ArticleScientific reports2026
Factors influencing the use of VR technology for safety training among electric industry workers in China: an extended TAM.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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7 authors.
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Abstract
Despite the potential of virtual reality (VR)-based safety training to reduce fatalities in the electric industry, its success depends on worker acceptance. This study validated an extended technology acceptance model incorporating self-efficacy (SE), facilitating conditions (FC), and technology anxiety (TA) using data from 341 electric industry workers. Results confirmed that while SE and FC are significant positive predictors of perceived usefulness (PU) and perceived ease of use (PEOU) (p < 0.05), TA exerts a significant negative influence on PEOU and PU (path coefficients of − 0.194 and − 0.217, respectively). Structural equation modeling indicated that the research model explained a substantial proportion of variance: 38.1% for PEOU, 61.5% for PU, 65.6% for attitude, and 44.7% for intention to use. These findings provided an evidence-based framework for stakeholders to bolster user confidence and mitigate technological anxiety, thereby accelerating the strategic adoption of VR safety training in high-risk electrical environments.
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