Assessing Virtual Reality Fire Extinguisher Training Effectiveness: A Quantitative Empirical Study

This study conducts a quantitative assessment based on empirical evidence to measure the effectiveness of virtual reality-based fire extinguisher training. The data were collected from 71 participants who first underwent virtual reality (VR) fire extinguisher training and then practical fire extinguisher training with a gap of one week between these sessions. After finishing the practical training, participants filled out a structured quantitative questionnaire evaluating five key aspects: Knowledge Acquisition, Knowledge Retention, Realism, Usability, and Engagement. To assess the effectiveness and identify the stronger predictor of the effectiveness, a quantitative analysis was conducted encompassing descriptive statistics, t-tests, and regression analysis. The findings from this research reveal that Engagement and Usability were ranked highest in terms of the effectiveness of VR training. Participants felt that for VR training Engagement and Usability enhanced their overall experience. Furthermore, Engagement and Usability had the strongest impact on the effectiveness of the overall training. Respondents also reflected on the insufficiency of the VR environment in relation to realism, emphasizing the need for advancements in this area. These results imply that VR is an effective, engaging, and usable tool for safety training, but that refinements in interactive fidelity are needed in order to boost learning outcomes. Future research may investigate realism enhancements and knowledge retention strategies to further optimize VR-based safety training programs.

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Publication Details

Journal
AHFE international
Published
2025-01-01
DOI
https://doi.org/10.54941/ahfe1006316
Primary Topic
Simulation and Modeling Applications
Type
article
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article

Assessing Virtual Reality Fire Extinguisher Training Effectiveness: A Quantitative Empirical Study

Jussi Kantola, A.B.M. Sharif Hossain, Janne Heilala, Rida Kamal
AHFE international
Simulation and Modeling Applications
article

Assessing Virtual Reality Fire Extinguisher Training Effectiveness: A Quantitative Empirical Study

Jussi Kantola, A.B.M. Sharif Hossain, Janne Heilala, Rida Kamal
article en

Abstract

This study conducts a quantitative assessment based on empirical evidence to measure the effectiveness of virtual reality-based fire extinguisher training. The data were collected from 71 participants who first underwent virtual reality (VR) fire extinguisher training and then practical fire extinguisher training with a gap of one week between these sessions. After finishing the practical training, participants filled out a structured quantitative questionnaire evaluating five key aspects: Knowledge Acquisition, Knowledge Retention, Realism, Usability, and Engagement. To assess the effectiveness and identify the stronger predictor of the effectiveness, a quantitative analysis was conducted encompassing descriptive statistics, t-tests, and regression analysis. The findings from this research reveal that Engagement and Usability were ranked highest in terms of the effectiveness of VR training. Participants felt that for VR training Engagement and Usability enhanced their overall experience. Furthermore, Engagement and Usability had the strongest impact on the effectiveness of the overall training. Respondents also reflected on the insufficiency of the VR environment in relation to realism, emphasizing the need for advancements in this area. These results imply that VR is an effective, engaging, and usable tool for safety training, but that refinements in interactive fidelity are needed in order to boost learning outcomes. Future research may investigate realism enhancements and knowledge retention strategies to further optimize VR-based safety training programs.

AHFE internationalVol. 176
Openalex Percentile: Top 83%
Simulation and Modeling Applications
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Assessing Virtual Reality Fire Extinguisher Training Effectiveness: A Quantitative Empirical Study — Jussi Kantola, A.B.M. Sharif Hossain, et al. · AHFE international (2025) | TGRS Research Map | TGRS