The important thing neglected: integrating bloom's taxonomy into VR safety training model development
As an emerging technology, virtual reality (VR) is being widely used in the field of safety training. However, a potential drawback arises when the learning theory is weakly considered during the development of safety training models. This oversight may result in several defects, such as a lack of alignment with training priorities and needs, ultimately affecting trainees' learning outcomes and diminishing safety awareness. To address this issue, this study introduces a systematic framework that integrates Bloom's learning taxonomy with VR safety training model development, named the VR Safety Training Goal Taxonomy Framework (VR-Safety-TGT). VR-Safety-TGT provides a comprehensive method for safety trainers and VR model developers to communicate and understand each other's perspectives. Specifically, it assists VR model developers in better-aligning safety training learning objectives. The efficacy of VR-Safety-TGT is examined through a pilot study involving a sample of 91 university students. The students were divided into three groups, each subjected to one of the following training modalities: slideshow-based training, traditional VR training, and VR-Safety-TGT training. The experimental results reveal that the VR-Safety-TGT group exhibits a significant advantage compared to the other two groups. VR-Safety-TGT demonstrates superior outcomes in terms of knowledge acquisition, knowledge retention, self-efficacy, and users’ acceptance of technology.
Authors
- Dirk Pons (ORCID: https://orcid.org/0000-0001-7141-0291)
- Shuang‐Hua Yang (ORCID: https://orcid.org/0000-0003-0717-5009)
- Chaojie Hu (ORCID: https://orcid.org/0009-0007-2734-9105)
- Zhanni Luo (ORCID: https://orcid.org/0000-0002-5162-875X)
- Zuzhen Ji (ORCID: https://orcid.org/0000-0002-6213-961X)
- Shuai Zhang (ORCID: https://orcid.org/0000-0002-5792-877X)
- Yuchen Wang (ORCID: https://orcid.org/0000-0002-6710-6710)
- Yong Chen (ORCID: https://orcid.org/0000-0001-8240-1286)
Institutions
- Chongqing Normal University (CN)
- University of Canterbury (NZ)
- Zhejiang University of Technology (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Virtual Reality
- Published
- 2025-11-05
- DOI
- https://doi.org/10.1007/s10055-025-01255-5
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Zhejiang Province