Exploring the acceptance of virtual reality training systems among construction workers: a combined structural equation modeling and artificial neural network approach
2024

Acceptance of Virtual Reality Training Systems Among Construction Workers

Sample size: 528 publication 10 minutes Evidence: moderate

Author Information

Author(s): Liu Hui, Miao Xinyue, Shi Chunyan, Xu Tongyu

Primary Institution: Jilin Jianzhu University

Hypothesis

What factors affect construction workers' acceptance of virtual reality training systems?

Conclusion

Construction workers in Shenzhen, China, show a moderate to high acceptance of virtual reality training systems, influenced by perceived usefulness, ease of use, and external factors like risk perception and safety climate.

Supporting Evidence

  • Construction workers show a moderate to high acceptance of virtual reality training systems.
  • Perceived usefulness and ease of use significantly influence construction workers' attitudes toward using virtual reality training.
  • Risk perception and safety climate are important external factors affecting acceptance.

Takeaway

Construction workers are starting to like using virtual reality for training because it helps them learn better and stay safe on the job.

Methodology

The study used structural equation modeling and artificial neural networks to analyze survey data from construction workers.

Potential Biases

Potential bias due to the self-reported nature of the survey and the focus on a single geographic location.

Limitations

The study is limited to construction workers in Shenzhen, China, and may not be generalizable to other regions or roles in the construction industry.

Participant Demographics

The majority of participants were male, middle-aged, with most having a college education or below.

Statistical Information

P-Value

<0.001

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3389/fpubh.2024.1478615

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