Enhancing Construction Safety and Operations Training Through Collaborative CAVE: A Study for Experiment

Chi-Ho Li () and Tsun Sang David Lam ()
Additional contact information
Chi-Ho Li: Hong Kong Metropolitan University, School of Science and Technology
Tsun Sang David Lam: Hong Kong Metropolitan University, School of Science and Technology

A chapter in XR and Metaverse, 2026, pp 61-75 from Springer

Abstract: Abstract The construction industry plays a key role in cities. It creates more space for human activities. Cities have limited land, so this is important. Builders now use advanced machinery and devices. These tools help construct and operate buildings and facilities. As a result, technical skills are becoming more important. The requirements for working in construction are rising quickly. As the industry is still substantially intensive in terms of physical labour, as well as the industry being entrenched culturally, with the master-apprentice teaching method still being the norm, the pool of candidates willing to join has been shrinking, and this is further exacerbated by the limited training and education opportunities provided for the preparation of said roles, with that further reducing the population able to join. Only few research focuses on adopting Virtual/Augmented Reality (VAR) or Mixed Reality (MR) for training, especially in construction. This review focuses on the potential of using cave automatic virtual environments (CAVEs) for interactive training tutorials in the construction industry. This paper explores the possibility of using Digital Twin (DT) to provide a high-fidelity simulation ground and utilise CAVE to provide an interaction interface for the trainee to enhance the trainees’ training efficacy and safety awareness.

Keywords: Cave automatic virtual environments; Human–computer interaction; Construction industry (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-032-11983-4_5

Ordering information: This item can be ordered from
http://www.springer.com/9783032119834

DOI: 10.1007/978-3-032-11983-4_5

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().