The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
Virtual reality applications for the built environment: Research trends and opportunities
Abstract
Abstract With its advanced capabilities of immersive and interactive visualization, virtual reality (VR) has been advocated to facilitate design, engineering, construction, and management for the built environment. Substantial efforts have thus been devoted to VR-related applications in the architecture, engineering, and construction (AEC) industry over the last decades, resulting in a vast, diverse, and fragmented body of knowledge. The objective of this research is to systematically gain an in-depth understanding of research trends as well as reveal challenges and opportunities for future research in the area. To achieve this objective, this research explores the state-of-the-art in VR applications for the built environment by a mixed quantitative-qualitative review method. A total of 229 journal articles are collected using a structured data acquisition approach from Scopus and then fed into a bibliometric analysis to construct science maps. By doing so, the main research outlets, articles, and themes of this research field are quantitatively identified. Subsequently, an in-depth qualitative discussion is presented to provide deeper insights into the challenges and opportunities of main research topics. Furthermore, future research directions are proposed as follows: 1) user-centered adaptive design, 2) attention-driven virtual reality information systems, 3) construction training systems incorporating human factors, 4) occupant-centered facility management, and 5) industry adoption. This research contributes to the body of knowledge by synthesizing the state of the art of VR technology for the built environment and exposing its research needs, which can serve both academia and industry in terms of promoting VR applications for the built environment.
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Software survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2010) · International Journal of Surgery · doi:10.1016/j.ijsu.2010.02.007 · Cited by 12,156
Toward a Conceptual Framework for Mixed-Method Evaluation Designs
Greene, J. C., Caracelli, V. J., & Graham, W. F. (1989) · Educational Evaluation and Policy Analysis · doi:10.3102/01623737011003255 · Cited by 5,687
Merchant, Z., Goetz, E. T., Cifuentes, L., Keeney-Kennicutt, W., & Davis, T. J. (2014) · Computers & Education · doi:10.1016/j.compedu.2013.07.033 · Cited by 2,109
Where's the evidence that active learning works?
Michael, J. (2006) · Advances in Physiology Education · doi:10.1152/advan.00053.2006 · Cited by 1,648
Boyack, K. W., & Klavans, R. (2010) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21419 · Cited by 1,427
A critical review of virtual and augmented reality (VR/AR) applications in construction safety
Li, X., Yi, W., Chi, H.-L., Wang, X., & Chan, A. P. C. (2018) · Automation in Construction · doi:10.1016/j.autcon.2017.11.003 · Cited by 1,055
Su, H.-N., & Lee, P.-C. (2010) · Scientometrics · doi:10.1007/s11192-010-0259-8 · Cited by 916
A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS
van Eck, N. J., Waltman, L., Dekker, R., & van den Berg, J. (2010) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21421 · Cited by 888
Bibliometric Methods: Pitfalls and Possibilities
Wallin, J. A. (2005) · Basic & Clinical Pharmacology & Toxicology · doi:10.1111/j.1742-7843.2005.pto_139.x · Cited by 884
Cited by
Recent advancements of robotics in construction
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A Review of Artificial Intelligence in Enhancing Architectural Design Efficiency
Li, Y., Chen, H., Yu, P., & Yang, L. (2025) · Applied Sciences · doi:10.3390/app15031476 · Cited by 76
Lee, Y. S., Rashidi, A., Talei, A., Beh, H. J., & Rashidi, S. (2023) · Virtual Worlds · doi:10.3390/virtualworlds2010003 · Cited by 27
Metadata
- Authors
- Zhang, Y., Liu, H., Kang, S.-C., & Al-Hussein, M.
- Venue
- Automation in Construction
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 118
- Pages
- 103311
- ISSN
- 0926-5805 (ISSN-L)
- OpenAlex
- W3036272013
- Cited by
- 361
- References
- 99
- FWCI
- 29.96
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.