The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.
A research agenda for augmented and virtual reality in architecture, engineering and construction
Open accessAbstract
This paper presents a study on the usage landscape of augmented reality (AR) and virtual reality (VR) in the architecture, engineering and construction sectors, and proposes a research agenda to address the existing gaps in required capabilities. A series of exploratory workshops and questionnaires were conducted with the participation of 54 experts from 36 organisations from industry and academia. Based on the data collected from the workshops, six AR and VR use-cases were defined: stakeholder engagement, design support, design review, construction support, operations and management support, and training. Three main research categories for a future research agenda have been proposed, i.e.: (i) engineering-grade devices, which encompasses research that enables robust devices that can be used in practice, e.g. the rough and complex conditions of construction sites; (ii) workflow and data management; to effectively manage data and processes required by AR and VR technologies; and (iii) new capabilities; which includes new research required that will add new features that are necessary for the specific construction industry demands. This study provides essential information for practitioners to inform adoption decisions. To researchers, it provides a research road map to inform their future research efforts. This is a foundational study that formalises and categorises the existing usage of AR and VR in the construction industry and provides a roadmap to guide future research efforts.
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A critical review of virtual and augmented reality (VR/AR) applications in construction safety
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Cited by
Abioye, S. O., Oyedele, L. O., Akanbi, L., Ajayi, A., Davila Delgado, J. M., Bilal, M., Akinade, O. O., & Ahmed, A. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.103299 · Cited by 1,015
Self-citationLiterature review of digital twins applications in construction workforce safety
Hou, L., Wu, S., Zhang, G. (., Tan, Y., & Wang, X. (2020) · Applied Sciences · doi:10.3390/app11010339 · Cited by 194
Saka, A. B., Oyedele, L. O., Akanbi, L. A., Ganiyu, S. A., Chan, D. W. M., & Bello, S. A. (2023) · Advanced Engineering Informatics · doi:10.1016/j.aei.2022.101869 · Cited by 161
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Metadata
- Authors
- Davila Delgado, J. M., Oyedele, L., Demian, P., & Beach, T.
- Venue
- Advanced Engineering Informatics
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 45
- Pages
- 101122
- ISSN
- 1474-0346 (ISSN-L)
- OpenAlex
- W3024156945
- Cited by
- 486
- References
- 126
- FWCI
- 23.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.