Methodology for Extended Reality–Enabled Experimental Research in Construction Engineering and Management
Publication: Journal of Construction Engineering and Management
Volume 148, Issue 10
Abstract
Extended reality (XR) technologies are increasingly being used as a novel research instrument to facilitate scientific inquires in the construction engineering and management (CEM) domain. By allowing humans to interact with immersive environments in controlled and monitored experimental settings, XR technologies have opened new opportunities for researchers to conduct CEM research involving human participants or concerning human behavior. Yet, XR-enabled research, as an independent, rigorous methodology for the CEM domain, is still underexplored. This paper serves as an effort to build an organized knowledge base and workflow for using XR technologies in various CEM research areas and methodological contexts. The paper first investigates the status quo of XR-enabled CEM research, by identifying current research areas in the CEM domain where XR technologies are considered the preferred or recommended methodological solutions. A process model for XR-enabled research is then proposed, with actionable recommendations about how XR-enabled research should be planned, designed, implemented, analyzed, verified, and validated. This process model is demonstrated with two illustrative case studies. Last, the paper discusses the philosophical, methodological, and technological roots of the evolution of XR-enabled CEM research and describes our vision of more enabling, adoptable, and value-adding XR-enabled research in CEM in the near future.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
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Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 148 • Issue 10 • October 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Oct 25, 2021
Accepted: May 11, 2022
Published online: Jul 23, 2022
Published in print: Oct 1, 2022
Discussion open until: Dec 23, 2022
ASCE Technical Topics:
- Artificial intelligence and machine learning
- Business management
- Case studies
- Computer programming
- Computing in civil engineering
- Construction engineering
- Construction management
- Construction methods
- Engineering fundamentals
- Human and behavioral factors
- Knowledge-based systems
- Management methods
- Methodology (by type)
- Practice and Profession
- Research methods (by type)
- Verification
Authors
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