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Mixed Reality in Building Construction Inspection and Monitoring: A Systematic Review

Authors: Rana Muhammad Irfan Anwar; Salman Azhar;

Mixed Reality in Building Construction Inspection and Monitoring: A Systematic Review

Abstract

Mixed reality (MR) technology has the potential to enhance building construction inspection and monitoring processes, improving efficiency, accuracy, and safety. This systematic review intends to investigate the present research status on MR in building construction inspection and monitoring. The review covers existing literature and practical case studies that scrutinize current technologies, their applications, challenges, and future trends in this rapidly evolving field. This article follows a methodology known as Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) to enhance the credibility and reliability of research. The study includes articles published between 2018 and 2023, identified through a comprehensive search of Scopus and Google Scholar databases. Findings indicate that MR technology has the potential to enhance visualization, communication, and collaboration between stakeholders, as well as increase efficiency and accuracy in inspection and monitoring tasks by providing real-time interactable data and quick decision-making among the project team members. The adoption of MR technology in the construction industry will not only boost its effectiveness but also improve its productivity. However, limitations such as high costs, technical issues, and user acceptance pose challenges to the widespread adoption of MR in building construction. Future research should address these limitations and investigate MR’s long-term impact on building construction inspection and monitoring.

Related Organizations
Keywords

construction industry, inspection and monitoring, Electronic computers. Computer science, QA75.5-76.95, mixed reality

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
gold