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    Methodology for Extended Reality–Enabled Experimental Research in Construction Engineering and Management

    Source: Journal of Construction Engineering and Management:;2022:;Volume ( 148 ):;issue: 010::page 04022106
    Author:
    Nan Li
    ,
    Jing Du
    ,
    Vicente A. González
    ,
    Jieyu Chen
    DOI: 10.1061/(ASCE)CO.1943-7862.0002367
    Publisher: ASCE
    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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      Methodology for Extended Reality–Enabled Experimental Research in Construction Engineering and Management

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4288004
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    contributor authorNan Li
    contributor authorJing Du
    contributor authorVicente A. González
    contributor authorJieyu Chen
    date accessioned2022-12-27T20:47:52Z
    date available2022-12-27T20:47:52Z
    date issued2022/10/01
    identifier other(ASCE)CO.1943-7862.0002367.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288004
    description abstractExtended 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.
    publisherASCE
    titleMethodology for Extended Reality–Enabled Experimental Research in Construction Engineering and Management
    typeJournal Article
    journal volume148
    journal issue10
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0002367
    journal fristpage04022106
    journal lastpage04022106_16
    page16
    treeJournal of Construction Engineering and Management:;2022:;Volume ( 148 ):;issue: 010
    contenttypeFulltext
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