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    Designing AI-Generated Warning Messages for On-Site Construction Workers: Insights from Worker Preferences

    Source: Journal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 005::page 04026021-1
    Author:
    An, Mingi
    ,
    Lee, Chaeeun
    ,
    Kim, Myeongjun
    ,
    Lim, Hajin
    ,
    Wohn, Donghee Y.
    ,
    Ahn, Changbum R.
    DOI: 10.1061/JMENEA.MEENG-7288
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAlthough artificial intelligence (AI) is increasingly embedded in smart safety systems on construction sites, its use has largely focused on technical functions, such as hazard detection. Less attention has been paid to how AI communicates with ...
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      Designing AI-Generated Warning Messages for On-Site Construction Workers: Insights from Worker Preferences

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4312765
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    contributor authorAn, Mingi
    contributor authorLee, Chaeeun
    contributor authorKim, Myeongjun
    contributor authorLim, Hajin
    contributor authorWohn, Donghee Y.
    contributor authorAhn, Changbum R.
    date accessioned2026-08-20T11:51:22Z
    date available2026-08-20T11:51:22Z
    date copyright2026/06/03
    date issued2026
    identifier otherJMENEA.MEENG-7288.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312765
    description abstractAbstractAlthough artificial intelligence (AI) is increasingly embedded in smart safety systems on construction sites, its use has largely focused on technical functions, such as hazard detection. Less attention has been paid to how AI communicates with ...
    publisherAmerican Society of Civil Engineers
    titleDesigning AI-Generated Warning Messages for On-Site Construction Workers: Insights from Worker Preferences
    typeJournal Article
    journal volume42
    journal issue5
    journal titleJournal of Management in Engineering
    identifier doi10.1061/JMENEA.MEENG-7288
    journal fristpage04026021-1
    journal lastpage04026021-15
    page15
    treeJournal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 005
    contenttypeFulltext
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