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dc.contributor.authorAn, Mingi
dc.contributor.authorLee, Chaeeun
dc.contributor.authorKim, Myeongjun
dc.contributor.authorLim, Hajin
dc.contributor.authorWohn, Donghee Y.
dc.contributor.authorAhn, Changbum R.
dc.date.accessioned2026-08-20T11:51:22Z
dc.date.available2026-08-20T11:51:22Z
dc.date.copyright2026/06/03
dc.date.issued2026
dc.identifier.otherJMENEA.MEENG-7288.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312765
dc.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 ...
dc.publisherAmerican Society of Civil Engineers
dc.titleDesigning AI-Generated Warning Messages for On-Site Construction Workers: Insights from Worker Preferences
dc.typeJournal Article
dc.journal.volume42
dc.journal.issue5
dc.journal.titleJournal of Management in Engineering
dc.identifier.doi10.1061/JMENEA.MEENG-7288
dc.journal.fristpage04026021-1
dc.journal.lastpage04026021-15
dc.page15
dc.treeJournal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 005
dc.contenttypeFulltext


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