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    Behavioral and Emotional Insights from Collaborative Generative Learning Activities in Immersive VR-Based Construction Safety Training 

    Source: Journal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 005:;page 04026025-1
    Author(s): Ding, Dong; Kim, Myeongjun; Park, Moonseo; Ahn, Changbum R.
    Publisher: American Society of Civil Engineers
    Abstract: AbstractTo advance proactive accident prevention in construction, training employs virtual reality (VR) programs that elicit active learning through rich, bidirectional interactions between the system and the learner. ...
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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(s): An, Mingi; Lee, Chaeeun; Kim, Myeongjun; Lim, Hajin; Wohn, Donghee Y.; Ahn, Changbum R.
    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 ...
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    Evaluating Safety Compliance History as an Indicator of Attentional Allocation and Unsafe Response Inhibition among Construction Workers 

    Source: Journal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 002:;page 04025069-1
    Author(s): Kim, Myeongjun; Lee, Seongtaek; Hwang, Eugene; Shin, Hyemin; Lee, Jeongmi; Ahn, Changbum R.
    Publisher: American Society of Civil Engineers
    Abstract: AbstractEffective hazard recognition in construction environments requires workers to allocate attention to hazard-related cues and inhibit unsafe or impulsive responses. Although safety compliance is widely adopted as an ...
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