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    Using Augmented Virtuality to Examine How Emotions Influence Construction-Hazard Identification, Risk Assessment, and Safety Decisions

    Source: Journal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 002
    Author:
    Siddharth Bhandari
    ,
    Matthew R. Hallowell
    ,
    Leaf Van Boven
    ,
    Keith M. Welker
    ,
    Mani Golparvar-Fard
    ,
    June Gruber
    DOI: 10.1061/(ASCE)CO.1943-7862.0001755
    Publisher: ASCE
    Abstract: There is emerging evidence that emotional states can influence human decision making under uncertainty. However, it remains unclear if and how emotions influence people’ ability to recognize hazards, assess safety risk, and make decisions within an occupational safety context. Literature from construction safety, risk perception, and decision science domains was leveraged to create a conceptual model on the influence of incidental and integral emotions on hazard identification, risk assessment, and decision-making skills. The model was then tested via controlled laboratory experiment where participants (N=73) were placed in a high-fidelity augmented virtual construction environment. A mixed-model analyses revealed that contextually relevant emotional responses to the construction hazards modulated subsequent valuations of risk associated and ultimate safety decisions. However, no direct relationship was found between induced emotional states and hazard-identification performance. These results also provide preliminary evidence that emotions, not objective evaluations, may be the primary driver of safety-related decision making. The importance of these findings as they relate to improving safety training programs and well-being of the workforce is detailed in this paper.
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      Using Augmented Virtuality to Examine How Emotions Influence Construction-Hazard Identification, Risk Assessment, and Safety Decisions

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4265127
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    • Journal of Construction Engineering and Management

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    contributor authorSiddharth Bhandari
    contributor authorMatthew R. Hallowell
    contributor authorLeaf Van Boven
    contributor authorKeith M. Welker
    contributor authorMani Golparvar-Fard
    contributor authorJune Gruber
    date accessioned2022-01-30T19:21:02Z
    date available2022-01-30T19:21:02Z
    date issued2020
    identifier other%28ASCE%29CO.1943-7862.0001755.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4265127
    description abstractThere is emerging evidence that emotional states can influence human decision making under uncertainty. However, it remains unclear if and how emotions influence people’ ability to recognize hazards, assess safety risk, and make decisions within an occupational safety context. Literature from construction safety, risk perception, and decision science domains was leveraged to create a conceptual model on the influence of incidental and integral emotions on hazard identification, risk assessment, and decision-making skills. The model was then tested via controlled laboratory experiment where participants (N=73) were placed in a high-fidelity augmented virtual construction environment. A mixed-model analyses revealed that contextually relevant emotional responses to the construction hazards modulated subsequent valuations of risk associated and ultimate safety decisions. However, no direct relationship was found between induced emotional states and hazard-identification performance. These results also provide preliminary evidence that emotions, not objective evaluations, may be the primary driver of safety-related decision making. The importance of these findings as they relate to improving safety training programs and well-being of the workforce is detailed in this paper.
    publisherASCE
    titleUsing Augmented Virtuality to Examine How Emotions Influence Construction-Hazard Identification, Risk Assessment, and Safety Decisions
    typeJournal Paper
    journal volume146
    journal issue2
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0001755
    page04019102
    treeJournal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 002
    contenttypeFulltext
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