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    Real-Time Fatigue Evaluation Using Ecological Momentary Assessment and Smartwatch Data: An Observational Field Study on Construction Workers

    Source: Journal of Management in Engineering:;2023:;Volume ( 039 ):;issue: 003::page 04023008-1
    Author:
    Soyeon Park
    ,
    Sojeong Seong
    ,
    Yonghan Ahn
    ,
    Heejung Kim
    DOI: 10.1061/JMENEA.MEENG-4953
    Publisher: American Society of Civil Engineers
    Abstract: Managing the fatigue of construction workers is crucial to productivity, quality of work, and accident risk reduction. However, the current practice for assessing fatigue is limited when applied to construction sites. This study proposed a framework to objectively and subjectively evaluate construction workers’ fatigue in real-time using an ecological momentary assessment (EMA) application and smartwatch data. Fatigue data were collected from 100 construction workers over three days. The results revealed that objective fatigue factors (heart rate and physical activity) were easily affected by the characteristics of the construction field (i.e., starting early, changing and demanding schedules, and overworking hours), whereas subjective fatigue steadily increased with working time. Most workers were aware of physical fatigue at the end of work for the day, when the EMA scores were the highest in a day. However, objective and subjective fatigue did not completely concur throughout the work period. Our findings are expected to improve the management of construction site health and safety with priority given to construction workers. The proposed framework, which utilizes EMA and wearable devices as a fatigue assessment method, reflects the comprehensive aspect of work-related fatigue.
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      Real-Time Fatigue Evaluation Using Ecological Momentary Assessment and Smartwatch Data: An Observational Field Study on Construction Workers

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4293066
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    contributor authorSoyeon Park
    contributor authorSojeong Seong
    contributor authorYonghan Ahn
    contributor authorHeejung Kim
    date accessioned2023-08-16T19:18:01Z
    date available2023-08-16T19:18:01Z
    date issued2023/05/01
    identifier otherJMENEA.MEENG-4953.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4293066
    description abstractManaging the fatigue of construction workers is crucial to productivity, quality of work, and accident risk reduction. However, the current practice for assessing fatigue is limited when applied to construction sites. This study proposed a framework to objectively and subjectively evaluate construction workers’ fatigue in real-time using an ecological momentary assessment (EMA) application and smartwatch data. Fatigue data were collected from 100 construction workers over three days. The results revealed that objective fatigue factors (heart rate and physical activity) were easily affected by the characteristics of the construction field (i.e., starting early, changing and demanding schedules, and overworking hours), whereas subjective fatigue steadily increased with working time. Most workers were aware of physical fatigue at the end of work for the day, when the EMA scores were the highest in a day. However, objective and subjective fatigue did not completely concur throughout the work period. Our findings are expected to improve the management of construction site health and safety with priority given to construction workers. The proposed framework, which utilizes EMA and wearable devices as a fatigue assessment method, reflects the comprehensive aspect of work-related fatigue.
    publisherAmerican Society of Civil Engineers
    titleReal-Time Fatigue Evaluation Using Ecological Momentary Assessment and Smartwatch Data: An Observational Field Study on Construction Workers
    typeJournal Article
    journal volume39
    journal issue3
    journal titleJournal of Management in Engineering
    identifier doi10.1061/JMENEA.MEENG-4953
    journal fristpage04023008-1
    journal lastpage04023008-14
    page14
    treeJournal of Management in Engineering:;2023:;Volume ( 039 ):;issue: 003
    contenttypeFulltext
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