營造業在各國都是具有最高度職業災害風險的產業，因此，陸續有不同類型的研究投入在提升營造業職業安全的目標上，營造業勞工的不安全行為即是相關研究的議題之一，而其研究成果指出使勞工產生安全行為是預防職業災害發生最根本方法之一。然而，目前的研究仍有幾點不足之處，首先，過去研究提及勞工的認知因素對行為安全與否扮演重要的角色，但鮮少文獻對營造業勞工注意力認知功能進行評估探討；其次，營造業勞工的注意力與不安全行為之間實際上如何產生關聯仍未有研究加以探討；最後，營造業的工作項目複雜且繁多，使其具有工作時數長、勞動負荷量大等特性，但尚未有營造業勞工疲勞與注意力之間相互影響的分析。因此，本研究計畫建立一個以注意力網絡模型為基礎之營造業勞工疲勞程度、注意力與安全行為的分析架構以解決前述的三點不足之處，該架構將以營造業勞工認知功能中的注意力網絡模型為核心，嘗試從三項變數相互間之關聯性角度，或勞工疲勞程度與注意力、注意力與安全行為之間相互關聯性角度切入探討，最終結果將可作為政府相關單位制訂營造安全管理教育與推動策略的參考。 ;Construction industry is the most dangerous industry globally, and in view of the fact, many research efforts have been made to promote occupational safeties in the construction industry. One of the efforts is to analyze the unsafe behavior of construction workers and its research results indicate that making construction workers perform safe behavior can prevent occupational hazards. However, existing studies still have three limitations. First, past research depicted that cognitive factors are important roles for safe behavior, but rare research focused on the attention factor among cognitive factors. Second, it is still unclear how construction workers’ attention are associated with unsafe behavior. Last, construction activities are complicated and involve lots of work items, making construction have characteristics such as long working hours and heavy physical loading; however, no research studied the association between construction workers’ burnout and attention. Therefore, this research project aims at developing an attention network model-based analysis framework comprising workers’ burnout, attention and safe behavior as its three factors to address the three aforementioned limitations. The analysis framework centers on the attention of workers’ cognitive functions and attempts to identify the associations among the three factors, or associations between burnout and attention and between attention and safe behavior. The applicant expects the research result can stimulate government agencies to establish educational and promotional strategies of construction safety management.
