A Study on Developing an Attention Network Model (Anm)-Based Analysis Framework for Construction Workers' Attention and Safe Behavior

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.