TY - GEN
T1 - Working-memory load as a factor determining the safety performance of construction workers
AU - Liko, Gentian
AU - Esmaeili, Behzad
AU - Hasanzadeh, Sogand
AU - Dodd, Michael D.
AU - Brock, Rebecca
N1 - Funding Information:
The National Science Foundation is thanked for supporting the research reported in this paper through the Decision, Risk and Management Sciences (DRMS) program (Grant Nos. 1824238 and 1824224). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the writers and do not necessarily reflect the views of the National Science Foundation.
Publisher Copyright:
© 2020 American Society of Civil Engineers.
PY - 2020
Y1 - 2020
N2 - Cognitive processes have been found to contribute substantially to the human errors that lead to construction accidents. Working memory is a cognitive system with a limited capacity that deals with storage and active processing and is critical to a number of different processes. As a departure in construction industry research, this study correlates attentional allocation (measured via eye tracking) with working memory to assess workers' situation awareness under different scenarios that expose workers to various hazards. To achieve this goal, this study merges research linking eye movements and workers' attention with research focused on working-memory load and decision making to evaluate what, how, and where a worker distributes his/her attention while performing a task under different working-memory loads. Path analysis models then examined the direct and indirect effect of different working-memory loads on hazard identification performance. The independent variable (working-memory load) is linked to the dependent variable (hazard identification) through a set of mediators (attention metrics). The results showed that the high-memory load condition delayed workers' hazard identification. The findings of this study emphasize the important role working memory plays in determining how and why workers in dynamic work environments fail to detect, comprehend, and/or respond to physical risks.
AB - Cognitive processes have been found to contribute substantially to the human errors that lead to construction accidents. Working memory is a cognitive system with a limited capacity that deals with storage and active processing and is critical to a number of different processes. As a departure in construction industry research, this study correlates attentional allocation (measured via eye tracking) with working memory to assess workers' situation awareness under different scenarios that expose workers to various hazards. To achieve this goal, this study merges research linking eye movements and workers' attention with research focused on working-memory load and decision making to evaluate what, how, and where a worker distributes his/her attention while performing a task under different working-memory loads. Path analysis models then examined the direct and indirect effect of different working-memory loads on hazard identification performance. The independent variable (working-memory load) is linked to the dependent variable (hazard identification) through a set of mediators (attention metrics). The results showed that the high-memory load condition delayed workers' hazard identification. The findings of this study emphasize the important role working memory plays in determining how and why workers in dynamic work environments fail to detect, comprehend, and/or respond to physical risks.
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U2 - 10.1061/9780784482872.054
DO - 10.1061/9780784482872.054
M3 - Conference contribution
AN - SCOPUS:85096906150
T3 - Construction Research Congress 2020: Safety, Workforce, and Education - Selected Papers from the Construction Research Congress 2020
SP - 499
EP - 508
BT - Construction Research Congress 2020
A2 - El Asmar, Mounir
A2 - Grau, David
A2 - Tang, Pingbo
PB - American Society of Civil Engineers (ASCE)
T2 - Construction Research Congress 2020: Safety, Workforce, and Education
Y2 - 8 March 2020 through 10 March 2020
ER -