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Costa, L, Barbosa, M B A, Baldam, R d L and Coelho, T d P (2019) Challenges of Process Modeling in Architecture and Engineering to Execute Projects and Public Works. Journal of Construction Engineering and Management, 145(01).

Han, Y, Feng, Z, Zhang, J, Jin, R and Aboagye-Nimo, E (2019) Employees’ Safety Perceptions of Site Hazard and Accident Scenes. Journal of Construction Engineering and Management, 145(01).

Jeelani, I, Albert, A, Han, K and Azevedo, R (2019) Are Visual Search Patterns Predictive of Hazard Recognition Performance? Empirical Investigation Using Eye-Tracking Technology. Journal of Construction Engineering and Management, 145(01).

  • Type: Journal Article
  • Keywords: Construction safety; Hazard recognition; Hazard identification; Eye-tracking; Visual search; Safety training; Personalized training; Occupational safety; Human factors;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001589
  • Abstract:
    Poor hazard recognition is a widespread issue in the construction industry. When construction hazards remain unrecognized, workers are more likely to indulge in unsafe behavior, experience unanticipated hazard exposure, and suffer catastrophic injuries. To improve our understanding of why construction hazards remain unrecognized, the current study examined hazard recognition as an everyday visual search task—similar to an individual searching for a product in a supermarket, a radiologist examining a radiograph for tissue abnormalities, or a security personnel screening baggage at an airport terminal. More specifically, the research used eye-tracking technology to examine the relationship between visual search patterns adopted by workers while participating in a hazard recognition activity and the resulting performance levels (i.e., hazard recognition performance). The research also focused on testing the effects of introducing a recently developed personalized training intervention on visual search patterns adopted by workers—and the subsequent hazard recognition performance. Visual search patterns examined in the study included search duration, fixation count, fixation spatial density, and others identified from past research. The results reveal that several quantifiable visual search patterns are predictive of superior hazard recognition performance. For example, workers who spent more time examining the workplace for safety hazards (i.e., search duration) recognized a larger proportion of hazards. Likewise, workers that devoted higher levels of attention through a larger number of fixations (i.e., fixation count) and longer fixation durations (i.e., fixation time), and those that distributed their visual attention more broadly across the work area (i.e., fixation spatial density), demonstrated superior performance. The findings also suggest that the adoption of the personalized intervention can lead to improvements in visual search patterns and hazard recognition performance among workers. The present research will be useful to diagnose and remedy search weaknesses demonstrated by workers (i.e., human factors) that are associated with poor hazard recognition levels.

Lee, C, Won, J and Lee, E (2019) Method for Predicting Raw Material Prices for Product Production over Long Periods. Journal of Construction Engineering and Management, 145(01).

Lee, J and Hyun, H (2019) Multiple Modular Building Construction Project Scheduling Using Genetic Algorithms. Journal of Construction Engineering and Management, 145(01).

Nasirian, A, Arashpour, M and Abbasi, B (2019) Critical Literature Review of Labor Multiskilling in Construction. Journal of Construction Engineering and Management, 145(01).

Ryu, J, Seo, J, Jebelli, H and Lee, S (2019) Automated Action Recognition Using an Accelerometer-Embedded Wristband-Type Activity Tracker. Journal of Construction Engineering and Management, 145(01).

Tang, W, Cui, Q, Zhang, F and Chen, Y (2019) Urban Rail-Transit Project Investment Benefits Based on Compound Real Options and Trapezoid Fuzzy Numbers. Journal of Construction Engineering and Management, 145(01).

Techera, U, Hallowell, M and Littlejohn, R (2019) Worker Fatigue in Electrical-Transmission and Distribution-Line Construction. Journal of Construction Engineering and Management, 145(01).

Zhang, M, Cao, T and Zhao, X (2019) Using Smartphones to Detect and Identify Construction Workers’ Near-Miss Falls Based on ANN. Journal of Construction Engineering and Management, 145(01).

Zhang, S, Liu, X, Gao, Y and Ma, P (2019) Effect of Level of Owner-Provided Design on Contractor’s Design Quality in DB/EPC Projects. Journal of Construction Engineering and Management, 145(01).

Zhang, Y, Luo, H, Skitmore, M, Li, Q and Zhong, B (2019) Optimal Camera Placement for Monitoring Safety in Metro Station Construction Work. Journal of Construction Engineering and Management, 145(01).