Technical Papers
Mar 30, 2022

Using Worker Characteristics, Personality, and Attentional Distribution to Predict Hazard Identification Performance: A Moderated Mediation Analysis

Publication: Journal of Construction Engineering and Management
Volume 148, Issue 6

Abstract

This study investigated the moderating effect of personality traits in the association between worker characteristics (work experience, training, and previous injury exposure) and hazard-identification performance through mechanisms of visual attentional indicators. Through an integrated moderated mediation model, the attentional distribution, search strategy, and hazard-identification performance of participants were examined across 115 fall hazards. Results indicate that individuals with more work experience and safety training were better at hazard identification independent of visual attention and regardless of personality. Furthermore, individual differences in conscientiousness and openness personality dimensions significantly moderated the associations between (1) worker characteristics and visual attention; and (2) visual attention and hazard identification. This study provides empirical evidence for the potentially pivotal role of worker characteristics and dispositional traits with regard to hazard-identification performance on jobsites. These findings can empower safety managers to identify at-risk workers and design personalized intervention strategies to improve the hazard-identification skills of workers.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This paper is based on work supported by the National Science Foundation under Grant Nos. 1824238 and 1824224. The opinion, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. The authors would also like to thank the workers and students who participated in this study. Appreciation is extended to professional safety managers for their support in this study.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 148Issue 6June 2022

History

Received: Sep 15, 2021
Accepted: Feb 22, 2022
Published online: Mar 30, 2022
Published in print: Jun 1, 2022
Discussion open until: Aug 30, 2022

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Graduate Research Assistant, Sid and Reva Dewberry Dept. of Civil, Environmental and Infrastructure Engineering, George Mason Univ., Nguyen Engineering Bldg., Suite 2622, Fairfax, VA 22030. ORCID: https://orcid.org/0000-0002-1107-2793. Email: [email protected]
Sogand Hasanzadeh, A.M.ASCE [email protected]
Assistant Professor, Lyles School of Civil Engineering and Construction Engineering and Management, Purdue Univ., 550 W Stadium Ave., 1229 Hampton Hall, West Lafayette, IN 47907 (corresponding author). Email: [email protected]
Assistant Professor, Sid and Reva Dewberry Dept. of Civil, Environmental and Infrastructure Engineering, George Mason Univ., Nguyen Engineering Bldg., Suite 1405, Fairfax, VA 22030. ORCID: https://orcid.org/0000-0003-3858-1843. Email: [email protected]
Michael D. Dodd [email protected]
Professor, Dept. of Psychology, Univ. of Nebraska–Lincoln, Lincoln, NE 68588. Email: [email protected]
Associate Professor, Dept. of Psychology, Univ. of Nebraska–Lincoln, BURN 220, Lincoln, NE 68588. ORCID: https://orcid.org/0000-0001-7826-6421. Email: [email protected]

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Cited by

  • Personalized Construction Safety Interventions Considering Cognitive-Related Factors, Journal of Construction Engineering and Management, 10.1061/JCEMD4.COENG-13707, 149, 12, (2023).
  • Road Construction Workers’ Boredom Susceptibility, Habituation to Warning Alarms, and Accident Proneness: Virtual Reality Experiment, Journal of Construction Engineering and Management, 10.1061/JCEMD4.COENG-12818, 149, 2, (2023).

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