Journal of Engineering, Project, and Production Management, 2025, 15(1), 0006
Human-AI Partnership to Improve Construction Workers’ Experience on Safety, Performance, and Health: A Systematic Review of The North American Construction Industry
1Assistant Professor, Department
of Civil Engineering, University of Texas at Arlington, 416 Yates St.,
NH 437, Arlington, TX 76019, USA, E-mail: mdnazmus.sakib@uta.edu
(corresponding author).
2Professor, Department of Civil, Environmental, and
Architectural Engineering, University of Colorado Boulder, 1440 15th St,
IBS 267, Boulder, CO 80309, USA, E-mail: amir.behzadan@colorado.edu
Project Management
Received January 25, 2024; received revision November 19, 2024; accepted November 21, 2024
Available online December 22, 2024
Abstract: Although construction is one of the oldest sectors of the global economy, the digital innovation and application of artificial intelligence (AI) in the industry are still insignificant. For the past several years, however, with rapid advancements in supporting technologies and computing power, the construction industry has made several strides in areas such as digitalization, data-driven design and planning, and automation. As the industry is in the process of adopting and customizing AI-powered tools and technologies in its daily workflows to improve safety, new opportunities are being created to enable human workers and stakeholders to seamlessly collaborate with AI in various aspects of project design, planning, construction, operation, and maintenance. The promise of human-AI collaboration in construction has, in turn, given rise to new research endeavors that focus on adaptability, usability, and expandability rather than mere algorithmic development. Prior to implementing any new AI technology in construction, users need to understand its impact on the human worker. Despite several systematic literature reviews on the applications of AI in construction, to date, there is limited investigation into the workers’ experience during such transition from traditional to AI-driven work. In this study, a systematic literature review on AI in the construction industry is conducted through the lens of how such implementation might affect human workers’ performance, behavior, and experience. The paper identifies common human factors involved in introducing AI and discusses the connection between those factors and potential AI applications in the industry. Finally, future directions for human-AI partnership in construction are outlined.
Keywords: Human-AI, human factors, workers’ experience, construction.
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Citation: Sakib, M. N., and Behzadan, A. H. (2025). Human-AI Partnership to Improve Construction Workers’ Experience on Safety, Performance, and Health: A Systematic Review of The North American Construction Industry. Journal of Engineering, Project, and Production Management, 15(1), 0006.
DOI:
10.32738/JEPPM-2025-0006
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