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How Human–AI Interaction Reshapes Construction Workers’ Safety Behaviors: Insights from Agent-Based Modeling
- Truvace record
- TRV-2026-2488raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Controlled or validated comparison
- Sources
- 1 sourcePeer-reviewed
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Abstract The complex nature of human–artificial intelligence (AI) interaction (HAI) introduces new challenges for worker safety. While ensuring human well-being in HAI has become a shared objective, the lack of quantifiable approaches limits our ability to capture its nuanced effects on workers. To address this gap, the present study develops an agent-based modeling framework grounded in stimulus-organism-response (SOR) theory. The model simulates workers’ interactions with AI systems and peers within a bounded…
The problem
In an agent-based simulation validated at a smart construction site, workers' safety behavior steadily declined as their interaction with AI systems deepened, with extra-role safety behavior falling most.
What this doesn’t fix
The findings come mainly from an agent-based simulation in a bounded two-dimensional space, with empirical validation at one smart construction site.
Sources
1 on file- Journal of Construction Engineering and Managementdoi:10.1061/jcemd4.coeng-18562
Cite this record
v1Truvace Impact Record TRV-2026-2488, v1: “How Human–AI Interaction Reshapes Construction Workers’ Safety Behaviors: Insights from Agent-Based Modeling.” Truvace, 2026-11-12. /record/TRV-2026-2488 (accessed on the day you copy it). sha256 b3e674bdb30221ca…
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