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ProblemPublished recordLaborProblem Space

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
  1. Peer-reviewed2026-11-05

Cite this record

v1

Truvace 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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  1. Publishedv1b3e674bdb302…

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