Abstract: AbstractEffective hazard recognition in construction environments requires workers to allocate attention to hazard-related cues and inhibit unsafe or impulsive responses. Although safety compliance is widely adopted as an ...

Abstract: AbstractThis study investigates whether agents powered by a large language model (LLM)-based service can exhibit algorithmic collusion in construction bidding environments. Using a simulated setting where ChatGPT (GPT-4o) ...

Abstract: AbstractEffective training is crucial for mitigating construction accidents and enhancing worker performance during high-risk complex tasks. Virtual reality (VR) environments are increasingly recognized as offering safer, ...

Abstract: AbstractTo advance proactive accident prevention in construction, training employs virtual reality (VR) programs that elicit active learning through rich, bidirectional interactions between the system and the learner. ...

Abstract: AbstractThe rise of algorithmic decision-making across various industries has introduced both opportunities and challenges, particularly in markets in which competitive pricing is crucial. This study investigated the ...

Abstract: AbstractAlthough artificial intelligence (AI) is increasingly embedded in smart safety systems on construction sites, its use has largely focused on technical functions, such as hazard detection. Less attention has been ...