Aqsa Sabir, M.Sc.

@article{Sabir2024,

title = {Conversational AI-based VR system to improve construction safety training of migrant workers},

author = {A Sabir and R Hussain and DY Lee and SF Zaidi and A Pedro and MS Abbas and C Park},

url = {https://doi.org/10.1016/j.autcon.2024.105315},

doi = {10.1016/j.autcon.2024.105315},

year  = {2024},

date = {2024-04-01},

urldate = {2024-04-01},

journal = {Automation in Construction},

volume = {160},

issue = {0926-5805},

pages = {105315},

abstract = {Inadequate communication during construction safety training can hinder knowledge transfer to workers, particularly migrant workers who face linguistic and literacy barriers, resulting in higher rates of fatal injuries. Additionally, limited abilities of trainers can further exacerbate this problem. To overcome these gaps, this paper presents a virtual reality-based knowledge delivery approach by integrating artificial Intelligence (AI) agent using ChatGPT as a live instructor. The system's effectiveness is assessed with participants from five countries. Results show a significant increase of 23% in scores between pre- and post-tests, indicating improved knowledge. The system performs uniformly across diverse language and educational backgrounds particularly benefiting those with prior experience. This research significantly contributes to the global construction community by improving safety training, promotes safer practices, and ultimately reduces accidents in diversified construction sites. It also opens avenues for research in immersive technologies and AI techniques, advancing in training methodologies and enhancing safety outcomes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}