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References

1
Ahmadi, E., Muley, S., Wang, C. (2024). Automatic construction accident report analysis using large language models (LLMs), Journal of Intelligent Construction, 3(1), 1-10.DOI
2
Alsalamah, A., Callinan, C. (2022). The Kirkpatrick model for training evaluation: bibliometric analysis after 60 years (1959–2020), Industrial and Commercial Training, 54(1), 36-63.DOI
3
An, J. Y. (2019). A Study on the Improvement of Safety Measure Implement in Construction Industry Risk Assessment M.S. thesis, Chungju: Korea National Univ of Transportation..Google Search
4
Brooke, J., Jordan, P. W., Thomas, B., Weerdmeester, B. A., McClelland, I. L. (1996). Usability Evaluation in Industry, 189-194, Taylor & Francis, London, U.K..Google Search
5
Cho, M. G., Lee, D. H., Park, J. Y., Park, S. H. (2022). Development of machine learning-based construction accident prediction model using structured and unstructured data of construction sites, KSCE Journal of Civil and Environmental Engineering Research, 42(1), 127-134 (in Korean).DOI
6
Choi, H. J. (2022). Risk assessment for disaster reduction in small-scale construction sites, Journal of the Society of Disaster Information, 18(2), 395-404 (in Korean).DOI
7
Jian, J. Y., Bisantz, A. M., Drury, C. G. (2000). Foundations for an empirically determined scale of trust in automated systems, International Journal of Cognitive Ergonomics, 4(1), 53-71.DOI
8
Kang, C. S. (2024). Safety Accident Management at Construction Site a study on a plan Focusing on the ultra-small scale construction sites M.S. thesis, Seoul: Hansung Univ..Google Search
9
Korean Statistical Information Service KOSIS (2025). Overall Accident Status and Analysis by Industry (in Korean).Google Search
10
Lee, D. Y., Kim, D. E. (2021). A study on the probabilistic risk analysis for safety management in construction projects, Journal of The Korea Society of Computer and Information, 26(8), 139-147 (in Korean).DOI
11
Lee, K. H., Cho, J. H., Kim, Y. H., Kang, S. H. (2024). Application of generative artificial intelligence for text-based construction accident data analysis: Prompt design to improve hallucination issue, , 349-350, KSCE 2024 Convention, Jeju (in Korean).Google Search
12
Lee, J., Lee, S. (2023). Construction site safety management: a computer vision and deep learning approach, Sensors, 23(2), 944.DOI
13
Lee, K. H. (2026). Development of a Generative AI-based Support System for Risk Assessment at Construction Sites Master thesis. thesis, Incheon: Incheon National Univ..Google Search
14
Lee, K. S., Kang, S. W., Shin, Y. S., Yoo, W. S. (2022). A study on machine learning-based prediction of occupational accidents in building construction sites - Focused on the accident cases recorded in metropolitan area -, , 42(2), 1043-1044, Jeju (in Korean).Google Search
15
Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.-T., Rocktaschel, T., Riedel, S., Kiela, D. (2020). Retrieval-augmented generation for knowledge-intensive nlp tasks, Advances in Neural Information Processing Systems, 33, 9459-9474.DOI
16
Longo, L. (2018). Experienced mental workload, perception of usability, their interaction and impact on task performance, Public Library of Science One, 13(8), 1-25.DOI
17
Lu, Y., Gong, P., Tang, Y., Sun, S., Li, Q. (2021). BIM-integrated construction safety risk assessment at the design stage of building projects, Automation in Construction, 124.DOI
18
Ministry of Employment and Labor MOEL (2023). 2023 New Risk Assessment Guide (in Korean).Google Search
19
Okonkwo, O., Dridi, A., Vakaj, E. (2023). Leveraging word embeddings and transformers to extract semantics from building regulations text, , 3633, 1-13, Matera, Italia.Google Search
20
Oviedo-Trespalacios, O., Peden, A. E., Cole-Hunter, T., Costantini, A., Haghani, M., Rod, J. E., Kelly, S., Torkamaan, H., Tariq, A., Newton, J. D. A., Gallagher, T., Steinert, S., Filtness, A. J., Reniers, G. (2023). The risks of using ChatGPT to obtain common safety-related information and advice, Safety Science, 167.DOI
21
Paek, C. H., Cho, U. R. (2015). A study on the optimization effectiveness of risk assessment in construction industry, Journal of Korea Safety Management & Science, 17(3), 15-22 (in Korean).DOI
22
Park, C. S. (2024). Factors influencing risk assessment in construction workplaces, Quarterly Journal of Labor Policy, 24(4), 67-95 (in Korean).DOI
23
Qian, Y. R., Yu, J. H., Lee, S. K. (2024). An automated risk assessment based on GPT and RAG for small and medium-sized construction sites, Korean Journal of Safety Culture, 35(12), 169-180 (in Korean).DOI
24
Ro, H. S., Kim, B. S. (2015). Research on problems and vitalization of risk assessment of construction industry, , 1-15, Seoul (in Korean).Google Search
25
Sengar, S. S., Hasan, A. B., Kumar, S., Carroll, F. (2025). Generative artificial intelligence: a systematic review and applications, Multimedia Tools and Applications, 84(21), 23661-23700.DOI
26
Seo, Y. H., Woo, I. S., Jang, C., Hwang, M. H. (2015). Research on effectiveness of risk assessment of construction industry by self administered questionnaires, The Journal of Risk Management, 26(3), 1-27 (in Korean).DOI
27
Shepherd, R., Lorente, L., Vignoli, M., Nielsen, K., Peiró, J. M. (2021). Challenges influencing the safety of migrant workers in the construction industry: A qualitative study in Italy, Spain, and the UK, Safety Science, 142.DOI
28
Sim, G. B. (2006). Problems and their Solutions related to the Multi-tier Subcontracting in Korean Construction Industry, Construction & Economy Research Institute of Korea (in Korean).Google Search
29
Smetana, M., Salles de Salles, L., Sukharev, I., Khazanovich, L. (2024). Highway construction safety analysis using large language models, Applied Sciences, 14(4), 1352.DOI
30
Topsakal, O., Akinci, T. C. (2023). Creating large language model applications utilizing langchain: A primer on developing llm apps fast, , 1(1), 1050-1056, Konya, Turkey.DOI
31
Uhm, M., Kim, J., Ahn, S., Jeong, H., Kim, H. (2025). Effectiveness of retrieval augmented generation-based large language models for generating construction safety information, Automation in Construction, 170.DOI
32
Wi, H. J., Oh, T. K. (2024). A study on activation of vulnerable worker participation for risk assessment in construction, The Journal of the Convergence on Culture Technology, 10(1), 533-538 (in Korean).DOI