Project Planning in Construction 4.0: AI-Driven Chatbots for Project Planning Challenges

Ema Kobašević; Mario Galić

doi:10.2478/sjce-2026-0010

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Project Planning in Construction 4.0: AI-Driven Chatbots for Project Planning Challenges

Slovak Journal of Civil Engineering

Volume 34 (2026): Issue 2 (June 2026)

By: Ema Kobašević and Mario Galić

Open Access

|Jun 2026

Abstract

From a promising idea and gadget, Artificial Intelligence (AI), is becoming a reliable tool in everyday business. Industries report a galloping adoption of AI across communications, optimization, planning, safety protocols, and monitoring. The construction industry, known for its slow adoption of new technologies, is sluggishly but surely reporting positive feedback and promising potential of the utilization of AI. This study has applied the most notable AI-driven chatbots, i.e., ChatGPT, Microsoft Copilot, Google Gemini, and DeepSeek, to solve standard project planning tasks. The results revealed that chatbots are surprisingly skilled at solving problems, but only when used by an experienced, professional user. Furthermore, the results showed the differences among the chatbots in solving the same types and scales of problems. Also, all analyzed chatbots can export data into documents compatible with standard project planning tools.

References

ABIOYE, Sofiat O. et al. Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Online. Journal of Building Engineering, vol. 44 (2021). Available at: https://doi.org/10.1016/j.jobe.2021.103299 [viewed 2025-02-28].
Search in Google Scholar Back to article
ABU-HAIFA, Mohammad, et al. Comparative analysis of ChatGPT, GPT-4, and Microsoft Copilot Chatbots for GRE test. Online. International Journal of Learning, Teaching and Educational Research, vol. 23 (2024), iss. 6, pp. 327-347. Available at: https://doi.org/10.26803/ijlter.23.6.15 [viewed 2026-05-19]
Search in Google Scholar Back to article
AUSTRALIAN GOVERNMENT – DEPARTMENT OF INDUSTRY, SCIENCE AND RESOURCES. Exploring AI adoption in Australian businesses. Online. Available at: https://www.industry.gov.au/news/exploring-ai-adoption-australian-businesses [viewed 2025-03-05].
Search in Google Scholar Back to article
BANG, Sofie and OLSSON, Nils. VArtificial intelligence in Construction Projects: A Systematic Scoping Review. Online. Journal of Engineering, Project, and Production Management, vol. 12 (2022), iss. 3, pp. 224-238. Available at: https://doi.org/10.32738/JEPPM-2022-0021 [viewed 2025-02-28].
Search in Google Scholar Back to article
BANG, Yejin, et al. Hallulens: Llm hallucination benchmark. Online. In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). (2025), pp. 24128-24156. Available at: https://doi.org/10.18653/v1/2025.acl-long.1176 [viewed 2026-05-20].
Search in Google Scholar Back to article
BEGIĆ, Hana and GALIĆ, Mario. A Systematic Review of Construction 4.0 in the Context of the BIM 4.0 Premise. Online. Buildings, vol. 11 (2021), 337. Available at: https://doi.org/10.3390/buildings11080337 [viewed 2025-02-28].
Search in Google Scholar Back to article
CHEN, Tong. Research on comparative analysis of ChatGPT and DeepSeek in business administration and AI development strategies. Online. International Journal of Business Management and Economics and Trade, vol. 6 (2024), iss. 1, pp. 32-38. Available at: https://doi.org/10.38007/IJBMET.2025.060104 [viewed 2026-05-19]
Search in Google Scholar Back to article
DEEPSEEK AI. DeepSeek. Online. Available at: https://deepseek.ai/ [viewed 2025-02-15].
Search in Google Scholar Back to article
EMAMINEJAD, Newsha and AKHAVIAN, Reza. Trustworthy AI and robotics: Implications for the AEC industry. Online. Automation in Construction, vol. 139 (2022). Available at: https://doi.org/10.1016/j.autcon.2022.104298 [viewed 2025-02-28].
Search in Google Scholar Back to article
EUROPEAN COMMISSION. General-Purpose AI Code of Practice. Online. Available at: https://digital-strategy.ec.europa.eu/en/policies/ai-code-practice [viewed 2025-03-04].
Search in Google Scholar Back to article
FELICETTI, Alberto Michele, et al. Artificial intelligence and project management: An empirical investigation on the appropriation of generative Chatbots by project managers. Online. Journal of Innovation & Knowledge, vol. 9 (2024), iss. 3. Available at: https://doi.org/10.1016/j.jik.2024.100545 [viewed 2025-03-01].
Search in Google Scholar Back to article
GOOGLE. Gemini – Google. Online. Available at: https://gemini.google.com/ [viewed 2025-02-15].
Search in Google Scholar Back to article
GUPTA, Bulbul, et al. ChatGPT: A brief narrative review. Online. Cogent Business & Management, vol. 10 (2023), iss. 3, 2275851. Available at: https://doi.org/10.1080/23311975.2023.2275851 [viewed 2026-05-19]
Search in Google Scholar Back to article
HAJDU, Mikloš (2023). Using ChatGPT to solve a PDM network with FS0 relationships. Online. In: Proceedings of the Creative Construction Conference 2023. Online. Budapest University of Technology and Economics, pp. 708-719. Available at: https://doi.org/10.3311/CCC2023-091 [viewed 2025-02-28].
Search in Google Scholar Back to article
HOLZMANN, Vered and LECHIARA, Michele. Artificial Intelligence in Construction Projects: An Explorative Study of Professionals’ Expectations. Online. European Journal of Business and Management Research, vol. 7 (2022), iss. 3, pp. 151-162. Available at: https://doi.org/10.24018/ejbmr.2022.7.3.1432 [viewed 2025-02-28].
Search in Google Scholar Back to article
JI, Ziwei, et al. Towards mitigating LLM hallucination via self reflection. Online. In: Findings of the Association for Computational Linguistics: EMNLP 2023. (2023), pp. 1827-1843. Available at: https://doi.org/10.18653/v1/2023.findings-emnlp.123 [viewed 2026-05-20]
Search in Google Scholar Back to article
LEE, Eun-Ju, et al. Something's fishy about it: How opinion congeniality and explainability affect motivated attribution to artificial intelligence versus human comment moderators. Online. Cyberpsychology, behavior, and social networking, vol. 25 (2022), iss. 8, pp. 496-503. Available at: https://doi.org/10.1089/cyber.2021.0347 [viewed 2026-05-11].
Search in Google Scholar Back to article
LEE, Hsin-Yu and HUANG, Yueh-Min. Bridging STEM education and ubiquitous learning: A case study on developing a LINE chatbot with Google’s Gemini for virtual peer collaboration. Online. In: International Conference on Innovative Technologies and Learning. Cham: Springer Nature Switzerland, (2024), pp. 237-246. Available at: https://doi.org/10.1007/978-3-031-65884-6_25 [viewed 2026-05-19]
Search in Google Scholar Back to article
LIANG, Ci-Jyun et al. Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry. Online. Automation in Construction, vol. 162 (2024). Available at: https://doi.org/10.1016/j.autcon.2024.105369 [viewed 2025-02-28].
Search in Google Scholar Back to article
MICROSOFT. Microsoft Copilot: Your AI companion. Online. Available at: https://copilot.microsoft.com/ [viewed 2025-02-15].
Search in Google Scholar Back to article
NG, Sheryl Wei Ting and ZHANG, Renwen. Trust in AI-driven chatbots: A systematic review. Online. Telematics and Informatics, vol. 97 (2025). Available at: https://doi.org/10.1016/j.tele.2025.102240 [viewed 2025-03-01]
Search in Google Scholar Back to article
OGUNDIPE, Olorunshogo Benjamin; OKWANDU, Azubuike Chukwudi and ABDULWAHEED, Sanni Ayinde. Optimizing construction supply chains through AI: Streamlining material procurement and logistics for project success. GSC Advanced Research and Reviews, vol. 20 (2024), pp. 147-158. Available at: https://doi.org/10.30574/gscarr.2024.20.1.0258 [viewed 2025-03-01].
Search in Google Scholar Back to article
OPEN AI. Introducing ChatGPT. Online. Available at: https://openai.com/index/chatgpt/ [viewed 2025-02-15].
Search in Google Scholar Back to article
ORTIZ, Sabrina. The best AI chatbots of 2025: ChatGPT, Copilot, and notable alternatives. Online. Available at: https://www.zdnet.com/article/best-ai-chatbot/#google_vignette [viewed 2025-02-15].
Search in Google Scholar Back to article
PAN, Yue and ZHANG, Limao. Integrating BIM and AI for Smart Construction Management: Current Status and Future Directions. Online. Archives of Computational Methods in Engineering, vol. 30 (2023), pp. 1081-1110. Available at: https://doi.org/10.1007/s11831-022-09830-8 [viewed 2025-03-02].
Search in Google Scholar Back to article
PETTINGER, Charles B. and NELSON, Barry. Daily planning conversations and AI: Keys for improving construction culture, engagement, planning, and safety. Online. American Journal of Industrial Medicine, vol. 68 (2024), pp. S15-S22. Available at: https://doi.org/10.1002/ajim.23619 [viewed 2025-03-02].
Search in Google Scholar Back to article
PRADHANANGA, Piyush; ELZOMOR, Mohamed and SANTI KASABDJI, Gabriella. Identifying the Challenges to Adopting Robotics in the US Construction Industry. Online. Journal of Construction Engineering and Management, vol. 147 (2021). Available at: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002007 [viewed 2025-03-01].
Search in Google Scholar Back to article
PROJECT MANAGEMENT INSTITUTE PMI. Infinity. Online. Available at: https://www.pmi.org/infinity [viewed 2026-05-12].
Search in Google Scholar Back to article
RABBI, Ahmed Bin Kabir and JEELANI, Idris. AI integration in construction safety: Current state, challenges, and future opportunities in text, vision, and audio based applications. Online. Automation in Construction, vol. 164 (2024). Available at: https://doi.org/10.1016/j.autcon.2024.105443 [viewed 2025-03-01].
Search in Google Scholar Back to article
RADUJKOVIĆ, Mladen, et al. (2012). Planiranje i kontrola projekata. University of Zagreb. ISBN 978-953-6272-46-4
Search in Google Scholar Back to article
SAAD, Syed et al. The Conclusive Role of AI in Industry 4.0 Construction Materials. In: Saad, Sayed et al. AI in Material Science - Revolutionizing Construction in the Age of Industry 4.0. CRC Press, pp. 262-270. eISBN 9781003438489
Search in Google Scholar Back to article
SAWHNEY, Anil, et al. Construction 4.0: Introduction and overview. In: Sawhney, Anil, et al. Construction 4.0 An Innovation Platform for the Built Environment. Routledge Taylor and Francis Group, (2020), pp. 7-13. ISBN 978-0-367-02730-8.
Search in Google Scholar Back to article
SOURAV, Md Sakib Galib; JAVAID, Ahmad and CHENG, Liang. A review of AI in human-machine cooperation: Machine perspective. Online. ACM Transactions on Autonomous and Adaptive Systems, vol. 21 (2026), iss. 2, pp. 1-43. Available at: https://doi.org/10.1145/3774318 [viewed 2026-05-12].
Search in Google Scholar Back to article
TANDOC JR, Edson C.; YAO, Lim Jia; and WU, Shangyuan. Man vs. machine? The impact of algorithm authorship on news credibility. Digital Journalism, vol. 8. (2020), iss. 4; pp. 548-562. Available at: https://doi.org/10.1080/21670811.2020.1762102 [viewed 2026-05-11].
Search in Google Scholar Back to article
U.S. DEPARTMENT OF STATE. Enterprise Artificial Intelligence, Strategy 2024-2025 - Empowering Diplomacy Through Responsible AI. Online. Available at: https://www.state.gov/wp-content/uploads/2023/11/Department-of-State-Enterprise-Artificial-Intelligence-Strategy.pdf [viewed 2025-03-05].
Search in Google Scholar Back to article