Volume 15, Issue 2 (2025)
Naqshejahan 2025, 15(2): 17-36 |
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Taheri P, Rasoolzadeh M. The Role of Agent-Based Modelling in Enhancing the Efficiency of AI Tools in Interior Architecture with an Emphasis on the Concept of a Healthy Building. Naqshejahan 2025; 15 (2) :17-36
URL: http://bsnt.modares.ac.ir/article-2-80126-en.html
URL: http://bsnt.modares.ac.ir/article-2-80126-en.html
1- Master Student of Department of Urban Design, Department of Urban Planning, College of Architecture and Planning, Ball State University, USA , paria.taheri@bsu.edu
2- Postdoctoral Researcher, Tarbiat Modares University, Tehran, Iran
2- Postdoctoral Researcher, Tarbiat Modares University, Tehran, Iran
Abstract: (47 Views)
Aims: The development of AI tools in interior architecture has brought both opportunities and challenges. The primary objective of this research is to highlight the weaknesses and shortcomings in the professional application of artificial intelligence-based tools in interior architecture. The second objective is to introduce and explain the role of agent-based systems in enhancing the efficiency of artificial intelligence tools in interior architecture.
Methods: This research employs a descriptive-analytical method as its primary approach. In the descriptive phase, data were collected from existing sources to examine the impact of artificial intelligence on the interior design process. Subsequently, a questionnaire was designed to gather designers' opinions regarding the influence of artificial intelligence on interior architecture and the role of designers. The collected data were then statistically analyzed using SPSS.
Findings: More than 80% of the surveyed interior architects were familiar with artificial intelligence tools, with most identifying Midjourney as a key tool that reduces time and increases efficiency. The most significant challenges identified pertain to the healthy building domain, particularly in relation to indoor air quality, environmentally friendly materials, and the comfort and ergonomics of spaces.
Conclusion: The qualitative findings of this research indicate that agent-based systems play a crucial role in enhancing the efficiency of artificial intelligence tools in the interior architecture process. This is particularly important in the healthy building domain, as it provides a comprehensive model for understanding the interaction between Bauphysik, Bauchemie, Baubiologie, environmentally friendly materials, and occupant health.
Methods: This research employs a descriptive-analytical method as its primary approach. In the descriptive phase, data were collected from existing sources to examine the impact of artificial intelligence on the interior design process. Subsequently, a questionnaire was designed to gather designers' opinions regarding the influence of artificial intelligence on interior architecture and the role of designers. The collected data were then statistically analyzed using SPSS.
Findings: More than 80% of the surveyed interior architects were familiar with artificial intelligence tools, with most identifying Midjourney as a key tool that reduces time and increases efficiency. The most significant challenges identified pertain to the healthy building domain, particularly in relation to indoor air quality, environmentally friendly materials, and the comfort and ergonomics of spaces.
Conclusion: The qualitative findings of this research indicate that agent-based systems play a crucial role in enhancing the efficiency of artificial intelligence tools in the interior architecture process. This is particularly important in the healthy building domain, as it provides a comprehensive model for understanding the interaction between Bauphysik, Bauchemie, Baubiologie, environmentally friendly materials, and occupant health.
Keywords: Bauphysik – building physics, Bauchemie - building chemistry, Baubiologie - building biology, occupant health, biocomputing, bauchemie, agent-based design, climate-friendly building, AI (artificial intelligence)
Article Type: Original Research |
Subject:
Highperformance Architecture
Received: 2025/12/29 | Accepted: 2025/03/26 | Published: 2025/07/1
Received: 2025/12/29 | Accepted: 2025/03/26 | Published: 2025/07/1
References
1. Hussein GK. Improving Design Efficiency Using Artificial Intelligence: A Study on the Role of Artificial Intelligence in Streamlining the Interior Design Process. International Design Journal. 2023 Sep 1;13(5):255-70. Available at: https://journals.ekb.eg/article_311928.html [Article]
2. Hamdy Y. Application of artificial intelligence in the development of Interior Design Operations Management. Journal of Design Sciences and Applied Arts. 2022 Jun 1;3(2):239-45. https://dx.doi.org/10.21608/idj.2023.222943.1082 [Article]
3. Yanhua L. Research on the Application of Artificial Intelligence in Interior Design. International Journal of Science and Engineering Applications. 2024. Available at: https://ijsea.com/archive/volume13/issue7/IJSEA13071007.pdf [Article]
4. Taheri P, Rasoolzadeh M. Meta-analysis of artificial intelligence in interior architecture: A new chapter for healthy building. Naqshejahan - Basic Studies and New Technologies of Architecture and Planning. 2024 Aug 10; 14(2):139-158. Available at: https://bsnt.modares.ac.ir/article-2-76756-en.html [Article]
5. Rasoolzadeh M, Moshari M. Prioritizing for Healthy Urban Planning: Interaction of Modern Chemistry and Green Material-based Computation. Naqshejahan - Basic Studies and New Technologies of Architecture and Planning. 2021 May 10;11(1):94-105. [Persian] https://dorl.net/dor/20.1001.1.23224991.1400.11.1.7.0. Available at: https://bsnt.modares.ac.ir/article-2-49429-en.html [Article]
6. Rasoolzadeh M, Moshari M. Designerly approach to occupant health with the interaction of building material selection and healthy environment. Naqshejahan - Basic Studies and New Technologies of Architecture and Planning, 2023;13(3):129-148. Available at: http://bsnt.modares.ac.ir/article-2-73856-en.html [Article]
7. Shams G, Rasoolzadeh M. Bauchemie: Environmental Perspective to Well-Building and Occupant Health. Naqshejahan - Basic Studies and New Technologies of Architecture and Planning. 2023 Jan 10; 12(4):51-69. https://dorl.net/dor/20.1001.1.23224991.1401.12.4.2.8. Available at: https://bsnt.modares.ac.ir/article-2-65610-en.html [Article]
8. Arianejad P, Mozafar F, Khanmohammadi M, Saleh SedgPoor B. Simulation software in interior architecture education with competency-based approaches from experts’ perspectives. Technology of Education Journal (TEJ), 2021; 16(1): 119-134. doi: 10.22061/tej.2021.7688.2564 Available at: https://jte.sru.ac.ir/article_1651.html?lang=en [Article]
9. Zaccolo S. Artificial Intelligence as a Creativity Companion. 13 Jan 2021. Available at: https://openresearch.ocadu.ca/id/eprint/3167/ [Article]
10. Pylypchuk OD, Polubok AP, Avdieieva NY. Using artificial intelligence to create a practical tool for interior design incorporating artwork. Publishing House “Baltija Publishing”. 2022 Aug 29. https://doi.org/10.30525/978-9934-26-230-2-2 [Article]
11. Gong M. Application and Practice of Artificial Intelligence Technology in Interior Design. Applied Mathematics and Nonlinear Sciences. 2023;8(1):3077-94. Available at: https://sciendo.com/article/10.2478/amns.2023.1.00020 [Article]
12. Almajaibel MK. How far does Artificial Intelligence (AI) evolve in the pursuit of Interior design as alternatives to traditional tools and their impact on the designer's function?. International Design Journal. 2024 Jan 1;14(1):185-203. https://dx.doi.org/10.21608/idj.2024.329269 [Article] [DOI]
13. Goodarzi P, Ansari M, Mahdavinejad M, Russo A, Haghighatbin M, Rahimian FP. Morphological analysis of historical landscapes based on cultural DNA approach. Digital Applications in Archaeology and Cultural Heritage. 2023 Sep 1;30:e00277. https://doi.org/10.1016/j.daach.2023.e00277 [Article] [DOI]
14. Irbite A, Strode A. Artificial intelligence vs designer: The impact of artificial intelligence on design practice. InSOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 2021 May 28 (Vol. 4, pp. 539-549). Available at: https://journals23.rta.lv/index.php/SIE/article/view/6310 [Article]
15. Samuel A, Mahanta NR, Vitug AC. Computational technology and artificial intelligence (AI) revolutionizing interior design graphics and modelling. In2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) 2022 Oct 3 (pp. 1-6). IEEE. Available at: https://ieeexplore.ieee.org/abstract/document/9984232 [Article]
16. Fakhr BV, Mahdavinejad M, Rahbar M, Dabaj B. Design Optimization of the Skylight for Daylighting and Energy Performance Using NSGA-II. Journal of Daylighting. 2023 May 23;10(1):72-86. https://doi.org/10.15627/jd.2023.6 [Article] [DOI]
17. Rahbar M, Mahdavinejad M, Bemanian M, Davaie Markazi AH, Hovestadt L. Generating Synthetic Space Allocation Probability Layouts Based on Trained Conditional-GANs. Applied Artificial Intelligence. 2019 Jul 3;33(8):689-705. https://doi.org/10.1080/08839514.2019.1592919 [Article] [DOI]
18. Rahbar M, Mahdavinejad M, Bemanian M, Davaie-Markazi A. Generating space layout heat maps with cGAN algorithms in artificial intelligence. Armanshahr Architecture & Urban Development. 2020;13(32):131-142. https://doi.org/10.22034/aaud.2020.154406.1717 [Article] [DOI]
19. Rahbar M, Mahdavinejad, M, Bemanian, M, Davaie-Markazi, A. Artificial neural network for outlining and predicting environmental sustainable parameters. Journal of Sustainable Architecture and Urban Design. 2020;7(2):169-182. https://doi.org/10.22061/jsaud.2019.4501.1333 [Article] [DOI]
20. Rahbar M, Mahdavinejad M, Markazi A.H.D., Bemanian M. Architectural layout design through deep learning and agent-based modeling: A hybrid approach. Journal of Building Engineering. 2022 April15; 47, 103822. https://doi.org/10.1016/j.jobe.2021.103822 [Article] [DOI]
21. Racec E, Budulan S, Vellido A. Computational Intelligence in Interior Design: State-of-the-Art and Outlook. InArtificial Intelligence Research and Development 2016 (pp. 108-113). IOS Press. Available at: https://ebooks.iospress.nl/volumearticle/45318 [Article]
22. Farag SN. The future of interior design industry in the light of Artificial intelligence spread. Available at: https://mjaf.journals.ekb.eg/article_175043_de2c5ae110efbd63ef8c5bfb520d96e6.pdf?lang=en [Article]
23. Mahendarto T. From Artificial Intelligence to Artificial Consciousness: An Interior Design Implication. Journal of Artificial Intelligence in Architecture. 2023 Feb 26;2(1):41-52. https://doi.org/10.24002/jarina.v2i1.6627 [Article] [DOI]
24. Goodarzi P, Ansari M, Rahimian FP, Mahdavinejad M, Park C. Incorporating sparse model machine learning in designing cultural heritage landscapes. Automation in Construction. 2023 Nov 1;155:105058. https://doi.org/10.1016/j.autcon.2023.105058 [Article] [DOI]
25. Goodarzi P, Heidari F, Zolotovsky K, Mahdavinejad M. Cognitive Nests: Nested Data-Driven Decision Support System in Regenerative Design from Biology to Ecology. 3D Printing and Additive Manufacturing. 2025 Feb 6. https://doi.org/10.1089/3dp.2023.0331 [Article] [DOI]
26. Heidari F, Mahdavinejad M, Werner LC, Roohabadi M, Sarmadi H. Biocomputational Architecture Based on Particle Physics. Front. Energy Res. 2021 July 08;9:620127. https://doi.org/10.3389/fenrg.2021.620127 [Article] [DOI]
27. Heidari F, Mahdavinejad M, Zolotovsky K, Bemanian M. Data-driven bio-integrated design method encoded by biocomputational real-time feedback loop and deep semi-supervised learning (DSSL). Journal of Building Engineering. 2024 Dec 1;98:110923. https://doi.org/10.1016/j.jobe.2024.110923 [Article] [DOI]
28. Heidarzadeh S, Mahdavinejad M, Habib F. External shading and its effect on the energy efficiency of Tehran's office buildings. Environmental Progress & Sustainable Energy. 2023 May 17:e14185. https://doi.org/10.1002/ep.14185 [Article] [DOI]
29. Talaei M, Mahdavinejad M, Azari R, Haghighi HM, Atashdast A. Thermal and energy performance of a user-responsive microalgae bioreactive façade for climate adaptability. Sustainable Energy Technologies and Assessments. 2022 Aug 1;52:101894. https://doi.org/10.1016/j.seta.2021.101894 [Article] [DOI]
30. Talaei M, Mahdavinejad M, Azari R, Prieto A, Sangin H. Multi-objective optimization of building-integrated microalgae photobioreactors for energy and daylighting performance. Journal of Building Engineering. 2021 Jun 5:102832. https://doi.org/10.1016/j.jobe.2021.102832 [Article] [DOI]
31. Talaei M, Mahdavinejad M, Azari R. Thermal and energy performance of algae bioreactive façades: A review. Journal of Building Engineering. 2020 Mar 1;28:101011. https://doi.org/10.1016/j.jobe.2019.101011 [Article] [DOI]
32. Talaei M, Mahdavinejad M, Zarkesh A, Haghighi HM. A review on interaction of innovative building envelope technologies and solar energy gain. Energy Procedia, 2017 Dec 1;141:24-8. https://doi.org/10.1016/j.egypro.2017.11.006
33. Talaei M, Mahdavinejad M. Probable cause of damage to the panel of microalgae bioreactor building façade: Hypothetical evaluation. Engineering Failure Analysis. 2019 Jul 1;101:9-21. https://doi.org/10.1016/j.engfailanal.2019.02.060 [Article] [DOI]
34. Haghir, S., Tashakori, L., Rezazadeh, H., Ahmadi, F. Algae Façade for Reducing CO2 Emission and Mitigating Global Warming (Case Study: Tehran Enghelab Street). The Monthly Scientific Journal of Bagh-e Nazar, 2020 Oct 22;17(89):33-44. https://doi.org/10.22034/bagh.2020.188585.4147 [Article] [DOI]
35. Sarmadi H, Mahdavinejad M. A designerly approach to Algae-based large open office curtain wall Façades to integrated visual comfort and daylight efficiency. Solar Energy. 2023 Feb 1;251:350-65. https://doi.org/10.1016/j.solener.2023.01.021 [Article] [DOI]
36. He J. Research and Implementation of Intelligent Interior Design Algorithms Based on Artificial Intelligence and Big Data. In2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC) 2024 Jul 27 (pp. 655-660). IEEE. Available at: https://ieeexplore.ieee.org/abstract/document/10730915?casa_token=R9kD-kgOShsAAAAA:uNxR0a1wD-A5cO8_FszvQj6Gz_s5rbBSKsY6zNQJW_Xpputgh057MT1NIzhpF1eigY6ocBB4 [Article]
37. Diefallah MH. Comprehending how Artificial Intelligence and Human Creativity Work to Benefit the Future of Interior Design; Challenges Risks، Pros and Cons. International Design Journal. 2024 May 1;14(4):397-407. Available at: https://idj.journals.ekb.eg/article_358293_74efe46b89b35f22191e6d30dff4d64a.pdf [Article]
38. Pylypchuk OD, Polubok AP, Avdieieva NY. Using artificial intelligence to create a practical tool for interior design incorporating artwork. Publishing House “Baltija Publishing”. 2022 Aug 29. Available at: http://www.baltijapublishing.lv/omp/index.php/bp/catalog/download/244/6802/14185-1 [Article]
39. Gong M. Application and Practice of Artificial Intelligence Technology in Interior Design. Applied Mathematics and Nonlinear Sciences. 2023;8(1):3077-94. Available at: https://sciendo.com/article/10.2478/amns.2023.1.00020 [Article]
40. Dezfuli RR, Bazazzadeh H, Taban M, Mahdavinejad M. Optimizing stack ventilation in low and medium-rise residential buildings in hot and semi-humid climate. Case Studies in Thermal Engineering. 2023 Oct 28:103555. https://doi.org/10.1016/j.csite.2023.103555 [Article] [DOI]
41. Dezfuli RR, Mehrakizadeh M, Najar BS, Bazazzadeh H, Mahdavinejad M. Geometric investigation of entrance proportions of houses from the Qajar to the beginning of the early Pahlavi in Dezful City (1789–1979). Frontiers of Architectural Research. 2024 Feb 1;13(1):57-78. https://doi.org/10.1016/j.foar.2023.09.007 [Article] [DOI]
42. Goharian A, Daneshjoo K, Mahdavinejad M, Yeganeh M. Voronoi geometry for building facade to manage direct sunbeams. Journal of Sustainable Architecture and Civil Engineering. 2022 Oct 26;31(2):109-24. https://doi.org/10.5755/j01.sace.31.2.30800 [Article] [DOI]
43. Goharian A, Daneshjoo K, Shaeri J, Mahdavinejad M, Yeganeh M. A designerly approach to daylight efficiency of central light-well; combining manual with NSGA-II algorithm optimization. Energy. 2023 Apr 17:127402. https://doi.org/10.1016/j.energy.2023.127402 [Article] [DOI]
44. Goharian A, Mahdavinejad M, Bemanian M, Daneshjoo K. Designerly optimization of devices (as reflectors) to improve daylight and scrutiny of the light-well’s configuration. Building Simulation. 2021 Oct 9 (pp. 1-24). Tsinghua University Press. https://doi.org/10.1007/s12273-021-0839-y [Article]
45. Goharian A, Mahdavinejad M. A novel approach to multi-apertures and multi-aspects ratio light pipe. Journal of Daylighting. 2020 Sep 16;7(2):186-200. https://doi.org/10.15627/jd.2020.17 [Article] [DOI]
46. Shirzadnia Z, Goharian A, Mahdavinejad M. Designerly approach to skylight configuration based on daylight performance; Toward a novel optimization process. Energy and Buildings. 2023 Mar 11:112970. [Article] [DOI]
47. Goharian A, Mahdavinejad M, Ghazazani S, Hosseini M, Zamani Z, Yavari H, Ghafarpoor F, Shoghi F. Designing Adaptability Strategy to a Novel Kinetic Adaptive Façade (NKAF); Toward a Pioneering Method in Dynamic-objects Daylight Simulation (Post-Processing). Journal of Daylighting. 2025 Feb 8;12:69-90. [Article] [DOI]
48. Kahraman MU, Şekerci Y, Develier M, Koyuncu F. Integrating artificial intelligence in interior design education: concept development. Journal of Computational Design. 2024;5(1):31-60. https://doi.org/10.53710/jcode.1418783 [Article] [DOI]
49. Xu Y, Yu T. Visual Performance of Psychological Factors in Interior Design Under the Background of Artificial Intelligence. Frontiers in psychology. 2022 Jul 28;13:941196. https://doi.org/10.3389/fpsyg.2022.941196 [Article] [DOI]
50. Wang J. Application of traditional cultural elements in modern interior design in the era of artificial intelligence. Applied Mathematics and Nonlinear Sciences. 2023. Available at: https://sciendo.com/article/10.2478/amns.2023.2.01197 [Article]
51. Zhang Y, Wang J. Artistic sense of interior design and space planning based on human machine intelligent interaction. Intelligent Decision Technologies. 2024 Aug;18(3):1783-96. https://doi.org/10.3233/IDT-240615 [Article] [DOI]
52. Zheng S. An evaluation system for interior design solutions based on artificial intelligence processing technology. In7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering 2022 Oct 19 (Vol. 12294, pp. 779-784). SPIE. https://doi.org/10.1117/12.2639884 [Article] [DOI]
53. Wu S, Han S. System evaluation of artificial intelligence and virtual reality technology in the interactive design of interior decoration. Applied Sciences. 2023 May 20;13(10):6272. https://doi.org/10.3390/app13106272 [Article] [DOI]
54. Mahdavinejad M, Shaeri J, Nezami A, Goharian A. Comparing universal thermal climate index (UTCI) with selected thermal indices to evaluate outdoor thermal comfort in traditional courtyards with BWh climate. Urban Climate. 2024 Mar 1;54:101839. https://doi.org/10.1016/j.uclim.2024.101839 [Article] [DOI]
55. Shaeri J, Mahdavinejad M, Pourghasemian MH. A new design to create natural ventilation in buildings: Wind chimney. Journal of Building Engineering. 2022 Aug 22:105041. https://doi.org/10.1016/j.jobe.2022.105041 [Article] [DOI]
56. Shaeri J, Mahdavinejad M, Vakilinejad R, Bazazzadeh H, Monfared M. Effects of sea-breeze natural ventilation on thermal comfort in low-rise buildings with diverse atrium roof shapes in BWh regions. Case Studies in Thermal Engineering. 2023 Jan 1;41:102638. https://doi.org/10.1016/j.csite.2022.102638 [Article] [DOI]
57. Shaeri J, Mahdavinejad M. Prediction Indoor Thermal Comfort in Traditional Houses of Shiraz with PMV/PPD model. International Journal of Ambient Energy. 2022 Dec 31;43(1):8316-34. https://doi.org/10.1080/01430750.2022.2092774 [Article] [DOI]
58. Torabi M, Mahdavinejad M. Past and Future Trends on the Effects of Occupant Behaviour on Building Energy Consumption. J. Sustain. Archit. Civ. Eng. 2021 Oct 27;29(2) 83-101. https://doi.org/10.5755/j01.sace.29.2.28576 [Article] [DOI]
59. Valitabar M. Mohammadjavad M. Henry S. Peiman P. A dynamic vertical shading optimisation to improve view, visual comfort and operational energy. Open House International. 2021 Jul 9;46(3):401-415. https://doi.org/10.1108/OHI-02-2021-0031 Available: https://www.emerald.com/insight/content/doi/10.1108/OHI-02-2021-0031/full/html
60. Görkem G, Sönmez E. The Use of Artificial Intelligence in Interior Design Education and Its Future. Interior Architectural Issues-Design, History & Education. 2023 May 15:81. Available at: https://books.google.com.om/books?hl=en&lr=&id=GfbYEAAAQBAJ&oi=fnd&pg=PA81&dq=artificial+intelligence+interior+design&ots=7rmAU401Eg&sig=PZ3EetuwIEiWZ4oO3Q0wnNYYMVo&redir_esc=y#v=onepage&q=artificial%20intelligence%20interior%20design&f=false [Article]
61. Li W, Xue Z, Li J, Wang H. The interior environment design for entrepreneurship education under the virtual reality and artificial intelligence-based learning environment. Frontiers in Psychology. 2022 Nov 9;13:944060. https://doi.org/10.3389/fpsyg.2022.944060 [Article] [DOI]
62. Stieler D, Schwinn T, Leder S, Maierhofer M, Kannenberg F, Menges A. Agent-based modeling and simulation in architecture. Automation in Construction. 2022 Sep 1;141:104426. https://doi.org/10.1016/j.autcon.2022.104426 [Article] [DOI]
63. Al-Dayan ZAR. Stages of Design. University of Babylon / College of Fine Arts / Department of Design Public lecture prepared by the course teacher Eng. Ziad Awda Rabah, Available at: https://www.uobabylon.edu.iq/eprints/publication_5_8117_6100.pdf [Article]
64. Hanna MG, Pantanowitz L, Dash R, Harrison JH, Deebajah M, Pantanowitz J, Rashidi HH. Future of Artificial Intelligence (AI)-Machine Learning (ML) Trends in Pathology and Medicine. Modern Pathology. 2025 Jan 4:100705. https://doi.org/10.1016/j.modpat.2025.100705 [Article] [DOI]
65. Shaw JA. The Revised Declaration of Helsinki—Considerations for the future of artificial intelligence in health and medical research. JAMA. 2025 Jan 7;333(1):26-7. Available at: https://jamanetwork.com/journals/jama/fullarticle/2825288 [Article]
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