Volume 14, Issue 2 (2024)
Naqshejahan 2024, 14(2): 139-158 |
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Taheri P, Rasoolzadeh M. Meta-analysis of artificial intelligence in interior architecture: A new chapter for healthy building. Naqshejahan 2024; 14 (2) :139-158
URL: http://bsnt.modares.ac.ir/article-2-76756-en.html
URL: http://bsnt.modares.ac.ir/article-2-76756-en.html
1- Master Student of Department of Urban Design, 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: (471 Views)
Aims: AI an emerging phenomenon revolutionized the the interior architecture design process, especially in the post-corona era, when the concept of "healthy building" has become more important. The research aims to show the privileged role of AI in creating interaction between "interior architecture" and the concept of healthy building.
Methods: The methodology of the research is based on meta-analysis based on the theory of master architecture. Meta-analysis or meta-analysis, emphasizing the statistical combination of the results of several studies, covers a large part of the analytical literature in the field of the role of artificial intelligence in interior architecture. Based on the selected research approach, in data extraction, combined methods of machine calculations such as hybrid meta-simulation, clustering, prospective interpretation of variables and extraction of effect size, variance and regression have been used.
Findings: Numerical results and quantitative findings in the review of tools developed in the field of interior architecture show that the most developed tools are related to the initial stages of design, followed by the tools related to the operation stage, and then the related tools. to the final stages of architectural design.
Conclusion: The qualitative results of the research show that the set of tools developed in the field of interior architecture do not have high analytical accuracy, for this reason, it is more logical to use them in the idea generation stage. Also, the tools developed in the second part are related to the field of building chemistry, residents' health, biocomputing, etc.
Methods: The methodology of the research is based on meta-analysis based on the theory of master architecture. Meta-analysis or meta-analysis, emphasizing the statistical combination of the results of several studies, covers a large part of the analytical literature in the field of the role of artificial intelligence in interior architecture. Based on the selected research approach, in data extraction, combined methods of machine calculations such as hybrid meta-simulation, clustering, prospective interpretation of variables and extraction of effect size, variance and regression have been used.
Findings: Numerical results and quantitative findings in the review of tools developed in the field of interior architecture show that the most developed tools are related to the initial stages of design, followed by the tools related to the operation stage, and then the related tools. to the final stages of architectural design.
Conclusion: The qualitative results of the research show that the set of tools developed in the field of interior architecture do not have high analytical accuracy, for this reason, it is more logical to use them in the idea generation stage. Also, the tools developed in the second part are related to the field of building chemistry, residents' health, biocomputing, etc.
Keywords: Integrated design, healthy building, building chemistry, artificial intelligence, highperformance architecture, Healthy building, biocomputing, eco-friendly material
Article Type: Original Research |
Subject:
Pioneer Islamic Iranian Art and Architecture
Received: 2024/05/5 | Accepted: 2024/08/1 | Published: 2024/08/1
Received: 2024/05/5 | Accepted: 2024/08/1 | Published: 2024/08/1
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