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Journals / Artificial Intelligence Theory and Applications / 2026 / Volume: 6 Issue: 1

Automated Recognition and Analysis of Biophilic Design Elements Using AI: An Interdisciplinary Approach in Architecture

Çiğdem Belgin Dikmen(YOZGAT BOZOK UNIVERSITY, FACULTY OF ENGINEERING-ARCHITECTURE)0000-0001-5975-1552
Esma Uzunhisarcıklı(YOZGAT BOZOK ÜNİVERSİTESİ, MÜHENDİSLİK-MİMARLIK FAKÜLTESİ)0000-0002-4472-7047
Mücella Özbay Karakuş(İZMİR BAKIRÇAY ÜNİVERSİTESİ)0000-0003-0599-8802
Eren Kirmizi(YOZGAT BOZOK ÜNİVERSİTESİ, MÜHENDİSLİK-MİMARLIK FAKÜLTESİ)0009-0008-6397-5012
Pages
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Publication Date
2026-05-03
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The study’s outcomes reveal that biophilic design principles can be quantitatively assessed and automated, unlocking new opportunities for their integration in architectural, urban, and sustainable design contexts.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In today’s architectural and urban design practices, the significance of biophilic design approaches is increasingly being recognized.
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Key Findings & Data:Transfer learning techniques were employed to retrain the YOLO model on this curated dataset.
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Conclusion & Impact:The study’s outcomes reveal that biophilic design principles can be quantitatively assessed and automated, unlocking new opportunities for their integration in architectural, urban, and sustainable design contexts.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Biophilic Design · YOLO Algorithm · Image Processing

Abstract

In today’s architectural and urban design practices, the significance of biophilic design approaches is increasingly being recognized. Incorporating elements such as daylight, vegetation, water components, and organic materials has been shown to promote physical and psychological well-being. Despite their benefits, the implementation of these biophilic components is frequently carried out through manual methods, which are often labor-intensive and prone to subjective interpretation. This research proposes an automated approach for identifying and spatially analyzing biophilic features by adapting and fine-tuning the YOLO (You Only Look Once) object detection algorithm for this specific application. Bridging the fields of architecture and artificial intelligence, the developed system provides a rapid, precise, and scalable means of evaluating biophilic design features. Within the scope of this study, a detailed visual dataset was compiled, with biophilic attributes systematically labeled and categorized. Transfer learning techniques were employed to retrain the YOLO model on this curated dataset. The resulting model not only identifies missing or underrepresented biophilic components but also generates design enhancement suggestions aimed at promoting more sustainable and user-centered built environments. To ensure practical usability, the model was integrated into a web-based decision support platform, enabling users to assess and refine biophilic strategies in their design projects. The study’s outcomes reveal that biophilic design principles can be quantitatively assessed and automated, unlocking new opportunities for their integration in architectural, urban, and sustainable design contexts.

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Cite This Article

Dikmen, Ç. B., Uzunhisarcıklı, E., Karakuş, M. Ö., Kirmizi, E. (2026). Automated Recognition and Analysis of Biophilic Design Elements Using AI: An Interdisciplinary Approach in Architecture. Artificial Intelligence Theory and Applications, Volume: 6 Issue: 1. https://ajindex.com/articles/1609588

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