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

Çiğdem Belgin Dikmen; Esma Uzunhisarcıklı; Mücella Özbay Karakuş; Eren Kirmizi

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

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.

Keywords

References

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Details

Primary Language

English

Subjects

Image Processing, Affective Computing, Spatial Data and Computing Applications

Journal Section

Research Article

Authors

Çiğdem Belgin Dikmen
0000-0001-5975-1552
Türkiye

Esma Uzunhisarcıklı
0000-0002-4472-7047
Türkiye

Mücella Özbay Karakuş ^*
0000-0003-0599-8802
Türkiye

Eren Kirmizi
0009-0008-6397-5012
Türkiye

Publication Date

May 3, 2026

Submission Date

September 19, 2025

Acceptance Date

March 2, 2026

Published in Issue

Year 2026 Volume: 6 Number: 1

IZ

https://izlik.org/JA37HP23CC

Cite

RIS / Bibtex

APA

Dikmen, Ç. B., Uzunhisarcıklı, E., Özbay Karakuş, M., & Kirmizi, E. (2026). Automated Recognition and Analysis of Biophilic Design Elements Using AI: An Interdisciplinary Approach in Architecture. Artificial Intelligence Theory and Applications, 6(1), 33-43. https://izlik.org/JA37HP23CC

AMA

1.Dikmen ÇB, Uzunhisarcıklı E, Özbay Karakuş M, Kirmizi E. Automated Recognition and Analysis of Biophilic Design Elements Using AI: An Interdisciplinary Approach in Architecture. AITA. 2026;6(1):33-43. https://izlik.org/JA37HP23CC

Chicago

Dikmen, Çiğdem Belgin, Esma Uzunhisarcıklı, Mücella Özbay Karakuş, and Eren Kirmizi. 2026. “Automated Recognition and Analysis of Biophilic Design Elements Using AI: An Interdisciplinary Approach in Architecture”. Artificial Intelligence Theory and Applications 6 (1): 33-43. https://izlik.org/JA37HP23CC.

EndNote

Dikmen ÇB, Uzunhisarcıklı E, Özbay Karakuş M, Kirmizi E (May 1, 2026) Automated Recognition and Analysis of Biophilic Design Elements Using AI: An Interdisciplinary Approach in Architecture. Artificial Intelligence Theory and Applications 6 1 33–43.

IEEE

[1]Ç. B. Dikmen, E. Uzunhisarcıklı, M. Özbay Karakuş, and E. Kirmizi, “Automated Recognition and Analysis of Biophilic Design Elements Using AI: An Interdisciplinary Approach in Architecture”, AITA, vol. 6, no. 1, pp. 33–43, May 2026, [Online]. Available: https://izlik.org/JA37HP23CC

ISNAD

Dikmen, Çiğdem Belgin - Uzunhisarcıklı, Esma - Özbay Karakuş, Mücella - Kirmizi, Eren. “Automated Recognition and Analysis of Biophilic Design Elements Using AI: An Interdisciplinary Approach in Architecture”. Artificial Intelligence Theory and Applications 6/1 (May 1, 2026): 33-43. https://izlik.org/JA37HP23CC.

JAMA

1.Dikmen ÇB, Uzunhisarcıklı E, Özbay Karakuş M, Kirmizi E. Automated Recognition and Analysis of Biophilic Design Elements Using AI: An Interdisciplinary Approach in Architecture. AITA. 2026;6:33–43.

MLA

Dikmen, Çiğdem Belgin, et al. “Automated Recognition and Analysis of Biophilic Design Elements Using AI: An Interdisciplinary Approach in Architecture”. Artificial Intelligence Theory and Applications, vol. 6, no. 1, May 2026, pp. 33-43, https://izlik.org/JA37HP23CC.

Vancouver

1.Çiğdem Belgin Dikmen, Esma Uzunhisarcıklı, Mücella Özbay Karakuş, Eren Kirmizi. Automated Recognition and Analysis of Biophilic Design Elements Using AI: An Interdisciplinary Approach in Architecture. AITA [Internet]. 2026 May 1;6(1):33-4. Available from: https://izlik.org/JA37HP23CC