MOBİLYA TASARIMINDA KAVRAMSAL VERİLERİN YAPAY ZEKA UYGULAMALARI ÖZELİNDE İRDELENMESİ

Abstract

Teknolojinin hızlı gelişimi yapay zekâ ve mobilya tasarımı ilişkisini ön plana çıkarmaktadır. Birçok disiplinde olduğu gibi tasarım disiplininde de kullanılan farklı yapay zekâ araçları bulunmaktadır. Araştırmada en yaygın kullanıma sahip olan; Midjourney, DALL·E ve Leonardo AI araçları seçilerek, bu araçların mobilya varyasyon üretme becerileri çalışma koltuğu tasarımı özelinde değerlendirilmiştir. Araştırma farklı yapay zekâ araçlarında çalışma koltuğu tasarımı için tanımlanan kavramsal verilerin değiştirilmeden farklı yapay zekâ araçlarında kullanımıyla elde edilen tasarım çıktılarının analizine odaklanmaktadır. Tasarım verileri olarak girilen kavramsal ifadelerin farklı yapay zekâ araçları tarafından elde edilen tasarım çıktıları; işlev, kullanıcı profili, biçim/strüktür/malzeme, konfor (ayarlanabilirlik, bel desteği ve kolçak) ve estetik (görsel denge, renk, doku, vb.) unsurlar çerçevesinde irdelenmiştir. Elde edilen bulgular, yapay zekâ teknolojilerinin yalnızca destekleyici değil, aynı zamanda yaratıcı sürecin aktif bir bileşeni olarak konumlandığını ortaya koymaktadır. Bu bağlamda, yapay zekâ araçlarının, kavramsal verilerle ilerleyen geleneksel tasarım süreçlerinde olduğu gibi, yenilikçi çözümler üretmeyi teşvik ettiği ve gelecekte tasarım disiplininin temel bileşenlerinden biri haline geleceği öngörülmektedir.

Keywords

• Mobilya Tasarımı
• Çalışma Koltuğu
• Yapay Zekâ
• Midjourney
• Dall·E
• Leonardo AI

AN EXAMINATION OF CONCEPTUAL DATA IN FURNITURE DESIGN THROUGH ARTIFICIAL INTELLIGENCE APPLICATIONS

Abstract

The rapid development of technology highlights the relationship between artificial intelligence (AI) and furniture design. As in many disciplines, there are different artificial intelligence tools used in the field of design. The study focuses on three widely used AI tools; Midjourney, DALL-E and Leonardo AI, and the ability of these tools to produce furniture variations was evaluated specifically for the context of office chair design. The research examines and compares the design outputs produced by different AI tools using identical conceptual data inputs defined for office chair design. The design outputs obtained by different artificial intelligence tools of the conceptual expressions entered as design data were examined within the framework of function, user profile, form/structure/material, comfort (adjustability, lumbar support and armrests) and aesthetics (visual balance, color, texture, etc.) elements. The findings reveal that artificial intelligence technologies are not only supportive instruments but also positioned as an active component of the creative process. In this context, it is envisaged that artificial intelligence tools encourage the production of innovative solutions, as in traditional design processes that evolve through conceptual data and are anticipated to become one of the fundamental components of the design discipline in the future.

Keywords

• Furniture Design
• Office Chair
• Artificial Intelligence
• Midjourney
• Dall.E
• Leonardo AI

References

1. Anshel, M. H. (2014). Applied health fitness psychology. Human Kinetics.
2. Atilla, Ş. A. (2022). Yapay zekâ teknolojisi ve uygulamaları. Dikeyeksen Yayın Dağıtım.
3. Bridger, R. S. (2003). Introduction to Ergonomics (2nd ed.). CRC Press.
4. Campo, D. M., & Leach, N. (2022). Architecture and artificial intelligence. Architectural Design (AD), 92(3), 7–xx. Wiley.
5. Ching, F. D. K. (2014). Building structures illustrated: Patterns, systems, and design. John Wiley & Sons.
6. Dul, J., & Weerdmeester, B. (2008). Ergonomics for Beginners: A Quick Reference Guide (3rd ed.). CRC Press.
7. Elrawy, S.& Wagdy, B. (2025). Perceptions of generative AI in the architectural profession in Egypt: opportunities, threats, concerns for the future, and steps to improve. AI & Society https://link.springer.com/article/10.1007/s00146-025-02193-1
8. Franzen, C. (2023, Eylul 20). OpenAI unveils DALL-E 3 with support for text and typography. venturebeat. https://venturebeat.com/ai/openai-unveils-dall-e-3-with-support-for-text-and-typography/

9. Goodwin, K. (2009). Designing for the digital age: How to create human-centered products and services. Wiley Publishing.
10. Harvard Business Review Press. (2020). Dijital dönüşüm: Yapay zekâ. Optimist Yayın.
11. Holland, O. (2017). How artificial intelligence and robots can change your living spaces. CNN Style. https://edition.cnn.com/style/article/joris-laarman-smithsonian-digital-design/index.html
12. İçözü, T.(2022). IKEA Kreativ: yapay zekâ ve 3D karma gerçeklik destekli tasarım aracı, https://webrazzi.com/2022/06/24/ikea-kreativ-yapay-zeka-ve-3d-karma-gerceklik-destekli-tasarim-araci/
13. Jie, P., Shan, X., Chung, J. (2023). A Comparative Analysis Between and as AI Texture Generation Tools, nternational Journal of Advanced Culture Technology Vol.11 No.4 333-339 (2023)DOI https://doi.org/10.17703/IJACT.2023.11.4.333.
14. Jordahn, S.(2019). Philippe Starck, Kartell and Autodesk unveil "world's first production chair designed with artificial intelligence", https://www.dezeen.com/2019/04/11/ai-chair-philippe-starck-kartell-autodesk-artificial-intelligence-video/
15. Lei, J., Zhang, R., et al. (2025). IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-Art Text-to-Image Models. arXiv. https://arxiv.org/abs/2501.13920
16. Leonardo Ai. (2025). AI Image Generation. https://app.leonardo.ai/ai-generations(Erişim Tarihi:13/04/2025)
17. Li, C., Zhang, T., Du, X., Zhang, Y., & Xie, H. (2024). Generative AI Models for Different Steps in Architectural Design: A literature review ArXiv. https://arxiv.org/abs/2403.xxxx
18. Lidwell, W., Holden, K., & Butler, J. (2010). Universal principles of design (Revised and updated ed.). Rockport Publishers.
19. Meriç, Z. (2012). Kurumsal kimliğin fuar stand tasarımında kavramsal tema (konsept) olarak kullanılması. Yüksek Lisans Tezi, Hacettepe Üniversitesi, Ankara.
20. Midjourney. (2024). Midjourney. https://discord.gg/midjourney (ErişimTarihi:01/02/2024)
21. Norman, D. A. (2004). Emotional design: Why we love (or hate) everyday things. Basic Books
22. Pena, C.& Carballal, A.&Rodríguez-Fern´Andez, N.& Santos, I.& Romero, J. (2021). “ Artificial İntelligence Applied To Conceptual Design. A Review Of İts Use İn Architecture”, www.elsevier.com/locate/autcon, https://doi.org10.1016/j.autcon.2021.103550.
23. Pheasant, S., & Haslegrave, C. M. (2006). Bodyspace: Anthropometry, ergonomics and the design of work (3rd ed.). CRC Press.
24. Ploennigs, J.& Berger, M. (2022). “AI Art in Architecture”, University of Rostock, AI for Sustainable Construction, Justus-v.-Liebig-Weg6, Rostock, 18059, Germany, arXiv:2212.09399v1 [cs.AI] 19 Dec 2022.
25. Rozdolska, J.A. (2022). Artificial İntelligence As Part Of Future Practices İn The Architect’s Work Midjourney Generative Tool As Part Of A Process Of Creating An Architectural Form. DOI: 10.37190/arc220310, 3(71) Faculty of Architecture and Urban, Published in open access. CC BY NC ND license.
26. Salkowitz, R. (2022, August 16). Midjourney Founder David Holz On The Impact Of AI On Art, Imagination And The Creative Economy. Forbes. https://www.forbes.com/sites/robsalkowitz/2022/09/16/midjourney-founder-david-holz-on-the-impact-of-ai-on-art-imagination-and-the-creative-economy/
27. Sanalan, A. (2022). “Yapay Zekâ ve Büyük Veri Teknolojilerinin Mimari Tasarım Sürecindeki Rolü”, Yüksek Lisans Tezi, Mimarlık Anabilim Dalı, Maltepe Üniversitesi İstanbul.
28. Sanders, M. S., & McCormick, E. J. (1993). Human factors in engineering and design (7th ed.). McGraw-Hill.
29. Schmıdt, C.L. (2007). Engıneerıng Desıgn, Isbn 978–0–07–283703–2mhıd 0–07–283703–9 New York, Ny 10020. Copyright © 2009 by The McGraw-Hill Companies, s.20.
30. Thampanichwat, C., Wongvorachan, T., Sirisakdi, L., Chunhajinda, P., Bunyarittikit, S., & Wongmahasiri, R. (2024). Mindful architecture from text-to-image AI perspectives: A case study of DALL E, Midjourney, and Stable Diffusion. School of Architecture, Art and Design, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, cilt, sayfa aralığı. https://doi.org/xxxxx
31. Weiss, S.(2018). The chAIr project – generating a design classic, https://steffen-weiss.design/the-chair-project-generating-a-classic
32. Yıldırım, E. (2023). Comparative analysis of Leonardo AI, Midjourney, and DALL-E: AI's perspective on future cities. International Scientific Journal of Urban Planning and Sustainable Development, 28, 82–96. https://doi.org/10.58225/urbanizm.2023-28-82-96
33. Zhang, L.J., Helander, M.G., Drury, C.G., 1996 Identifying factors of comfort and discomfort in sitting. Human Factors 38, 377e389.