TY - JOUR T1 - Integrating Artificial Intelligence in Interior Design Education: Concept Development TT - Yapay Zekayı İç Mimarlık Eğitimine Entegre Etmek: Konsept Geliştirme AU - Koyuncu, Ferhat AU - Kahraman, Mehmet Uğur AU - Şekerci, Yaren AU - Develier, Müge PY - 2024 DA - March Y2 - 2024 DO - 10.53710/jcode.1418783 JF - Journal of Computational Design JO - JCoDe PB - İstanbul Technical University WT - DergiPark SN - 2687-4318 SP - 31 EP - 60 VL - 5 IS - 1 LA - en AB - This article aims to explore the integration of artificial intelligence (AI) as a design tool in interior design education. The research examines the students' interior design studio project outcomes over the usage of AI in creating conceptual images, and the implementation of the AI-created concept to the overall space. In the research, students' projects are divided into two groups of 5 according to sufficient or insufficient prompts for the "AI generated" conceptual images. Barnard's (1992) CAIDC (Consensual Assessment of Interior Design Creativity) scale was used for the assessment. Mann-Whitney U Test was conducted for the results. We understand that there is no significant difference between writing sufficient or insufficient prompts in the concept development phase of interior design projects according to the Barnard (1992)’s design merits. It has been confirmed that the main factor that influences this regard is the need for an appropriate "concept analysis" to adapt the concept generated with AI to the specified project spaces. KW - Artificial Intelligence KW - Concept Development KW - Design Communication KW - Design Process KW - Interior Design. N2 - Bu makale, iç mimarlık eğitiminde bir tasarım aracı olarak yapay zekanın (AI)entegrasyonunu keşfetmeyi amaçlamaktadır. Araştırma, öğrencilerin mekantasarım stüdyosu proje çıktılarını, kavramsal görüntülerin oluşturulmasında yapayzeka kullanımı ve yapay zeka tarafından oluşturulan konseptin genel alanauygulanması üzerinden incelemektedir. Araştırmada, öğrencilerin projeleri "YapayZeka tarafından oluşturulan" kavramsal görseller için yeterli veya yetersiz istemleregöre beşer kişilik iki gruba ayrılmıştır. Değerlendirme için Barnard'ın (1992) CAIDC(Consensual Assessment of Interior Design Creativity) ölçeği kullanıldı. Sonuçlar içinMann-Whitney U Testi yapılmıştır. Barnard'ın (1992) tasarım değerlerine göre, içmimari projelerinin konsept geliştirme aşamasında yeterli veya yetersiz bilgi istemiyazmak arasında önemli bir fark olmadığını anlıyoruz. Bu konuda etkili olan anafaktörün, yapay zeka ile oluşturulan konsepti belirlenen proje alanlarına uyarlamakiçin uygun bir "kavram analizi" ihtiyacı olduğu teyit edilmiştir. Çalışma, özelliklebelirli ipuçlarına dayalı mekansal kavram resimleri oluşturmada AI araçlarının içmimarların yerine geçmek yerine yardımcılar olarak hizmet ettiğini, tasarımcıyorumlama ve uyarlama becerilerinin önemini vurgulayarak sonuçlanmıştır. Ayrıca,iç mimarlık eğitimine AI'nin entegrasyonunu önererek öğrencilere temel 21. yüzyılbecerilerini kazandırma ihtiyacını vurgularken, gelecekteki araştırmaların hibrit AImetodolojilerini ve AI'nin meslekteki evrilen rolünü keşfetmesi gerektiğini önesürmektedir. CR - Aggarwal, K., Mijwil, M. M., Sonia, Al-Misterahi, A., Alamori, S., Gök, N., Alaabdin, A. M. Z., Abdulrhman, A. H. (2022). Has the future started? The current growth of artificial intelligence, machine learning, and deep learning. Iraqi Journal for Computer Science and Mathematics, 3(1), 115-123. https://doi.org/10.52866/ijcsm.2022.01.01.013 CR - Allen, P. S., Jones, L. M. & Stimpson, M. F. (2004). Beginnings of Interior Environments. NJ: Pearson. CR - Amabile, T. M. (1982). 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UR - https://doi.org/10.53710/jcode.1418783 L1 - https://dergipark.org.tr/en/download/article-file/3656240 ER -