Yapay Zekânın İç Mekân Tasarımına Entegrasyonu: Paylaşımlı Akademik Çalışma Alanlarında Kullanıcı Deneyimi Değerlendirmesi

Öz

Bu çalışma, yapay zekâ (YZ) destekli tasarım araçlarının, iç mimarlıkta kullanıcı deneyimine dayalı etkilerini değerlendirmeyi amaçlamaktadır. Araştırma, Antalya Bilim Üniversitesi İç Mimarlık ve Çevre Tasarımı Bölümü’ndeki iki farklı akademik ofis senaryosunu kapsamaktadır. Öncelikle, kullanıcılarla yapılan açık uçlu ön anketlerle mekânsal ihtiyaçlar belirlenmiş; ardından DALL·E kullanılarak bu ihtiyaçlara yanıt veren YZ temelli tasarım görselleri üretilmiştir. Son aşamada, katılımcılar önerilen tasarımları Likert tipi ölçekler ve açık uçlu sorularla değerlendirmiştir. Elde edilen veriler analiz edilmiş; nicel veriler frekans ve ortalamalarla, nitel veriler ise tematik içerik analiziyle yorumlanmıştır. Bulgular, YZ'nin estetik ve aydınlatma gibi unsurlarda yüksek kullanıcı memnuniyeti sağladığını; ancak mahremiyet, esneklik ve ergonomi gibi kullanıcı merkezli tasarım öğelerinde yetersiz kaldığını ortaya koymaktadır. Bu bağlamda çalışma, YZ destekli tasarımların insan-merkezli tasarım anlayışıyla ne ölçüde bütünleşebileceğine dair önemli bulgular sunmaktadır.

Anahtar Kelimeler

• Akademik Ofis
• İç Mimarlık
• Kullanıcı Deneyimi
• Tasarım Değerlendirmesi
• Yapay Zeka

Integrating Ai Into Interior Design: User Experience Evaluation In Shared Academic Workspaces

Öz

This study aims to evaluate the impact of artificial intelligence (AI)-assisted design tools on user experience in interior architecture. The research focuses on two academic office scenarios within the Department of Interior Architecture and Environmental Design at Antalya Bilim University. Initially, user needs were identified through open-ended preliminary surveys. These needs informed the generation of spatial visuals using DALL·E. In the final stage, participants assessed the AI-generated designs using Likert-scale and open-ended questions. Data were analyzed; quantitative results were examined through descriptive statistics, and qualitative responses were evaluated through thematic content analysis. Findings reveal high user satisfaction in aspects like aesthetics and lighting, while identifying deficiencies in privacy, flexibility, and ergonomics. The study contributes to understanding how AI-supported design integrates with human-centered approaches in interior environments.

Anahtar Kelimeler

• Academic Office
• Artificial İntelligence
• Design Evaluation
• İnterior Design
• User Experience

Kaynakça

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