METİNDEN GÖRSELE YAPAY ZEKA MODELLERİNİN OFİS AYDINLATMA TASARIMINDAKİ ETKİLİLİĞİ VE İSTEM UYUMUNUN DEĞERLENDİRİLMESİ: KARŞILAŞTIRMALI BİR ANALİZ

Yıl 2025, Cilt: 7 Sayı: 2, 233 - 256, 01.01.2026

Yaren Şekerci , Parla Özkul

Öz

Bu çalışma, iç mekan tasarımında, özellikle ofis aydınlatma tasarımında yapay zeka teknolojisinin yeteneklerini göstermektedir. Aydınlatma, temel bir çevresel faktördür ve bireylerin bir odayı değerlendirmesini anında etkiler. Aydınlatma seviyesi ve CCT tercihi değişkenlik göstermektedir. Aydınlatmada YZ teknolojilerinin verimliliğini araştıran çok az çalışma bulunmaktadır. Çalışma, 7 farklı metinden-görsele YZ modelinin ürettiği 28 sahne ve ofis yapılı çevresi için aydınlatma tasarımlarını içermektedir. 2 ışık CCT’si (sıcak ve soğuk) ve 2 aydınlatma seviyesi (yüksek ve düşük) kullanılarak dört istem üretilmiştir. Bu çalışma, çeşitli YZ sistemlerinin önceden tanımlanmış aydınlatma istemlerini uygulamadaki doğruluk ve etkililiğini karşılaştırmakta ve değerlendirmektedir. Bu karşılaştırmalı analiz, güncel YZ teknolojilerinin iç mekan tasarımındaki, özellikle ofis aydınlatma tasarımındaki potansiyel uygulamalarına dair değerli iç görüler sunmaktadır. Araştırma sonuçları, en verimli ofis aydınlatma tasarım modellerinin DALL-E ve MidJourney olduğunu, Craiyon’un ise düzenli olarak daha düşük performans gösterdiğini ortaya koymaktadır.

Anahtar Kelimeler

Yapay Zeka , Metinden Görsele , Ofis Aydınlatma Tasarımı , Aydınlatma Düzeyi , Bağıl Renk Sıcaklığı (CCT)

EVALUATING THE EFFECTIVENESS AND PROMPT ALIGNMENT OF TEXT-TO-IMAGE AI MODELS IN OFFICE LIGHTING DESIGN: A COMPARATIVE ANALYSIS

Öz

This study demonstrates the capabilities of artificial intelligence technology in interior design, particularly in office lighting design. Lighting is an essential environmental factor and instantly affects how individuals evaluate a room. Preference for lighting level and CCT varies. A little research has been found to investigate the efficiency of AI technologies in lighting. The study involved 28 scenes and lighting designs for an office-built environment generated by 7 distinct AI text-to-image models. 2 light CCTs (warm and cool) and 2 illuminance levels (high and low) were used to produce four prompts. This study compares and assesses various AI systems' accuracy and efficacy in applying predefined lighting prompts. This comparative analysis provides valuable insight into the potential applications of current AI technologies in interior design, particularly in office lighting design. The research results indicate that the most efficient office lighting design models are DALL-E and Midjourney, whereas Craiyon regularly performs lower.

Anahtar Kelimeler

Artificial Intelligence , Text-to-image , Office Lighting Design , Illuminance , Correlated Color Temperature (CCT)

Etik Beyan

Bu çalışma, bilimsel araştırma ve yayın etiği kurallarına uygun olarak yürütülmüştür. Çalışma kapsamında herhangi bir katılımcı yer almamaktadır. Araştırma sürecinde intihal, çarpıtma, sahtecilik, haksız yazarlık gibi etik dışı herhangi bir davranışta bulunulmamıştır. Kullanılan tüm kaynaklara uygun biçimde atıf yapılmıştır.

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