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

Yaren Şekerci; Parla Özkul

TR EN

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

Abstract

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.

Keywords

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

Abstract

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.

Keywords

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

Ethical Statement

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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Details

Primary Language

English

Subjects

Artificial Intelligence (Other), Interior Architecture

Journal Section

Research Article

Authors

Yaren Şekerci
0000-0003-4509-6299
Türkiye

Parla Özkul ^*
0000-0003-2153-6624
Türkiye

Publication Date

January 1, 2026

Submission Date

August 22, 2025

Acceptance Date

October 31, 2025

Published in Issue

Year 2025 Volume: 7 Number: 2

IZ

https://izlik.org/JA78NL74EP

APA

Şekerci, Y., & Özkul, P. (2026). EVALUATING THE EFFECTIVENESS AND PROMPT ALIGNMENT OF TEXT-TO-IMAGE AI MODELS IN OFFICE LIGHTING DESIGN: A COMPARATIVE ANALYSIS. ArtGRID - Journal of Architecture Engineering and Fine Arts, 7(2), 233-256. https://izlik.org/JA78NL74EP

AMA

1.Şekerci Y, Özkul P. EVALUATING THE EFFECTIVENESS AND PROMPT ALIGNMENT OF TEXT-TO-IMAGE AI MODELS IN OFFICE LIGHTING DESIGN: A COMPARATIVE ANALYSIS. ArtGRID. 2026;7(2):233-256. https://izlik.org/JA78NL74EP

Chicago

Şekerci, Yaren, and Parla Özkul. 2026. “EVALUATING THE EFFECTIVENESS AND PROMPT ALIGNMENT OF TEXT-TO-IMAGE AI MODELS IN OFFICE LIGHTING DESIGN: A COMPARATIVE ANALYSIS”. ArtGRID - Journal of Architecture Engineering and Fine Arts 7 (2): 233-56. https://izlik.org/JA78NL74EP.

EndNote

Şekerci Y, Özkul P (January 1, 2026) EVALUATING THE EFFECTIVENESS AND PROMPT ALIGNMENT OF TEXT-TO-IMAGE AI MODELS IN OFFICE LIGHTING DESIGN: A COMPARATIVE ANALYSIS. ArtGRID - Journal of Architecture Engineering and Fine Arts 7 2 233–256.

IEEE

[1]Y. Şekerci and P. Özkul, “EVALUATING THE EFFECTIVENESS AND PROMPT ALIGNMENT OF TEXT-TO-IMAGE AI MODELS IN OFFICE LIGHTING DESIGN: A COMPARATIVE ANALYSIS”, ArtGRID, vol. 7, no. 2, pp. 233–256, Jan. 2026, [Online]. Available: https://izlik.org/JA78NL74EP

ISNAD

Şekerci, Yaren - Özkul, Parla. “EVALUATING THE EFFECTIVENESS AND PROMPT ALIGNMENT OF TEXT-TO-IMAGE AI MODELS IN OFFICE LIGHTING DESIGN: A COMPARATIVE ANALYSIS”. ArtGRID - Journal of Architecture Engineering and Fine Arts 7/2 (January 1, 2026): 233-256. https://izlik.org/JA78NL74EP.

JAMA

1.Şekerci Y, Özkul P. EVALUATING THE EFFECTIVENESS AND PROMPT ALIGNMENT OF TEXT-TO-IMAGE AI MODELS IN OFFICE LIGHTING DESIGN: A COMPARATIVE ANALYSIS. ArtGRID. 2026;7:233–256.

MLA

Şekerci, Yaren, and Parla Özkul. “EVALUATING THE EFFECTIVENESS AND PROMPT ALIGNMENT OF TEXT-TO-IMAGE AI MODELS IN OFFICE LIGHTING DESIGN: A COMPARATIVE ANALYSIS”. ArtGRID - Journal of Architecture Engineering and Fine Arts, vol. 7, no. 2, Jan. 2026, pp. 233-56, https://izlik.org/JA78NL74EP.

Vancouver

1.Yaren Şekerci, Parla Özkul. EVALUATING THE EFFECTIVENESS AND PROMPT ALIGNMENT OF TEXT-TO-IMAGE AI MODELS IN OFFICE LIGHTING DESIGN: A COMPARATIVE ANALYSIS. ArtGRID [Internet]. 2026 Jan. 1;7(2):233-56. Available from: https://izlik.org/JA78NL74EP

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

Abstract

Keywords

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

Abstract

Keywords

Ethical Statement

References

Details

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Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

IZ

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