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Journals / ODÜ SOSYAL BİLİMLER ARAŞTIRMALARI DERGİSİ-ODÜSOBİAD / 2026 / Cilt: 16 Sayı: ISRIS 2026 Özel Sayı

Generative AI in visual design processes: A systematic review and comparative analysis from the perspective of design disciplines

Görsel tasarım süreçlerinde üretken yapay zeka: Tasarım disiplinleri perspektifinden sistematik derleme ve karşılaştırmalı analiz

Yasemin Kayabaşı(Burdur Mehmet Akif Ersoy Üniversitesi)0000-0002-6647-778X
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Publication Date
2026-10-14
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This research presents an original framework that addresses the use of AI comparatively across five visual design disciplines, emphasizing the necessity of field-based evaluations for design researchers, educators, and practitioners.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The rapid development of generative AI is fundamentally transforming creative design disciplines including graphic design, visual communication design, animation, game design, and UI/UX design.
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Key Findings & Data:The research conducted by Choudhury, Eisenbart & Kuys (2025) and Song & Abdul Rabu (2025) have clearly revealed the need for discipline-specific comparative studies in sub-fields.
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Conclusion & Impact:This research presents an original framework that addresses the use of AI comparatively across five visual design disciplines, emphasizing the necessity of field-based evaluations for design researchers, educators, and practitioners.
🔬Design:Review & Systematic Survey
📍Scope:2025 Verileri
⚙️Variables:üretken yapay zeka · tasarım disiplinleri · tasarım süreçleri

Abstract

The rapid development of generative AI is fundamentally transforming creative design disciplines including graphic design, visual communication design, animation, game design, and UI/UX design. Existing studies predominantly address the role of AI within a single discipline, while comparative analyses examining these fields systematically remain limited in the literature. The research conducted by Choudhury, Eisenbart & Kuys (2025) and Song & Abdul Rabu (2025) have clearly revealed the need for discipline-specific comparative studies in sub-fields. The aim of this research is to reveal comparatively in which functions, at which stages, and in what forms of human-AI collaboration AI is utilized within these design disciplines. This systematic review was conducted based on the PRISMA 2020 protocol. A search conducted in the Scopus and Web of Science databases, a total of 100 articles were analyzed, comprising 20 articles representing each of the five visual design disciplines. The results of the analysis reveal that graphic design, artificial intelligence supports concept development and visual production processes, while in visual communication design, it undertakes evaluation and classification functions. In the field of animation, motion generation and character development processes are accelerated, and in game design, it assumes a determining role in procedural content generation and narrative development stages. In UI/UX design, AI contributes to the modeling of user behavior and prototyping processes. The interdisciplinary comparison shows that AI has established itself as a different creative partner in each field, and common challenges such as originality, copyright, and the transformation of designer identity maintain their validity across all disciplines. This research presents an original framework that addresses the use of AI comparatively across five visual design disciplines, emphasizing the necessity of field-based evaluations for design researchers, educators, and practitioners.

Özet

Üretken yapay zekanın hızlı gelişimi, grafik tasarım, görsel iletişim tasarımı, animasyon, oyun tasarımı ve UI/UX tasarımı başta olmak üzere yaratıcı tasarım disiplinlerini köklü biçimde dönüştürmektedir. Mevcut çalışmalar yapay zekanın rolünü büyük ölçüde tek disiplin odağında ele almakta, bu alanları karşılaştırmalı biçimde inceleyen sistematik analizler ise literatürde sınırlı kalmaktadır. Choudhury, Eisenbart ve Kuys (2025) ile Song ve Abdul Rabu (2025) tarafından gerçekleştirilen araştırmalar, tasarım disiplinlerine özgü karşılaştırmalı çalışmalara duyulan ihtiyacı açıkça ortaya koymuştur. Araştırmanın amacı, söz konusu disiplinlerde yapay zekanın hangi işlevlerle, hangi aşamalarda ve hangi insan-yapay zeka iş birliği biçimleriyle kullanıldığını karşılaştırmalı olarak ortaya koymaktır. Bu sistematik derleme, PRISMA 2020 protokolü temel alınarak yürütülmüştür. Scopus ve Web of Science veri tabanlarında gerçekleştirilen arama ile 795 makale eleme sürecine dahil edilmiştir. Araştırma kapsamında aşamalı eleme süreci sonucunda beş görsel tasarım disiplininden her birini temsil eden 20'şer makale olmak üzere toplam 100 makale analiz edilmiştir. Analiz sonuçları, grafik tasarımda yapay zeka kavram geliştirme ve görsel üretim süreçlerini desteklemekte, görsel iletişim tasarımında değerlendirme ve sınıflandırma işlevlerini üstlenmektedir. Animasyon alanında hareket üretimi ve karakter geliştirme süreçleri hızlandırılmakta, oyun tasarımında otomatik içerik üretimi ve anlatı geliştirme aşamalarında belirleyici bir rol üstlenilmektedir. UI/UX tasarımında ise yapay zeka, kullanıcı davranışlarının modellenmesi ve prototipleme süreçlerine katkı sağlamaktadır. Disiplinlerarası karşılaştırma, yapay zekanın her alanda farklı bir yaratıcı ortak konumuna yerleştiğini, özgünlük, telif hakkı ve tasarımcı kimliğinin dönüşümü gibi ortak güçlüklerin tüm disiplinlerde geçerliliğini koruduğunu görülmektedir. Bu araştırma, yapay zeka kullanımını beş görsel tasarım disiplini boyunca karşılaştırmalı olarak ele alan özgün bir çerçeve sunmakta, tasarım araştırmacıları, eğitimciler ve uygulayıcılar için alan bazlı değerlendirmelerin gerekliliğini vurgulamaktadır.

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Cite This Article

Kayabaşı, Y. (2026). Generative AI in visual design processes: A systematic review and comparative analysis from the perspective of design disciplines. ODÜ SOSYAL BİLİMLER ARAŞTIRMALARI DERGİSİ-ODÜSOBİAD, Cilt: 16 Sayı: ISRIS 2026 Özel Sayı. https://doi.org/10.48146/odusobiad.1959175

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