@article{article_1499016, title={The Integration of Artificial Intelligence in Furniture Design: A Case Study}, journal={ART/icle: Sanat ve Tasarım Dergisi}, volume={5}, pages={92–121}, year={2025}, DOI={10.56590/stdarticle.1499016}, author={Şekerci, Yaren and Kahraman, Mehmet Uğur and Bal, Hakan}, keywords={Yapay Zeka, Tasarım Aracı, Mobilya Tasarımı, İç Mimarlık, İç Mimarlık Eğitimi}, abstract={The Purpose of the Study: The importance of artificial intelligence (AI) in design-related education, particularly in interior architecture, has become increasingly significant in today’s world. This study aims to explore the integration of AI in furniture design education and its impact on student projects. The primary objective is to evaluate how AI can be incorporated into the design process and how it can enhance students’ creative abilities.
Conceptual/Theoretical Framework: This research reviews the literature on AI’s application in interior architecture and furniture design, highlighting its potential benefits and contributions to current educational methodologies. This study focuses on the "Material and Construction Techniques for Furniture" course, examining how AI-based projects influence students’ learning and design outcomes. The study also includes a discussion of the ’text-to-image’ literature related to the visual creation technology that the students utilized.
Method: The study was conducted with 47 students from the Department of Interior Architecture and Environmental Design at Antalya Bilim University. Students were tasked with redesigning plastic stools into seating elements inspired by selected figures using AI tools. The students were advised to use the artificial intelligence programs MidJourney and DALL-E. In the study, the students’ projects were evaluated and graded by a jury. In this context, the projects of students who received 80 points or above were selected. Thus, seven projects were included in the article for detailed analysis. Data were analyzed using qualitative methods to assess students’ experiences and learning processes with AI.
Findings: The findings indicate that effective use of AI design tools requires a strong foundation in existing design principles; otherwise, the results can be arbitrary. AI tools were most beneficial during the ideation and creative stages. The analysis underscores the transformative potential of AI in traditional design education through innovative methodologies and the promotion of interdisciplinary skills. Clear and guided instruction is crucial for maximizing AI’s effectiveness in an educational setting.
Conclusion: This study provides valuable insights into the application of AI in design education and suggests that AI-generated imagery can add practical value to the ideation process. The findings highlight key considerations for educators and researchers when integrating AI into design education.}, number={1}, publisher={İstanbul Gelişim Üniversitesi}