This study analyzes the role of generative artificial intelligence (AI) tools in supporting the selection of sustainable materials in contemporary kitchen interior design and examines how this contributes to improving interior space quality. A descriptive–applied methodology was adopted, beginning with establishing the concepts and characteristics of the contemporary kitchen and defining criteria for selecting sustainable materials based on international frameworks such as the 2030 Agenda for Sustainable Development, the New Urban Agenda, and LEED and WELL rating systems. These criteria were then integrated into an applied case study for a contemporary kitchen.
Chat GPT was prepared and supplied with the research data to generate standardized text prompts directed to three image-generation tools: Adobe Firefly, Leonardo AI, and Nano Banana, in order to compare their ability to visually represent sustainable materials across key kitchen elements, including flooring, walls, ceiling, countertops, and cabinets.
The results of the first experimental stage showed that Adobe Firefly outperformed the other tools in terms of visual output quality, clarity in representing sustainable materials, and harmony between materials, lighting, and the contemporary character of the design; therefore, it was selected for the final applied stage. The final design demonstrated a strong capacity to employ sustainable materials such as recycled terrazzo, recycled glass tiles, low-emission finishes, recycled gypsum, and reused or low-emission wood products, in a way that aligns with the defined selection criteria and enhances interior space quality.
The study concludes that generative AI tools can serve as effective supportive tools in the initial conceptualization phase and in selecting sustainable materials for contemporary kitchens; however, the adoption of their outputs requires scientific and professional verification by the designer or researcher, particularly regarding the accurate identification and environmental validation of materials.
Keywords: Generative Artificial Intelligence, Interior Design, Sustainable Materials, Contemporary Kitchens, Interior Space Quality, Sustainable Interior Design.
