The Architectural Language of Biophilic Design After Architects Use Text-to-Image AI

Biophilic design is an architectural concept that bridges the gap between modern buildings and the innate human longing for nature. In addition, it promotes physical and mental well-being while aligning with several Sustainable Development Goals. Recent research highlights that the architectural language used to describe the attributes of biophilic architecture remains unclear. Previous research has shown that text-to-image AI enhances architects’ ability to articulate their ideas more effectively. Therefore, this study aims to address the following research question: What are the architectural languages of biophilic design after architects use text-to-image AI? The initial step involves generating images of biophilic architecture by using three popular text-to-image AI tools: DALL-E 3, MidJourney, and Stable Diffusion. The 30 selected images were used to help architects develop the architectural language to describe the characteristics of biophilic design across 10 categories: Form, Space, Movement, Light, Color, Material, Object, View, Sound, and Weather. The terms obtained were analyzed using natural language processing (NLP) techniques, including word cloud analysis, frequency analysis, and topic modeling. The results indicate that the architectural language of biophilic design exhibits greater detail and clarity after architects utilize text-to-image AI. Nevertheless, in some instances, the language used to describe biophilic design is also constrained by the images generated by the text-to-image AI that the architects observe.

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.