End-colloquium Jildert Turkstra

AI Integration in Design Processes: A Study of Human, Human-AI, and AI-Automated Approaches in Co-Evolutionary Spatial-Structural Cycles

The increasing complexity and sustainability challenges in the built environment necessitate more efficient design processes. Advances in Artificial Intelligence (AI) offer promising tools to enhance various aspects of building design by mimicking human reasoning and behavior. Despite significant progress in AI integration, there remains a limited understanding of how different levels of AI involvement affect the design process and its outcomes. Previous studies have highlighted AI's potential to optimize design parameters but also pointed out its limitations in handling the iterative aspects of the design process. To address these gaps, a design studio experiment was conducted to compare the performance and process outcomes of human-only, human-AI collaborative, and AI-only design approaches. The experiment involved participants completing the same design assignment using one of the three approaches. Quantitative and qualitative analyses were performed to evaluate the optimization of structural parameters, design exploration, and the overall impact of AI on the design process.