Abstract
This study examines how generative AI technologies can enhance architectural design processes to create environments that optimize human cognitive function and emotional well-being. This research investigates how architectural elements influence cognitive processes and examines the revolutionary potential of Generative Adversarial Networks (GANs), and other machine learning algorithms in creating spaces that respond to both conscious and unconscious human preferences. The study addresses the critical relationship between environmental factors and human cognitive processes, including memory, perception, and decision-making, while exploring how generative AI models can analyze complex design parameters and architectural precedents to optimize psychological impact. Contributing to the intersecting fields of architecture, neuroscience, and artificial intelligence, this work establishes a comprehensive framework for understanding how AI-generated spatial designs can actively support brain function, particularly through the implementation of advanced GANs for design synthesis and evaluation. Through systematic analysis of neuroimaging data, environmental psychology research, and computational design experiments, the study examines how principles of neuroplasticity and human spatial cognition can be effectively integrated into architectural design processes. The findings demonstrate that AI-generated spatial designs can significantly enhance workspace optimization, cognitive function, and urban development, while revealing important considerations regarding technological implementation and ethical implications. This research establishes that successful integration of generative AI in neuroarchitecture requires sophisticated evaluation metrics, interdisciplinary collaboration, and careful consideration of individual differences in spatial perception, suggesting a future where built environments dynamically adapt to enhance human cognitive capabilities across healthcare, educational, and urban settings.
Presenters
Justyna PuchalskaTeaching Associate, Design, SWPS University of Social Sciences and Humanities, Mazowieckie, Poland
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
Architectonic, Spatial, and Environmental Design
KEYWORDS
Neuroarchitecture, Generative Artificial Intelligence, Cognitive Design, Spatial Intelligence, Human-Centered Design
