Biotechnology-Driven Color Space Innovation: Correlation Research for Interior and Architectural Space Design
Yanbo Chen
Taizhou Institute of Sci. & Tech., NJUST., 225300, China
DOI:https://doi.org/10.5912/jcb2531
Abstract:
In architectural interior design, color functions as a critical biotechnological interface, enhancing human sensory experiences and shaping spatial aesthetics. This study investigates the correlation between architectural space and color schemes by integrating deep learning models to develop biologically attuned design solutions. Leveraging bio-inspired color theory and spatial analytics, the proposed framework optimizes color selections to promote occupant well-being while preserving design integrity. A novel dataset of color sentiment imagery is constructed to analyze chromatic interactions within interior environments. Utilizing a conditional deep convolutional generative adversarial network (cDCGAN), the system generates adaptive color schemes that dynamically respond to spatial contexts, including scale-expansion effects and warm-cold contrasts. An evolutionary algorithm iteratively refines color parameters, ensuring convergence to optimal solutions that balance visual harmony and psychological comfort. Experimental results confirm a 19% improvement in color scheme accuracy compared to traditional approaches, validating the framework's potential for creating bio-adaptive interior spaces. This research contributes to the intersection of biotechnology and interior design by establishing a computational model that translates color theory into biologically responsive spatial strategies. The framework offers a scalable solution for architects and designers, aligning with emerging biotech-driven trends to create harmonious, human-centric interior environments.