STATISTICAL ANALYSIS OF THE IMPACT OF ARCHITECTURAL DESIGN ON USERS’ PSYCHOLOGICAL STATE

Abstract

This paper presents a statistical analysis of the impact of architectural design on users’ psychological well-being using A/B testing, a methodological approach introduced by the author. The study relies on synthetic datasets generated in Python and informed by empirical patterns reported in contemporary literature on A/B testing and environmental psychology. Three architectural parameters—color schemes, lighting type, and spatial configuration—were examined to determine their influence on stress, emotional comfort, and cognitive performance. Statistical techniques including t-tests, ANOVA, and regression modelling were applied. The results show that cool colors, natural lighting, and open layouts positively affect psychological well-being. These findings demonstrate the importance of incorporating evidence-based statistical methods into architectural design practice.