Although windows are known to modulate occupant well-being, the specific capacity of window dimensions to alleviate stress requires deeper empirical validation. To address this, we evaluated 36 young, healthy subjects (aged 20–27) within a virtual office configured with four window-to-wall ratios (WWR: 0%, 25%, 50%, and 75%). Stress levels were quantified by integrating subjective evaluations with EEG time–frequency domains and microstate transitions. The results demonstrated that windowed conditions consistently elevated subjective comfort ratings and α-wave activity, reflecting enhanced psychological relaxation. Notably, measured brain activity exhibited a peak at 0% WWR and a global minimum at 50% WWR, suggesting a potential physiological threshold for maximum relaxation within the tested demographic. Subsequent microstate analysis confirmed that windowed environments extended the duration of states B (visual processing), C (saliency network), and D (attention orientation), alongside increased transition shifts from state A to B and from state B to C. Utilizing these extracted physiological biomarkers, a developed neural network model predicted human comfort with 78.79% accuracy. Ultimately, these preliminary findings indicate that optimized window scaling can measurably mitigate urban stress, providing a data-driven theoretical framework for architectural design.
Li et al. (Mon,) studied this question.