Exploring the relationship between audio–visual perception in Fuzhou universities and college students' attention restoration quality using machine learning

By innovatively integrating multi-source data and machine learning techniques, this study systematically analyzes the relationship between campus audiovisual environments and attention recovery, breaking through the limitations of traditional linear analysis. The proposed "threshold response design" and "cross-modal collaborative optimization" strategies provide a new paradigm for campus planning, validate the scientific value of multi-sensory interaction design for mental health promotion, and offer a transferable methodological framework for global university environmental upgrades.