The integration and application of multi-dimensional model of art gallery space driven by user behavior data

Taking art museums as the research object, a multi-dimensional model of FBS-QFD-AHP is constructed to integrate multi-source data and reveal the core driving role of multisensory interaction in cultural cognition. By analyzing the effectiveness of spatial design in guiding movement and sensory integration, optimization strategies such as intelligent navigation and the application of eco-friendly materials are proposed to promote the deep integration of traditional culture and technology in art spaces. Based on this, optimization suggestions are put forward to provide theoretical and practical references for future art museum space design, aiming to facilitate better integration of traditional culture and modern technology in art spaces.