Research on Dynamic Interactive Design Strategies for Museum Exhibitions from the Perspective of Affective Computing

Abstract

With the deepening digital transformation of museums, their development focus has shifted from the singular application of technology to the in-depth exploration of audience emotional resonance. The maturation of affective computing technology provides a new pathway for this shift. This paper aims, from a design studies perspective, to explore how affective computing can empower the dynamic interactive design of museum exhibitions. Through literature review and case analysis, a design framework comprising three core strategies—“Dynamic Narrative Reconstruction,” “Adaptive Interactive Adjustment,” and “Multi-Sensory Collaborative Immersion”—is constructed. This framework aims to translate emotional data into specific design parameters, promoting the evolution of museum exhibitions from static information delivery (“one-size-fits-all”) to dynamic emotional dialogue (“tailored to each individual”), thereby offering theoretical reference and methodological support for the practice of “integration of art and technology.”