Libraly Journal

Libraly Journal ›› 2026, Vol. 45 ›› Issue (5): 54-62.

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Path Analysis, Model Construction, and Optimization Strategy for Multimodal AI-Enabled Immersive Reading Spaces: From the Perspective of Embodied Cognition Theory

Cai Wenjie, Wang Chenmin   

  • Online:2026-05-15 Published:2026-05-27
  • About author:Cai Wenjie, Wang Chenmin

Abstract: AI driven digital transformation of public cultural services is transitioning from technological empowerment to cognition-driven paradigms. However, immersive experiences still face challenges such as insufficient interaction depth and limited cognitive effectiveness. Based on embodied cognition theory, this study examines the embedding mechanisms of multimodal AI in immersive reading spaces and the reconstruction of cognitive pathways, constructing a five-element analytical framework of “perceptual input—bodily engagement—contextual coupling—behavioral cognition—meaning generation”. Through case studies of three representative projects at the Shanghai Library East—Marco Polo‘s Journey of Wonders, Encountering Su Dongpo, and The Future of the Future—it distills three embodied cognition models: sensory-driven, behavior-driven, and semantic-nesting models. On this basis, it proposes optimization strategies including: constructing a multimodal synesthetic synergy mechanism, deepening natural interaction and behavior-driven narratives, advancing the spatial embedding of cultural semantics, establishing a knowledge co-creation and feedback loop, and connecting individual experiences with collective cultural identity. These strategies aim to facilitate a transformation of public cultural services from technology demonstration to deep cognitive activation, providing theoretical support and methodological references for the practice of public cultural spaces.