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A Framework for Ambient Intelligence-Driven Multisensory VR Interaction With Outdoor Landscape Sculptures

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  • Haiying Yang

    (Henan Institute of Technology, China)

Abstract

This article presents a virtual reality landscape sculpture framework that applied ambient intelligence to transform conventional static landscape sculptures into context-aware interactive installations. Based on multi-source environmental sensors and semantic annotation, the system supported real-time three-way interaction between environment, sculptures, and users. It integrated the multisensory fusion rendering algorithm for synchronized visual–auditory–tactile feedback and the gesture eye synergy model for implicit natural interaction, with 42 ms response latency. Tests with 48 participants showed that the virtual reality–landscape sculpture framework achieved significantly higher immersion depth (0.82 versus 0.66), emotion valence (0.79 versus 0.63), and knowledge retention (0.68 versus 0.55) than mobile augmented reality, all at p

Suggested Citation

  • Haiying Yang, 2026. "A Framework for Ambient Intelligence-Driven Multisensory VR Interaction With Outdoor Landscape Sculptures," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global Scientific Publishing, vol. 17(1), pages 1-23, January.
    • Handle: RePEc:igg:jaci00:v:17:y:2026:i:1:p:1-23
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