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The relationship between architectural space form, the representation of human physiological parameters in architectural space, and the natural language vocabulary chosen by people to evaluate space has not been thoroughly explored. On the other hand, VR architectural spaces are still created based on space experiences in the physical world, resulting in their limited and inconsistent attractiveness. This study proposes a research framework for developing an intelligent VR platform which offers tailored and adaptive VR spaces based on users’ real-time physiology and subjective preferences. This research framework may bring a significant influence to the VR industry and also the architecture discipline.

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Integrating Internet of Bodies and Reinforcement Learning to Create Adaptive Architectural Spaces in VR: A Research Framework

  • 会议论文

  • 发表日期：

    2026年

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  • Shenghuan Zhao

摘要

The relationship between architectural space form, the representation of human physiological parameters in architectural space, and the natural language vocabulary chosen by people to evaluate space has not been thoroughly explored. On the other hand, VR architectural spaces are still created based on space experiences in the physical world, resulting in their limited and inconsistent attractiveness. This study proposes a research framework for developing an intelligent VR platform which offers tailored and adaptive VR spaces based on users’ real-time physiology and subjective preferences. This research framework may bring a significant influence to the VR industry and also the architecture discipline.