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从动作到意义:通过支持PIR的机器学习和可解释的AI来理解学生在图书馆的座位偏好

Gizem Izmir Tunahan1, Goksu Tuysuzoglu2, Hector Altamirano3

  • 1Department of Architecture, Dokuz Eylul University, Izmir, Türkiye.

Frontiers in psychology
|August 5, 2025
PubMed
概括

学生更喜欢提供环境控制和安静环境的图书馆座位,而不仅仅是办公桌或日光. 这项研究使用传感器数据和机器学习来指导更好的学术图书馆设计,以专注和舒适.

关键词:
在 PIR 传感器上.学术图书馆 学术图书馆可以解释的人工智能AI机器学习是机器学习.占用情况监测 占用情况监测座位偏好的位置.空间行为空间行为.用户舒适度用户舒适度

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