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未来的工作空间需要灵活性和多样性:一个机器学习驱动的共同工作空间行为分析
Jiayu Pan1, Tze Yeung Cho2, Maoran Sun1
1Sustainable Design Group, Department of Architecture, University of Cambridge, Cambridge, United Kingdom.
PloS one
|October 18, 2023
概括
在共同工作空间中以人为中心的设计优先考虑福祉和混合工作需求. 开放区域最适合合作,而私人空间适合集中工作,优化灵活的办公布局.
科学领域:
- 建筑和城市规划.
- 人与计算机的交互
- 职业心理学 职业心理学
背景情况:
- 工作空间的演变是由技术,不断变化的工作模式和员工幸福感驱动的.
- 共同工作空间提供了成本效益,灵活的设计和多用途的机会,作为一个替代的工作空间解决方案.
- 了解用户行为和空间利用对于优化现代办公环境至关重要.
研究的目的:
- 在伦敦的一个灵活的共同工作空间中,研究以人为中心的设计选择.
- 调查占用水平和用户行为的空间和时间变化.
- 为未来的办公空间规划提供数据驱动的洞察力,特别是用于混合工作.
主要方法:
- 对传感器检测的占用数据 (145万个数据点超过477天) 的机器学习驱动分析.
- 在现场观察乘客活动,环境,行为和偏好 (1000多张13天的快照).
- 空间使用的分解,座位利用率的计算和空间热点的识别.
主要成果:
- 在窗户附近或在开放,可见的位置共享的工作区域是最适合沟通和一般工作的.
- 半封闭的空间具有更高的隐私,有利于集中,个人的工作.
- 多用途机遇的灵活性被确定为混合动力工作中最受欢迎的特征.
结论:
- 以人为中心的设计对共同工作空间的功能和用户满意度产生了重大影响.
- 对空间利用和用户偏好进行数据驱动的洞察对于有效的办公室规划至关重要.
- 这些发现支持设计未来的工作空间,以适应混合工作,热办公桌和共同工作模式.
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