Data-driven design — Using data on human behaviour and spatial configuration to inform better workplace design
Data-driven design — Using data on human behaviour and spatial configuration to inform better workplace design
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数据驱动的设计——利用人类行为和空间配置的数据来指导更好的工作场所设计
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
R. Haslem
中科院分区：
文献类型：
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作者：
K. Sailer;R. Pomeroy;R. Haslem
最近的研究表明，大多数员工对他们的工作环境不满意。与此同时，科学家们开始发现更清晰、更反复出现的模式，表明工作场所的空间设计如何影响员工的满意度、幸福感、信息交流、沟通和流动。这篇论文认为，来自这一研究机构的见解可以用来改进工作场所设计。它概述了作为新的新兴实践的基于证据的和数据驱动的设计，这些实践基于严格收集的数据做出设计决策。这篇论文以总部位于伦敦的Spacelab的多个案例研究为例，展示了如何通过依赖数据而不是直觉、观点或办公室政治，更深刻地解决客户的典型需求。主要的见解包括如何让更多的人进入一个空间，是否每个人都需要一张桌子，谁应该坐在哪里，如何找到完美的物业，以及如何建立一个项目的成功。最后，论文确定了将研究成果进一步整合到设计实践中的关键障碍，并提出了未来如何克服这些障碍的建议。
Recent studies have shown that the majority of staff are dissatisfied with their workplace environment. At the same time, scientists are beginning to discover clearer and recurring patterns that show how the spatial design of a workplace affects staff satisfaction, well-being, exchange of information, communication and movement flows. This paper argues that insights from this body of research could be used to improve workplace design. It gives an overview of evidence-based and data-driven design as new emerging practices, which base design decisions on rigorously collected data. Using various case studies from Spacelab — a London-based practice — as an example, the paper shows how the typical needs of clients can be solved more profoundly by relying on data rather than intuition, opinion or office politics. The main insights include answers to the questions of how to fit more people into a space, whether everyone needs a desk, who should sit where, how to find the perfect property and how to establish the success of a project. In conclusion, the paper identifies key barriers for the further integration of research findings into design practice and suggests how they might be overcome in the future.