Numerous neuroscientific studies demonstrate the interaction between movement, memory, and environmental conditions. We present a new in-the-field tool that can be used by interior designers, environmental psychologists, and architects to understand and quantify human productivity in desk-related work and study spaces. In this investigation, an interior space, equipped with a new generation of nonintrusive sensors and analytical algorithms synchronously measured multiple individuals and working groups. We tested the hypothesis that a positive correlation exists between stillness and cognitive function associated with self-reported productivity. We explored, which design attributes, Seat Orientation, Zones, Table Crowdedness, and Table Types were associated with statistically significant changes in users' self-reported productivity and micro-movements. A mathematical model was developed to map a “stillness value” for each person across time, deriving a measurable productivity factor (PF) that could be used to synchronously assess the impact of design features in multiple users. Experiments were conducted over 12 days involving 640 academic students in a semi-enclosed reading/study room within a recently built city public library with extensive views of the waterfront, harbor, and bay. Three-dimensional depth-cameras anonymously measured head and body movement while subjects worked and completed productivity surveys. Methods were validated using video recordings, sensor data, questionnaires, and observations. The results showed the PF was significantly correlated to the time spent in different Zones and was greatest at Seat Orientations furthest away from walk-through traffic and in Zones with the highest exposure to the window wall and views. Users in these settings experienced a higher and longer-lasting PF during the high-performance phase of their stay.

中文翻译：

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使用无创深度传感器量化办公桌相关工作空间中的人类生产力水平

许多神经科学研究证明了运动、记忆和环境条件之间的相互作用。我们提出了一种新的现场工具，可供室内设计师、环境心理学家和建筑师使用，以了解和量化与办公桌相关的工作和学习空间中的人类生产力。在本次调查中，一个配备了新一代非侵入式传感器和分析算法的内部空间同步测量了多个个人和工作组。我们检验了静止和与自我报告的生产力相关的认知功能之间存在正相关的假设。我们探讨了哪些设计属性、座位方向、区域、餐桌拥挤度和餐桌类型与用户的统计显着变化相关 自我报告的生产力和微观运动。开发了一个数学模型来为每个人绘制一个跨时间的“静止值”，得出一个可测量的生产力因子 (PF)，该因子可用于同步评估设计特征对多个用户的影响。实验进行了 12 天，涉及 640 名学术学生，他们在一个新建成的城市公共图书馆的半封闭式阅读/自习室中进行，可以看到海滨、海港和海湾的广阔景色。3D 深度相机匿名测量受试者工作和完成生产力调查时的头部和身体运动。使用视频记录、传感器数据、问卷调查和观察对方法进行了验证。结果表明，PF 与在不同区域花费的时间显着相关，并且在距离步行交通最远的座位方向以及与窗墙和视野接触最多的区域中，PF 最大。在这些环境中的用户在他们逗留的高性能阶段经历了更高和更持久的 PF。