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An Ambient–Physical System to Infer Concentration in Open-Plan Workplace

机译:在开放式工作场所推断间环境的环境系统

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摘要

One of the core challenges in open-plan workspaces is to ensure a good level of concentration for the workers while performing their tasks. Hence, being able to infer concentration levels of workers will allow building designers, managers, and workers to estimate what effect different open-plan layouts will have and to find an optimal one. In this article, we present an ambient-physical system to investigate the concentration inference problem. Specifically, we deploy a series of pervasive sensors to capture various ambient and physical signals related to perceived concentration at work. The practicality of our system has been tested on two large open-plan workplaces with different designs and layouts. The empirical results highlight promising applications of pervasive sensing in occupational concentration inference, which can be adopted to enhance the capabilities of modern workplaces.
机译:开放式工作区中的核心挑战之一是在执行任务时确保工人的浓度良好。因此,能够推断专长的工人将允许建立设计师,经理和工人来估计不同开放式布局的效果,并找到最佳的效果。在本文中,我们提出了一个环境 - 物理系统来研究浓度推理问题。具体而言,我们部署了一系列普遍的传感器,以捕获与在工作中感知浓度相关的各种环境和物理信号。我们系统的实用性已经在两个具有不同设计和布局的大型开放式工作场所进行了测试。经验结果突出了普遍性感应在职业集中推理中的有希望的应用,可以采用增强现代工作场所的能力。

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