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Sensor networks in workplaces: Correlating comfort and productivity

机译:工作场所中的传感器网络:舒适性和生产率之间的关联

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摘要

Current designs of modern office workplaces focus on health and safety standards but minimally address worker comfort and satisfaction. However, physical and mental wellness indicators directly affect the output of the worker according to existing studies that illustrate the strong relationship between workplace conditions and productivity. Personal and environmental sensed data can inform smarter workplace design and operations to potentially increase productivity and benefit all stakeholders in the modern workplace. This paper introduces a project that will measure environmental variables and personal physical and mental parameters of employees in different office environments to determine correlations with productivity. In-vivo measurements are obtained via a combination of environmental sensor modules and personal monitoring devices that record the interplay between variables affecting comfort and productivity in a workplace. The office spaces included in the study vary in age, heating/cooling management systems and the internal environmental efficiency of the buildings' design. This paper presents the pilot study that obtained bio-metric data from body area network sensors for each participant and environmental data on the state for workplace including thermal, humidity and light measurements. The participants were given self-reflective micro-surveys on productivity during the time of data collection. The preliminary results indicate that despite climate controlled conditions (i.e., a sealed air conditioned building), natural variance and sub-optimal conditions directly affected reported productivity.
机译:当前现代办公场所的设计着重于健康和安全标准,但很少涉及工人的舒适度和满意度。然而,根据现有研究表明,身心健康指标直接影响工人的产出,这些研究表明了工作场所条件与生产率之间的密切关系。个人和环境感知的数据可以为更智能的工作场所设计和运营提供信息,从而有可能提高生产力,并使现代工作场所中的所有利益相关者受益。本文介绍了一个项目,该项目将测量环境变量以及员工在不同办公环境中的个人身心参数,以确定与生产率的相关性。通过环境传感器模块和个人监控设备的组合获得体内测量值,这些设备记录影响工作场所舒适性和生产率的变量之间的相互作用。研究中包括的办公空间的使用时间,供暖/制冷管理系统以及建筑物设计的内部环境效率各不相同。本文提出了一项初步研究,该研究是从人体区域网络传感器获取每个参与者的生物识别数据以及工作场所状态的环境数据,包括热量,湿度和光的测量结果。在数据收集期间,对参与者进行了关于生产率的自我反思性微观调查。初步结果表明,尽管受气候控制条件(即密封的空调建筑物)的影响,自然变化和次优条件直接影响了报告的生产率。

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