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Meta-analysis of 35 studies examining the effect of indoor temperature on office work performance
Building and Environment ( IF 7.1 ) Pub Date : 2021-06-11 , DOI: 10.1016/j.buildenv.2021.108037
Jose Ali Porras-Salazar , Stefano Schiavon , Pawel Wargocki , Toby Cheung , Kwok Wai Tham

Several relationships between air temperature and work performance have been published. We reanalysed the one developed in 2006 by Seppänen et al.; which is probably the best known. We found that even when significant, its prediction accuracy is very low (R2 = 0.05, MAE = 1.9%, RMSE = 3.1%). We consequently reviewed the literature and found 35 studies on the effects of temperature on office work performance. We used Seppänen et al.’s approach to normalise the data reported in these studies and explored the feasibility to develop a new relationship using regression models, models based on the Maximal Adaptability framework, and machine learning. We could not find a relationship between temperature and office work performance neither for the range of temperatures measured in most of the office buildings (20 °C–30 °C) or a wider range (18 °C–34 °C). Plausible reasons are discussed including the variety of methods used to assess performance, the multiple uncontrolled confounders, and the fact that temperature alone may not fully describe how the thermal environment affects building occupants. We do not recommend the use in practice of any of the models relating temperature to office work performance examined in the present study. The lack of relationships does not necessarily refute that temperature affects the performance of office work. Coordinated research predicated on a shared protocol enabling integrated analysis in the modelling of the relationships between the indoor thermal environment and office work performance is proposed to be carried out before using them in practice. We made the database open-source and developed an application for data exploring.



中文翻译:

35 项研究室内温度对办公室工作绩效影响的荟萃分析

空气温度和工作表现之间的几种关系已经发表。我们重新分析了 Seppänen 等人于 2006 年开发的方法。这可能是最著名的。我们发现,即使显着,其预测精度也非常低(R 2  = 0.05,MAE  = 1.9%,RMSE = 3.1%)。因此,我们回顾了文献,发现了 35 项关于温度对办公室工作绩效影响的研究。我们使用 Seppänen 等人的方法对这些研究中报告的数据进行标准化,并探索了使用回归模型、基于最大适应性框架的模型和机器学习开发新关系的可行性。无论是在大多数办公楼测量的温度范围(20°C-30°C)还是更宽的范围(18°C-34°C),我们都找不到温度与办公室工作绩效之间的关系。讨论了合理的原因,包括用于评估性能的各种方法、多个不受控制的混杂因素,以及单独温度可能无法完全描述热环境如何影响建筑物居住者的事实。我们不建议在实践中使用本研究中检验的任何将温度与办公室工作表现相关的模型。缺乏关系并不一定反驳温度会影响办公室工作的表现。建议在实际使用之前进行基于共享协议的协调研究,该协议能够对室内热环境和办公室工作绩效之间的关系建模进行综合分析。我们将数据库开源并开发了一个用于数据探索的应用程序。建议在实际使用之前进行基于共享协议的协调研究,该协议能够对室内热环境和办公室工作绩效之间的关系建模进行综合分析。我们将数据库开源并开发了一个用于数据探索的应用程序。建议在实际使用之前进行基于共享协议的协调研究,该协议能够对室内热环境和办公室工作绩效之间的关系建模进行综合分析。我们将数据库开源并开发了一个用于数据探索的应用程序。

更新日期:2021-06-28
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