Using computer-vision sensors to study the impact of window views on occupancy and self-assessed productivity in flexible working environments: an intervention study

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Intelligent Buildings International Pub Date : 2022-07-16 DOI:10.1080/17508975.2022.2084012
K. Jens, Andrew Khoudi
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引用次数: 0

Abstract

ABSTRACT Changing lifestyles and working behaviours diversify the use demands directed towards modern working environments. As a result, building spaces have become more flexible with dynamic and varied activity landscapes that often contradict subjective perceptions. This research applies data from computer-vision cameras and surveys with a total of 229 participants. The participants were randomly selected to investigate the effect of installing window blinds on occupancy counts, occupancy duration, and perceived productivity, four days before and after blocking daylight and natural views. The results show statistically significant decreases in occupant counts and perceived productivity rates after the intervention, with an associated increase in occupancy duration. With sensors to collect post-occupancy data, this research contributes to a better understanding of the role that daylight and natural views can have for user experiences and human behaviour.
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使用计算机视觉传感器研究灵活工作环境中窗户对占用率和自我评估生产力的影响:一项干预研究
不断变化的生活方式和工作行为使现代工作环境的使用需求多样化。因此,建筑空间变得更加灵活,具有动态和多样化的活动景观,经常与主观感知相矛盾。这项研究使用了来自计算机视觉相机和总共229名参与者的调查的数据。参与者被随机选择,在遮挡日光和自然景观的前后四天,调查安装百叶窗对占用数量、占用时间和感知生产力的影响。结果显示,干预后,入住人数和感知生产率显著下降,入住时间增加。通过传感器收集入住后的数据,这项研究有助于更好地理解日光和自然景观对用户体验和人类行为的影响。
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来源期刊
Intelligent Buildings International
Intelligent Buildings International CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
4.60
自引率
4.30%
发文量
8
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