使用生物特征数据和脑电图评估两个办公空间的建筑质量:一项试点实验

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
Peter A. Bacevice, Arlene Ducao
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引用次数: 6

摘要

摘要Architecture对神经科学的研究表明,生物特征数据,特别是通过使用便携式脑电图(EEG)技术捕获的神经生理学数据,在理解用户对空间的生理反应方面具有价值。虽然使用便携式脑电图技术的方法越来越多地被用于研究各种日常环境,但办公环境尚未成为此类研究的主题。为了解决这一差距,我们使用便携式脑电图传感器和心率监测器对办公室居住者在他们的空间里进行了一项中试规模的准实验,几个月后,当这群人搬到新的空间时,我们再次进行了这项实验。我们的研究结果表明,与旧办公室相比,用户体验新办公室,尤其是咖啡馆空间的方式更轻松,这表明神经生理学数据可以用于描述设计特征和启示的影响。在办公空间重新设计前后进行的对办公室用户的生物特征研究扩大了入住后评估的方法多样性。考虑到我们的试点方法和有限的样本量,我们反思了我们的发现对生物特征数据在混合方法入住后评估设计中的作用的重要性。我们还思考了未来办公环境研究的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of biometric data and EEG to assess architectural quality of two office spaces: a pilot experiment
ABSTRACT Architecture's reach into neuroscience has demonstrated the value of biometric data, particularly neurophysiological data captured through the use of portable electroencephalography (EEG) technology, in understanding users’ physiologic responses to spaces. While methods employing portable EEG technology are increasingly being used to study a variety of everyday settings, office environments have not yet been the subject of such studies. To address this gap, we used portable EEG sensors and heart rate monitors to conduct a pilot-scale, quasi-experiment of office occupants in their space and then again when that group relocated to new space several months later. Our findings revealed that users experienced the new office, particularly its café space, in a more relaxed way compared to the old office, suggesting that neurophysiologic data can be used in describing the effects of design features and affordances. When conducted before and after an office space redesign, biometric studies of office users broaden the methodological diversity of post-occupancy evaluations. We reflect on the significance of our findings, given our pilot approach and limited sample size, with respect to biometric data's role in the design of mixed methods post-occupancy evaluations. We also reflect on directions for future research of office environments.
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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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