Quantifying Human Experience in Architectural Spaces with Integrated Virtual Reality and Body Sensor Networks

Quantifying Human Experience in Architectural Spaces with Integrated Virtual Reality and Body Sensor Networks
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DOI:
10.1061/(asce)cp.1943-5487.0000812
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发表时间:
2019-03-01
影响因子:
6.9
通讯作者:
Han, Xue
Han, Xue
中科院分区:
工程技术2区
文献类型:
--
作者:
Ergan, Semiha;Radwan, Ahmed;Han, Xue

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人们90%以上的时间都在室内度过,因此了解建筑环境如何影响人类体验,并评估建筑设计特征的变化如何影响这种体验至关重要。人类在建筑空间中的体验被定义为反映在我们的生理、情感和认知状态上的心理状态。以前的研究试图解释建筑设计特征之间的关系(例如,日光的存在和与自然的连通性)和人类体验。然而,不同的设计特征如何影响人类体验的程度还没有完全量化。这项研究提供了一个集成的方法,融合虚拟现实和非侵入性的身体区域传感器网络(BSNs),以量化人类在建筑空间的经验。使用一组生物识别传感器,几个生理指标,如皮肤电导,大脑活动和心率被捕获和检查,而受试者在虚拟环境(VE)中导航和执行任务。集成平台已被用来量化的压力和焦虑感,通过结构化的用户实验中的可视化实验室使用替代VE配置通过改变相关的一组建筑设计功能。为了概括这项研究的结果,一个大的参与者池被邀请到实验中,在那里可以获得统计上显着不同的结果。对所收集的身体传感器数据的分析表明,人体反应随着建筑设计而变化,超过40%的脑电图(EEG)振荡在所有频带的所有通道上具有更高的值,141%的皮肤电反应(GSR)读数增加,并且与应激诱导环境相比,在应激减轻环境中的光电容积描记图(PPG)中的心率变异性较低。所提出的方法提供了一个系统的方法,建筑设计公司,以获得用户的反馈之前,设计完成,以实现最终的经验之间提出的设计方案。
People spend more than 90% of their time indoors, making it essential to understand how the built environment can influence human experience and assess how the changes in architectural design features can impact this experience. Human experience in an architectural space is defined as the state of mind that is reflected on our physiological, emotional, and cognitive statuses. Previous studies attempted to explain the relation between architectural design features (e.g., the existence of daylight and connectivity to nature) and human experience. However, the extent of how different design features influence human experience has not been fully quantified yet. This study provides an integrated method that fuses virtual reality and noninvasive body area sensor networks (BSNs) to quantify human experience in architectural spaces. Using a set of biometric sensors, several physiological metrics such as skin conductance, brain activity, and heart rate were captured and examined while subjects were navigating and performing tasks in virtual environments (VEs). The integrated platform has been used to quantify the sense of stress and anxiety through structured user experiments in a visualization laboratory using alternate VEs configured by varying the related set of architectural design features. To generalize the findings of this study, a large pool of participants was invited to the experiments, where statistically significantly different results could be obtained. The analysis of the collected body sensor data showed that the human response changes with architectural design, with more than 40% of the electroencephalogram (EEG) oscillations having higher values across all channels on all frequency bands, 141% having an increase in galvanic skin response (GSR) readings, and lower heart rate variability in photoplethysmogram (PPG) in the stress-reducing environment as compared with the stress-inducing environment. The presented approach provides a systematic way for architectural design firms to get user feedback before the design is finalized for achieving the ultimate experience among the proposed design alternatives.