Construction Technologies Institute, National Research Council of Italy (ITC-CNR), Via Lombardia, 49, San Giuliano Milanese, 20098 Milano, Italy.
Department of Architecture and Industrial Design, Università degli Studi della Campania "Luigi Vanvitelli", Via San Lorenzo, Abazia di San Lorenzo, 81031 Aversa, Italy.
Sensors (Basel). 2024 Sep 22;24(18):6126. doi: 10.3390/s24186126.
This study presents the results of the practical application of the first prototype of WEMoS, the Wearable Environmental Monitoring System, in a real case study in Singapore, along with two other wearables, a smart wristband to monitor physiological data and a smartwatch with an application (Cozie) used to acquire users' feedback. The main objective of this study is to present a new procedure to assess users' perceptions of the environmental quality by taking into account a multi-domain approach, considering all four environmental domains (thermal, visual, acoustic, and air quality) through a complete wearable system when users are immersed in their familiar environment. This enables an alternative to laboratory tests where the participants are in unfamiliar spaces. We analysed seven-day data in Singapore using a descriptive and predictive approach. We have found that it is possible to use a complete wearable system and apply it in real-world contexts. The WEMoS data, combined with physiology and user feedback, identify the key comfort features. The transition from short-term laboratory analysis to long-term real-world context using wearables enables the prediction of overall comfort perception in a new way that considers all potentially influential factors of the environment in which the user is immersed. This system could help us understand the effects of exposure to different environmental stimuli thus allowing us to consider the complex interaction of multi-domains on the user's perception and find out how various spaces, both indoor and outdoor, can affect our perception of IEQ.
本研究展示了首款 WEMoS（可穿戴环境监测系统）原型在新加坡实际案例研究中的实际应用结果，同时还展示了另外两款可穿戴设备，一款用于监测生理数据的智能手环和一款带有应用程序（Cozie）的智能手表，用于获取用户反馈。本研究的主要目的是提出一种新的程序，通过考虑多领域方法，通过完整的可穿戴系统来评估用户对环境质量的感知，考虑到所有四个环境领域（热、视觉、声音和空气质量），当用户沉浸在熟悉的环境中时。这为实验室测试提供了一种替代方法，在实验室测试中，参与者处于不熟悉的空间。我们使用描述性和预测性方法分析了新加坡的七天数据。我们已经发现，使用完整的可穿戴系统并将其应用于实际环境中是可行的。WEMoS 数据与生理数据和用户反馈相结合，可以确定关键的舒适度特征。从短期实验室分析到长期真实世界环境的转变，使用可穿戴设备可以以一种新的方式预测整体舒适度感知，这种方式考虑了用户沉浸其中的环境中所有潜在的有影响的因素。该系统可以帮助我们了解暴露于不同环境刺激的影响，从而使我们能够考虑多领域的复杂相互作用对用户感知的影响，并找出室内和室外的各种空间如何影响我们对 IEQ 的感知。
