A dataset exploring urban comfort through novel wearables and environmental surveys.

IF 6.9 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Data Pub Date : 2024-12-23 DOI:10.1038/s41597-024-04279-9

Patrick Chwalek, Sailin Zhong, Nathan Perry, Tianqi Liu, Clayton Miller, Hamed Seiied Alavi, Denis Lalanne, Joseph A Paradiso

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Abstract

This study presents a comprehensive dataset capturing indoor environmental parameters, physiological responses, and subjective perceptions across three global cities. Utilizing wearable sensors, including smart eyeglasses, and a modified Cozie app, environmental and physiological data were collected, along with pre-screening, onboarding, and recurring surveys. Peripheral cues facilitated participant engagement with micro-EMA surveys, minimizing disruption over a 5-day collection period. The dataset offers insights into urban comfort dynamics, highlighting the interplay between environmental conditions, physiological responses, and subjective perceptions. Researchers can utilize this dataset to deepen their understanding of indoor environmental quality and inform the design of healthier built environments. Access to this dataset can advance indoor environmental research and contribute to the creation of more comfortable and sustainable indoor spaces.

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通过新颖的可穿戴设备和环境调查探索城市舒适度的数据集。

本研究提供了一个综合数据集，涵盖了三个全球城市的室内环境参数、生理反应和主观感知。利用包括智能眼镜在内的可穿戴传感器和改进的Cozie应用程序，收集环境和生理数据，以及预筛选、入职和定期调查。外围线索促进了参与者参与微型ema调查，最大限度地减少了5天收集期的干扰。该数据集提供了对城市舒适动态的见解，突出了环境条件、生理反应和主观感知之间的相互作用。研究人员可以利用该数据集加深对室内环境质量的理解，并为更健康的建筑环境的设计提供信息。访问此数据集可以推进室内环境研究，并有助于创造更舒适和可持续的室内空间。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Scientific Data Social Sciences-Education

CiteScore

11.20

自引率

4.10%

发文量

689

审稿时长

16 weeks

期刊介绍： Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.