A dataset exploring urban comfort through novel wearables and environmental surveys

作者：Patrick Chwalek, Sailin Zhong, Nathan W. Perry, Tianqi Liu, Clayton Miller, Hamed S. Alavi, Denis Lalanne, Joseph A. Paradiso · 发表于：Scientific Data · 年份：2024 · DOI：10.1038/s41597-024-04279-9 · 被引用次数：5 · 研究领域：Building Energy and Comfort Optimization、Noise Effects and Management、Urban Green Space and Health

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.