Exploring Urban Comfort through Novel Wearables and Environmental Surveys
August 01, 2024 Β· Declared Dead Β· π Scientific Data
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Authors
Patrick Chwalek, Sailin Zhong, Nathan Perry, Tianqi Liu, Clayton Miller, Hamed Seiied Alavi, Denis Lalanne, Joseph A. Paradiso
arXiv ID
2408.08323
Category
cs.HC: Human-Computer Interaction
Citations
4
Venue
Scientific Data
Last Checked
4 months ago
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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