Multi-modal data collection for measuring health, behavior, and living environment of large-scale participant cohorts

• Published in: Gigascience Vol. 10; no. 6
• Main Authors: Wu, Congyu, Fritz, Hagen, Bastami, Sepehr, Maestre, Juan P, Thomaz, Edison, Julien, Christine, Castelli, Darla M, de Barbaro, Kaya, Bearman, Sarah Kate, Harari, Gabriella M, Cameron Craddock, R, Kinney, Kerry A, Gosling, Samuel D, Schnyer, David M, Nagy, Zoltan
• Format: Journal Article
• Language: English
• Published: United States Oxford University Press 21.06.2021
• Subjects: Air quality; Cohort Studies; Data collection; Data Note; Electronic devices; Home Environment; Humans; Indoor air pollution; Indoor air quality; Modal data; Portable equipment; Reproducibility of Results; Smartphone; Smartphones; Surveys and Questionnaires; smartphone; college students; BEVO Beacon; multi-modal sensing; health; human-centered computing; Fitbit; ecological momentary assessment

Abstract Background As mobile technologies become ever more sensor-rich, portable, and ubiquitous, data captured by smart devices are lending rich insights into users’ daily lives with unprecedented comprehensiveness and ecological validity. A number of human-subject studies have been conducted to e...