Ecologically Valid Multimodal Data Collection

Abstract

This research effort focuses on combining affordable sensing technologies to understand individual behavioral patterns, health outcomes, and personal environments. We deployed our own environmental quality monitor along with established mobile sensing and experience sampling techniques in a study of more than 50 student participants for 3 months in central Texas. We report on our remote deployment, descriptive statistics of the collected data, and results from an initial exploratory analysis. Our novel dataset allows us to study individuals as well as groups and draw ecologically valid conclusions since participants were not isolated from their environments or routines.