The goals of this project are to adapt computational models for detecting stress, craving, smoking, eating and geoexposures from mobile sensor data by incorporating modeling advances; determine timing for intervention and adaptation of content based on detection of the above listed biomarkers; and to facilitate intervention data collection for user students.
Grant/Award: NSF-1722646
Lead PI: Dr. Ben Marlin, UMass Amherst
