Methodology for Developing Real-Time Mobile Phone Adaptive Interventions
This cube is focused on conducting preliminary studies for one or more grant applications concerning methodology and algorithms necessary for developing high quality personalized adaptive interventions using mobile phones. These adaptive interventions use real-time data to continually adapt, in real-time, the intervention to participant progress. We will investigate issues common to a variety of health related settings (e.g. substance abuse, chronic pain, obesity and adolescent pregnancy).
Specifically this cube will develop data analytic methods for constructing and improving (1) intensive, real time, adaptive interventions that work at the individual level and (2) adaptive support interventions that work via the social network between the mobile phone users. The two levels of adaptive interventions should work in concert to improve participant health. We will conduct pilot studies using smart phones on healthy subjects to test the algorithms/methodology.
$2,405,769 grant from the National Institutes of Health