Towards Adaptability of Just-in-Time Adaptive Interventions

Abstract

Just-in-time adaptive interventions (JITAIs) can promote behavior change in patients. It was the aim of our study to make JITAIs adaptable, i.e., to configure JITAIs for different purposes and to personalize them for different participants, whilst enabling central maintenance and integrated data analysis across deployments and individuals. We present a concept for adaptable JITAIs that was created following a design science approach. It builds on multi-level conceptual modeling and knowledge graphs and will be evaluated in user studies.

Usability Testing of a Multi-Level Modeling Framework for Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health

“…Therefore, data analysis across studies is difficult and requires prior data integration. In previous work [2], we proposed the design of a framework that combines multi-level modeling (MLM), composition hierarchies and specialization hierarchies to eliminate the need for data integration. However, we also pointed out the complexity of the framework and the size of models created with the framework.…”