Abstract
The just-in-time adaptive intervention (JITAI) is an intervention design for supporting health behavior changes of an individual especially via mobile technologies. In this position paper we discuss JITAIs as a multi-level modeling problem focusing on the structure of multi-level JITAI models. JITAIs are designed on a generic level, configured for studies, personalized for participants, and evaluated at particular points in time. In this paper we model the multi-level structure of JITAI studies using composition and association classes. We sketch how to transform such models to multi-level models aligned with the multi-level theory. Finally, we discuss challenges and requirements for JITAI systems related to multi-level modeling.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS 2021), Virtual Conference, October 10-15, 2021 |
| Publisher | IEEE Press |
| Pages | 541-545 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781665424844 |
| ISBN (Print) | 978-1-6654-2484-4 |
| DOIs | |
| Publication status | Published - Oct 2021 |
Fields of science
- 102 Computer Sciences
- 102010 Database systems
- 102015 Information systems
- 102016 IT security
- 102025 Distributed systems
- 102027 Web engineering
- 102028 Knowledge engineering
- 102030 Semantic technologies
- 102033 Data mining
- 102035 Data science
- 502050 Business informatics
- 503008 E-learning
JKU Focus areas
- Digital Transformation