Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach
This novel approach has significant implications for both personalized and adaptive DBCIs by identifying factors that foster or undermine engagement in an individual's respective context. Once identified, these factors can be tailored to promote engagement and support sustained behavior change over time.
Authors
- Donna Spruijt‐Metz (ORCID: https://orcid.org/0000-0002-3884-4300)
- E Rivera Daniel
- Steven A. De La Torre (ORCID: https://orcid.org/0000-0002-3303-8270)
- Klasnja Predrag
- Pavel Misha
- El Mistiri Mohamed
- Hekler Eric
- Marlin Benjamin
Institutions
- University of Southern California (US)
- Northeastern University (US)
- Amherst College (US)
- University of Massachusetts Amherst (US)
- University of Michigan (US)
- Human Longevity (United States) (US)
- Arizona State University (US)
Publication Details
- Journal
- Journal of Biomedical Informatics
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1016/j.jbi.2024.104721
- Citations
- 5
- Primary Topic
- Behavioral Health and Interventions
- Type
- article
- Field-Weighted Citation Impact
- 2.05
Funders
- National Institutes of Health
- National Cancer Institute