Ontology highlight
ABSTRACT: Background
Behavior change apps can develop iteratively, where the app evolves into a complex, dynamic, or personalized intervention through cycles of research, development, and implementation. Understanding how existing users engage with an app (eg, frequency, amount, depth, and duration of use) can help guide further incremental improvements. We aim to explore how simple visualizations can provide a good understanding of temporal patterns of engagement, as usage data are often longitudinal and rich.Objective
This study aims to visualize behavioral engagement with Drink Less, a behavior change app to help reduce hazardous and harmful alcohol consumption in the general adult population of the United Kingdom.Methods
We explored behavioral engagement among 19,233 exis
SUBMITTER: Bell L
PROVIDER: S-EPMC7762688 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature