EMA app UNITIWe are happy to announce that we have a new paper published in Frontiers in Neuroscience: "Predicting Ecological Momentary Assessments in an App for Tinnitus by Learning From Each User's Stream With a Contextual Multi-Armed Bandit". 

Our main findings are that for EMA prediction the entity-centric predictors should be preferred over a user-insensitive global model, and  that the choice of EMA items should be further investigated, because some items are answered more rarely than others. Albeit our CMAB-based prediction workflow is robust to differences in exposition and in interaction intensity, experimentators that design studies with mHealth apps should be prepared to quantify and closely monitor differences in the intensity of user-app interaction, since users with many interactions may have a disproportionate influence on global models.

More information about this publication can be found here: https://www.frontiersin.org/articles/10.3389/fnins.2022.836834/.

UNITI Randomized Clinical Trial

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