2024
DOI: 10.1109/jiot.2023.3331715
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Design of Contextual Filtered Features for Better Smartphone-User Receptivity Prediction

Jumabek Alikhanov,
Panyu Zhang,
Youngtae Noh
et al.

Abstract: For the successful engagement of users with incoming interventions, the delivery of Just-In-Time (or opportune moment-OM) interventions is of the utmost importance. This can be accomplished with a machine learning model that utilizes user context data. Smartwatch and smartphone interactions further open the space for further improvement by considering the user's state and environmental information. In this work, a novel feature engineering approach for predicting smartphone user receptivity to Just-In-Time (JI… Show more

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