Advances in computer science and data-analytic methods are driving a new era in mental
health research and application. Artificial intelligence (AI) technologies hold the potential to …

Wearable devices, such as smartwatches and activity trackers, are commonly used by
patients in their everyday lives to manage their health and well-being. These devices collect …

Background Chatbots empowered by artificial intelligence (AI) can increasingly engage in
natural conversations and build relationships with users. Applying AI chatbots to lifestyle …

Abstract Background and Aims Lapse risk when trying to stop or reduce harmful substance
use is idiosyncratic, dynamic and multi‐factorial. Just‐in‐time adaptive interventions (JITAIs) …

As modern lifestyles offer ever more opportunities for a sedentary existence, physical activity
has become, for many, a marginal aspect of life. Too little physical activity is linked to …

Background Despite an abundance of digital health interventions (DHIs) targeting the
prevention and management of noncommunicable diseases (NCDs), it is unclear what …

Background: Physical behavior researchers using motion sensors often use acceleration
summaries to visualize, clean, and interpret data. Such output is dependent on device …

Given that the one-size-fits-all approach to mobile health interventions have limited effects, a
personalized approach might be necessary to promote healthy behaviors and prevent …

Recommender Systems (RS) help the user in the decision-making process when there is a
problem of plenty or lack of information. The context-aware recommender systems (CARS) …

Obesity is a complex, multi-factorial, chronic condition which increases the risk of a wide
range of diseases including type 2 diabetes mellitus, cardiovascular disease and certain …