GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling

Ubiquitous computing, the seamless integration of sensing, analytics, and feedback into daily life envisioned by Weiser 12, has come closer to reality with the broad adoption of smartphones and wearable devices. These devices, integral to users' daily routines, passively collect massive amounts of data on human behavior, offering unprecedented insights into personal health and well-being 7. For example, passive sensing can continuously monitor subtle changes in behavior indicative of depression or other shifts in mental health status 10,14,15.