Background Social anxiety disorder is a highly prevalent and burdensome condition.
Persons with social anxiety frequently avoid seeking physician support and rarely receive …

Background The assessment of behaviors related to mental health typically relies on self-
report data. Networked sensors embedded in smartphones can measure some behaviors …

Background Wearable and mobile devices that capture multimodal data have the potential
to identify risk factors for high stress and poor mental health and to provide information to …

Background: Depression is a common, burdensome, often recurring mental health disorder
that frequently goes undetected and untreated. Mobile phones are ubiquitous and have an …

Background There is a critical need for real-time tracking of behavioral indicators of mental
disorders. Mobile sensing platforms that objectively and noninvasively collect, store, and …

Background As online social media have become prominent, much effort has been spent on
identifying users with depressive symptoms in order to aim at early diagnosis, treatment, and …

Depression is a serious mental illness. The symptoms associated with depression are both
behavioral (in appetite, energy level, sleep) and cognitive (in interests, mood …

Depression is a prevalent mental disorder. Current clinical and self-reported assessment
methods of depression are laborious and incur recall bias. Their sporadic nature often …

Smartphones are capable of passively capturing persons' social interactions, movement
patterns, physiological activation, and physical environment. Nevertheless, little research …

Background Research in psychology demonstrates a strong link between state affect
(moment-to-moment experiences of positive or negative emotionality) and trait affect (eg …