Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …

The use of digital tools to measure physiological and behavioural variables of potential
relevance to mental health is a growing field sitting at the intersection between computer …

Background Anxiety and depression are the most common mental disorders worldwide.
Owing to the lack of psychiatrists around the world, the incorporation of artificial intelligence …

Background: While preliminary evidence suggests that sensors may be employed to detect
presence of low mood it is still unclear whether they can be leveraged for measuring …

Given the limitations of traditional approaches, wearable artificial intelligence (AI) is one of
the technologies that have been exploited to detect or predict depression. The current …

The delivery of mental health interventions via ubiquitous devices has shown much promise.
A conversational chatbot is a promising oracle for delivering appropriate just-in-time …

Background Uncertainty surrounds the ethical and legal implications of algorithmic and data-
driven technologies in the mental health context, including technologies characterized as …

Personality traits describe individual differences in patterns of thinking, feeling, and
behaving (" between-person" variability). But individuals also show changes in their own …

Background Smartphones provide a low‐cost and efficient means to collect population level
data. Several small studies have shown promise in predicting mood variability from …

Background: Depression and anxiety disorders among the global population have
worsened during the COVID-19 pandemic. Yet, current methods for screening these two …