A significant recent technological development concerns the automation of knowledge and
service work as a result of advances in Artificial Intelligence (AI) and its sub-fields. We use …

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 …

Machine learning (ML) is now a fairly established technology, and user experience (UX)
designers appear regularly to integrate ML services in new apps, devices, and systems …

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

Correlation analysis is an extensively used technique that identifies interesting relationships
in data. These relationships help us realize the relevance of attributes with respect to the …

Background: Several studies have recently reported on the correlation between objective
behavioral features collected via mobile and wearable devices and depressive mood …

Prior research has recently shown that passively collected sensor data collected within the
contexts of persons daily lives via smartphones and wearable sensors can distinguish those …

Background: Mobile Therapeutic Attention for Patients with Treatment-Resistant
Schizophrenia (m-RESIST) is an EU Horizon 2020-funded project aimed at designing and …

The rate of depression in college students is rising, which is known to increase suicide risk,
lower academic performance and double the likelihood of dropping out of school. Existing …

Background: Depression levels in adolescents have trended upward over the past several
years. According to a 2020 survey by the National Survey on Drug Use and Health, 4.1 …