Health conditions, encompassing both physical and mental aspects, hold an influence that
extends beyond the individual. These conditions affect personal well-being, relationships …

Passive non-invasive sensing signals from wearable devices and smartphones are typically
collected continuously without user input. This passive and continuous data collection …

Background Previous studies investigating environmental and behavioral drivers of chronic
disease have often had limited temporal and spatial data coverage. Smartphone-based …

Digital health technology has been widely applied to mental health interventions worldwide.
Using digital phenotyping to identify an individual's mental health status has become …

Positive psychology (PP) is in its third wave, evolving towards an interdisciplinary study of
wellbeing. This article proposes computational positive psychology (CPP) as an emerging …

In this perspective paper, we propose a novel tech-driven method to evaluate body
representations (BRs) in autistic individuals. Our goal is to deepen understanding of this …

Understanding the intricate dynamics of emotions in daily life is crucial, both from a scientific
and clinical perspective. Yet, obtaining a good picture of these emotion dynamics is …

Background The growing concern on adolescent mental health calls for proactive early
detection and intervention strategies. There is a recognition of the link between digital …

This study provides evidence that personality can be reliably predicted from activity data
collected through mobile phone sensors. Employing a set of well informed indicators …

Since the 2000s, the term “disruptive technology” has become often used in the medical and
healthcare fields to refer to technologies that disrupt existing systems and transform them …