Making the MOST out of smartphone opportunities for mental health

Abstract

Modern smartphones come equipped with an array of sensors, and the data from these sensors can be collected to obtain contextual and behavioural information about the phone user. Furthermore, the interesting idea that analysed patterns in this data can indicate psychological conditions or states has gained attention in recent years. In this paper we discuss some incipient work on bringing therapy components from the MOST (moderated online social therapy) web platform into a mobile system that delivers personalised real-time therapy recommendations based on such smartphone sensing information.