Hi there. I have read the paper of Huckvale et al. (2020). It is said that we could use sensor data for monitoring and intervention tailoring. I wonder if you could explain more to me?

No worries.

Thanks for the information.

While today only 1.1% of available mental health apps use sensor data, emerging research explores the potential for sensors and machine learning to help predict relapse, medication response, the impact of environmental factors (such as green space) on mental health, and more. Using location sensors (such as GPS) as a proxy measurement for mobility, or accelerometry as a proxy for physical activity, these digital behavioral signatures can offer new insights into the lived experiences of people with mental ill-health. Pairing these new data with just-in-time responses and interventions on the smartphone can provide a personalized and closed-loop system for assessing and acting.