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Methods in Digital Mental Health: Smartphone-Based Assessment and Intervention for Stress, Anxiety, and Depression

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Integrating Artificial Intelligence and IoT for Advanced Health Informatics

Part of the book series: Internet of Things ((ITTCC))

Abstract

Technological embeddedness into everyday life and interconnectivity between omnipresent devices, termed the Internet of Things (IoT), have spurned a dedicated research venture in the field of mental health. Recognizing that mental health issues are on an alarming rise, affecting the individual and the society in a progressively multi-faceted nature, and that existing human resources are not sufficient to tackle the crisis, decision-makers have turned to technology to see what opportunities it may offer. More than ever, this endeavor has gained importance due to the COVID-19 pandemic, whose consequences not only severed the already fickle live human contact between the professionals and their patients but also onset a broad mental health crisis stemming from the virus’ impact on health and the implemented measures to control it. The role that IoT-enabled technology plays in this new landscape of digital mental health can be roughly divided into two complementary processes: assessment and intervention. Assessment concerns monitoring, learning about, and recognizing a person’s mental health issues through their physiology, behavior, thinking, emotional and cognitive states, and the context they live in. Intervention follows, and it conforms to the specifics of an assessment, attempting to effect attitude and behavior change in a person. Technology, especially artificial intelligence, enables assessment and intervention to be tailored very specifically to the individual. Omnipresent devices—e.g., smart bracelets—allow increasingly more accurate assessments, which allow not only better interventions but also interventions that can be delivered momentarily—e.g., with an intelligent cognitive assistant on a smartphone—with the continuous interchange of both as the biggest leap forward. Due to the research field still being young and thus not systematized into a coherent framework, even lacking an overview of methods, trends, and directions, this book chapter serves as an early attempt to codify this highly interdisciplinary relationship between technology and mental health.

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Acknowledgements

The authors acknowledge the financial support from the Slovenian Research Agency (research core funding No. P2-0209 and young researchers postgraduate research funding).

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  1. Jožef Stefan Institute & Jožef Stefan International Postgraduate School, Ljubljana, Slovenia

    Tine Kolenik

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Kolenik, T. (2022). Methods in Digital Mental Health: Smartphone-Based Assessment and Intervention for Stress, Anxiety, and Depression. In: Comito, C., Forestiero, A., Zumpano, E. (eds) Integrating Artificial Intelligence and IoT for Advanced Health Informatics. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-91181-2_7

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