Receptivity to mobile health interventions

Item Type Book Section
Abstract Intervention authors can likely increase the effectiveness of mobile health interventions (MHIs) by determining conditions under which individuals are able to receive, process, and use support. In this chapter, we will therefore first introduce and motivate the relevance of receptivity to MHIs. Second, we will describe the anatomy of an “ideal” MHI before key processes involved in the detection and prediction of receptivity to MHIs are discussed. Thereafter, we will review research on receptivity and summarize factors that may carry relevant signals for determining receptive states and thus, offer guidance for the design of receptivity-capable MHIs. We will conclude with challenges intervention authors and engineers face and offer opportunities for future work.
Authors Keller, Roman; von Wangenheim, Florian; Mair, Jacqueline & Kowatsch, Tobias
Editors Jacobson, Nicholas; Kowatsch, Tobias & Marsch, Lisa
Language English
Keywords Receptivity; Interruptability; Detection; Prediction; Cognitive processing; Mobile health
Subjects computer science
information management
social sciences
behavioral science
health sciences
statistics
HSG Classification contribution to scientific community
HSG Profile Area SoM - Business Innovation
Date 27 September 2022
Publisher Elsevier, Academic Press
Place of Publication Cambridge, MA, USA
Volume 1st Edition
Page Range 65-77
Title of Book Digital Therapeutics for Mental Health and Addiction - The State of the Science and Vision for the Future
ISBN 978-0-323-90045-4
Publisher DOI https://doi.org/10.1016/B978-0-323-90045-4.00006-X
Official URL https://doi.org/10.1016/B978-0-323-90045-4.00006-X
Depositing User Prof. Dr. Tobias Kowatsch
Date Deposited 27 Oct 2022 12:17
Last Modified 27 Oct 2022 12:17
URI: https://www.alexandria.unisg.ch/publications/267712

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Keller, Roman; von Wangenheim, Florian; Mair, Jacqueline & Kowatsch, Tobias: Receptivity to mobile health interventions. In Jacobson, Nicholas; Kowatsch, Tobias & Marsch, Lisa (ed.): Digital Therapeutics for Mental Health and Addiction - The State of the Science and Vision for the Future. Cambridge, MA, USA : Elsevier, Academic Press, 2022, S. 65-77.

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https://www.alexandria.unisg.ch/id/eprint/267712
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