Behavior Change Techniques in Digital Interventions for Health Behavior Change: A Taxonomy of Popular Mobile Applications

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dc.contributor.author Meywirth, Sophia
dc.contributor.author Söllner, Matthias
dc.date.accessioned 2023-12-26T18:40:34Z
dc.date.available 2023-12-26T18:40:34Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other 770c7e08-9c2b-467b-b57a-3b21621d81aa
dc.identifier.uri https://hdl.handle.net/10125/106803
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Health Behavior Change Support Systems
dc.subject health behavior change
dc.subject mobile behavior change interventions
dc.subject persuasive systems
dc.subject taxonomy
dc.title Behavior Change Techniques in Digital Interventions for Health Behavior Change: A Taxonomy of Popular Mobile Applications
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract Health behavior change interventions can support individuals in establishing habits beneficial to their health. Hence, they can help to prevent diseases and reduce mortality caused by unhealthy behaviors. The delivery of such interventions through mobile phones is promising. We developed a taxonomy of popular mobile applications for health behavior change, identifying the intervention’s aim and applied behavior change techniques. We classified 63 popular mobile applications according to our taxonomy. Thereby identifying the most prevalent behavior change techniques and combinations of the application’s aim and applied behavior change techniques. This result can be used to inform the design of future applications.
dcterms.extent 9 pages
prism.startingpage 3474
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