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

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dc.contributor.authorMeywirth, Sophia
dc.contributor.authorSöllner, Matthias
dc.date.accessioned2023-12-26T18:40:34Z
dc.date.available2023-12-26T18:40:34Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.420
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other770c7e08-9c2b-467b-b57a-3b21621d81aa
dc.identifier.urihttps://hdl.handle.net/10125/106803
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectHealth Behavior Change Support Systems
dc.subjecthealth behavior change
dc.subjectmobile behavior change interventions
dc.subjectpersuasive systems
dc.subjecttaxonomy
dc.titleBehavior Change Techniques in Digital Interventions for Health Behavior Change: A Taxonomy of Popular Mobile Applications
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractHealth 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.extent9 pages
prism.startingpage3474

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