Self-nudging Using the Digital Wellbeing App

dc.conference.dateOctober 20–21, 2025
dc.conference.placeMarbella, Spain
dc.conference.title9th International Conference, CHIRA 2025
dc.contributor.authorKrüger, Gustavo
dc.contributor.authorSachdeva, Nikhil
dc.contributor.authorSleboda, Patrycja
dc.contributor.authorZimmermann, Laura
dc.contributor.authorSobolev, Michael
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2026-07-13T08:39:10Z
dc.date.issued2026-05-01
dc.description.abstractDesign of smartphones and their apps can conflict with users’ personal goals and negatively impact well-being, motivating tech companies to develop tools aimed at self-monitoring and altering smartphone usage. This mixed-method study describes the use of self-nudges within Android’s native Digital Wellbeing app as a tool to achieve smartphone usage goals. Students (N = 63) were encouraged to use the Digital Wellbeing app for several weeks, but were given the freedom to select their preferred strategies to curb smartphone usage. Specifically, they could set personal smartphone usage goals and employ features like app ‘Time Limits’, “Grayscale” mode, and “Focus” mode. Results revealed that 58% of participants reported using at least one Digital Wellbeing feature. App time limits were the most utilized, reported by 62.2% of participants, followed by “Do not disturb” mode (43.2%), and “Grayscale” mode (32.4%). Despite this, participants did not rate the Digital Wellbeing app as particularly useful, regardless of whether they used features of the app or not. Participants reported no significant differences in life satisfaction, sleep quality, stress, and happiness before versus after the intervention period. Therefore, self-nudging with the Digital Wellbeing app might not be sufficiently useful and effective due to low engagement and lack of enforcement mechanisms in the app’s tools, which are often bypassed. Based on our findings, we propose implications for future design of digital well being tools, including the integrations of behavioral insights, centering interventions around activity patterns, lowering barriers for uses of those apps, and leveraging machine learning algorithms to adjust intervention strategies over time.
dc.description.peerreviewedYes
dc.description.statusPublished
dc.formatapplication/pdf
dc.identifier.citationKrüger, G., Sachdeva, N., Sleboda, P., Zimmermann, L., & Sobolev, M. (2025, October). Self-nudging Using the Digital Wellbeing App. In International Conference on Computer-Human Interaction Research and Applications (pp. 364-378). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-16448-3_20
dc.identifier.doihttps://doi.org/10.1007/978-3-032-16448-3_20
dc.identifier.isbn978-3-032-16448-3
dc.identifier.officialurlhttps://link.springer.com/chapter/10.1007/978-3-032-16448-3_20
dc.identifier.urihttps://hdl.handle.net/20.500.14417/4420
dc.language.isoeng
dc.page.final378
dc.page.initial364
dc.page.total15
dc.relation.departmentMarketing & Communication
dc.relation.entityIE University
dc.relation.schoolIE Business School
dc.rightsAttribution 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.keywordsNudge
dc.subject.keywordsScreen Time
dc.subject.keywordsSmartphone Overuse
dc.subject.keywordsDigital Addiction
dc.subject.keywordsBehavior Change
dc.subject.odsODS 12 - Producción y consumo responsables
dc.subject.unesco33 Ciencias Tecnológicas
dc.titleSelf-nudging Using the Digital Wellbeing App
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.version.typeinfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication072cc741-f4fb-4115-8cf9-6c26e6da2839
relation.isAuthorOfPublication.latestForDiscovery072cc741-f4fb-4115-8cf9-6c26e6da2839

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