The Good, the Bad, and the Missing: Topic Modeling Analysis of User Feedback on Digital Wellbeing Features

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dc.contributor.authorSantiago Walser, Renata
dc.contributor.authorDe Jong, Alexander
dc.contributor.authorRemus, Ulrich
dc.date.accessioned2021-12-24T18:17:11Z
dc.date.available2021-12-24T18:17:11Z
dc.date.issued2022-01-04
dc.description.abstractDigital wellbeing features could potentially help users mitigate unintended effects of IT use such as smartphone addiction. However, knowledge about users’ perceptions of such features is still scarce. To bridge this gap, we applied structural topic modeling to analyze user reviews of 93 digital wellbeing apps from the Google Play Store. Our findings revealed three promising research areas: (1) mitigation mechanisms associated with self-monitoring, goal advancement, and change UI features, (2) the relationship between restrictiveness of block features, user characteristics, and addiction levels, and (3) the association of gamification with other features to promote behavior change. We also highlight the advantages of using structural topic modeling to analyze a large body of app reviews. Finally, we provide developers of digital wellbeing apps with feature requests extracted from the reviews.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2022.762
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/80102
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th 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.subjectDark Sides of Information Technology Use
dc.subjectdigital wellbeing
dc.subjecthuman-computer interaction
dc.subjectonline reviews
dc.subjectsmartphone addiction
dc.subjecttopic modeling
dc.titleThe Good, the Bad, and the Missing: Topic Modeling Analysis of User Feedback on Digital Wellbeing Features
dc.type.dcmitext

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