FinerMe: Examining App-level and Feature-level Interventions to Regulate Mobile Social Media Use

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Many digital wellbeing tools help users monitor and control social media use on their smartphones by tracking and setting limits on their usage time. Tracking is typically done at the granularity of phone- or app-level; however, recent social media apps provide various features such as direct messaging, comment reading/posting, and content uploading/viewing. While it is possible to track and analyze within-app feature usage, little is known about the effect of granularity on smartphone interventions. We designed and developed FinerMe to explore how the granularity of interventions (app-level vs. feature-level) affects the usage of popular social media such as Instagram and YouTube on smartphones. We conducted a field study with 56 participants over 16 days that consisted of three phases: baseline collection, self-reflection, and self-reflection with restrictive interventions. The results showed that while both app-level and feature-level interventions similarly reduced social media use, feature-level interventions enabled users to spend less time on passive app features related to content consumption (e.g., following feed on Instagram, and viewing comments on YouTube) than app-level interventions. Moreover, when self-reflection is combined with restrictive interventions at the feature-level, users were more reflective on their usage behavior than when done at the app-level.
Publisher
Association for Computing Machinery
Issue Date
2023-10
Language
English
Article Type
Article
Citation

Proceedings of the ACM on Human-Computer Interaction, v.7, no.CSCW2

ISSN
2573-0142
DOI
10.1145/3610065
URI
http://hdl.handle.net/10203/314154
Appears in Collection
ID-Journal Papers(저널논문)CS-Journal Papers(저널논문)EE-Journal Papers(저널논문)
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