5 papers · 1 filter
Beyond Screen Time: Demonstrating the Value of App Activity Logs to Understand User Behavior Further
Ole Schmitt, Pauline Gieseler, Frederik Riedel +4
Research on smartphone use remains fragmented, with studies differing in measures, methods, and platforms, limiting what we know about everyday behavior. We argue that event-level…
The CAST-framework: Measure and model social media use as a multi-level phenomenon through real-world applications
David Grüning, Jasper Doeninghaus, Zina Efchary +8
Designing social media experiences that support well-being requires understanding when, how, and for whom use matters. Screen-time totals omit content and context, and connecting t…
How do people plan digitally: An in-the-wild investigation of task planning through a smartphone app
Srija Halder, Isabella Zimmermann, Linnea Körte +3
Daily planning supports goal attainment and productivity, and people increasingly delegate it to digital tools. Plans are postponed, revised, and left unresolved rather than execut…
Filtering Offensive Content Changes Its Visibility but Not User Behavior: Two Randomized Controlled Trials with 200,000 Users on Nextdoor
David J. Grüning, Matthew Katsaros
We investigate the effectiveness of interventions that reduce the visibility of offensive content on the local social platform Nextdoor. Content filtering -- hiding or downranking…
The ABC of digital health: A framework for translating digital health interventions into real-world applications
David Grüning, Vincent Beermann, Jan Enkmann +3
Research-based digital health interventions are often presented as potential solutions for extending health care in the real world. Yet the vast majority of these interventions fai…