With this app, you can participate in the KiQuNu study. This study aims to investigate whether it's possible to predict problematic smartphone use and smartphone addiction by analyzing smartphone usage data (e.g., screen time, activations, physical activity, time of day).

By participating in this study, you'll be making a valuable contribution to all those affected. Your experiences will help researchers identify online addiction earlier – so that those affected can get help faster. Together, we can improve prevention.

ABOUT US
detoxi Health GmbH is an e-health company based in Berlin. We help people develop a healthy relationship with digital media.

OFFIS – Institute for Computer Science (OFFIS), an affiliated institute of the University of Oldenburg, researches new forms of computer-aided information processing in hardware and software systems.

DATA PROTECTION
We comply with the provisions of the GDPR and the German Federal Data Protection Act. In any case, personal data remains in Germany – protected by the legal requirements for data protection.

The processing of the collected data takes place exclusively within the scope of this study. All data is processed anonymously or pseudonymously. The collected data cannot be linked to you personally.

FUNDING
This study is funded by the Innovation Program for Business Models and Pioneering Solutions of the Federal Ministry for Economic Affairs and Energy.

STUDY INFORMATION
Gauss, B., Caspari, F., Wagener, N. & Iyer, S. (2026). Machine learning-based detection of problematic smartphone usage patterns in adults using passive mobile sensing and self-report data. https://doi.org/10.17605/OSF.IO/9UT8B

FOR RESEARCHERS
With the KiQuNu app, you gain access to precise, scientifically sound data – suitable for large-scale field studies. If you would like to use the KiQuNu app for your research purposes, please contact us.