PixelPanic is a research-based health management app that uses digital phenotypic data collected through wearable devices and smartphones to analyze users' mood, activity, anxiety and depression patterns.
Based on AI technology and data, we provide in-depth understanding of individual behavior and psychological state, identify causes of anxiety and depression, and provide customized insights.
Key features:
- Digital phenotypic data analysis:
It combines survey responses (mood, stress, activity, etc.) with data collected from wearable devices (heart rate, sleep patterns, etc.) to provide a comprehensive assessment of your mental health.
- Supports healthy behavior change:
Based on data, we provide customized feedback and insights to help users maintain healthier behavior patterns.
- Research and academic use:
The data collected serves as an academic foundation in the fields of mental health and behavioral research.
What is a digital phenotype?
Digital phenotype refers to data obtained in real time through digital devices used in everyday life.
- Data included: accelerometer data, call/text count/outgoing log, sleep pattern, heart rate, etc.
- This data is used as a useful indicator to evaluate each individual's behavior and psychological state.
PixelPanic provides comprehensive analysis of users' mental health and provides valuable data to medical institutions and researchers. The app aims to improve mental health through the use of research-based data as well as health management.
Guide to using background location information
PixelPanic collects background location data every 15 minutes with your explicit consent in order to precisely analyze your movement path and activity data.
This feature enables tracking of consistent activity patterns and state changes even when the user is not using the app.
It is analyzed along with biometric data collected through wearable devices (e.g. heart rate, sleep patterns, etc.) and used to explore the relationship with anxiety and depressive symptoms.
Collected location information is not shared externally and is safely stored and processed only for analysis and research purposes.
Users can change or revoke location permissions at any time through in-app settings, and how data is processed is clearly outlined in the privacy policy.