The Mindlab app uses digital phenotypic data collected through wearable devices and smartphones to analyze users' mood, activity, and craving patterns. Based on this, we gain an in-depth understanding of an individual's behavior and psychological state and provide customized insights into the causes of cravings and how to respond.
We also collect background location data to precisely analyze your movement path and activity patterns. This data helps us understand how active and how you move even when you're not using the app, so we can better understand when and under what circumstances your cravings occur. Collected location information is not shared with outside parties and is processed securely with the user's explicit consent.
Digital phenotypic data combines survey responses (current mood, stress, activity, etc.) with superdata collected from wearable devices (activity level, heart rate, etc.) to support craving management and healthy behavior change. The collected digital phenotypic data serves as an important academic foundation in mental health and behavioral research.
- What is a digital phenotype?
It refers to various types of data obtained in real time through various digital devices used in daily life. It includes accelerometer data, number of calls/texts/outgoing logs, sleep patterns, heart rate, etc., and can be used as a useful indicator to evaluate each individual's behavioral/psychological state.