EARS Mobile Sensing vs BiAffect3

The Effortless Assessment Research System (EARS) is a behavioral research tool developed by Ksana Health. EARS is intended to be used by individuals who have consented to participate in one of EARS' ongoing research studies. Mobile devices have 
a lot to say about behavioral health. Giving behavioral health researchers access to your digital information helps them study patterns in behavior. Information gathered can be used to better support mental and behavioral health and can help solve mental health challenges. Ksana Health builds digital research tools with a focus to improve mental health, especially amongst underserved group and young people. Ksana keeps your digital data safe and does not sell it to anyone or use it to target you with advertising. Our Ethics Committee ensures that: - You agree with how your data is used - Ksana keeps your data safe - Benefits of the research outweigh any risk - Easily opt out at any time. Research data collected with EARS: - Accelerometer - GPS, for general mobility, habits, and patterns - Keyboard usage for sentiment. - Music and media listening, including musical and affective qualities of songs - Battery state and charging time - Call Status - Screen Time Device Usage - Sleep data through HealthKit EARS was selected as part of The Opportunity Project, an initiative focused on using open data to improve the lives of American citizens.

BiAffect3 is the new and improved version of our award-winning BiAffect app, part of a multi-year mood-tracking research project developed by researchers at the University of Illinois at Chicago and funded by the National Institute of Mental Health. BiAffect3 • Track your mood and neurocognitive functioning with your iPhone. • Use keystroke dynamics and sensor data to gain insights into your mental health. • Help researchers develop new tools to improve the diagnosis and treatment of mood disorders. How does it work? BiAffect3 uses a custom-built virtual smartphone keyboard to collect keystroke metadata—such as typing speed, errors, and pauses—but not typed content in order to preserve user privacy. This data is then analyzed using machine learning algorithms and other statistical techniques to identify patterns that are associated with different mood states. Who is BiAffect3 for? BiAffect3 is for anyone who is interested in tracking their mood and neurocognitive functioning. The app is particularly useful for people with mood disorders as it can help them to identify early warning signs of an episode and take steps to prevent it, but it can be used by anyone who wants to learn more about their individual emotional and thought patterns. How do I get started? To get started with BiAffect3, simply download the app and create an account. The app will then guide you through the setup process. How can I help? By participating in the BiAffect3 study, you can help researchers develop new tools to improve the diagnosis and treatment of bipolar disorder. Your participation is voluntary and confidential. Download BiAffect3 today and start tracking your mood and neurocognitive functioning.