Technologies are often intended to make people’s lives easier. Many behavioral intervention technologies (BITs), however, require a substantial amount of work on the part of the user. Many applications require intentional effort from the user to input data on a regular basis. This can quickly become burdensome, and often results in people stopping use of applications.
Alternatively, sensor data available from mobile phones offers a potential window into the lives of users with no additional user burden. A growing number of researchers are using these sensor data to construct algorithms that can detect activities, daily rhythms such as sleep patterns, social activity, and mood states. This knowledge offers the potential to create fundamentally new forms of interventions that fit into the fabric of people’s lives by understanding and responding to a user’s state, and gently nudging the person towards better health, mental health, and wellbeing.
To learn more about the technology developed by CBITs that powers this line of inquiry, check out Purple Robot.
Some of our work in this area includes: