There is no one-size-fits-all solution to health behavior change. Some people only change behavior if it is presented in the form of a game, others respond to social interactions. At Fitbit R&D, we are interested in answering some fundamental questions:
- What motivates a person to lead a healthier life?
- What is a real or perceived barrier for change?
- How can Fitbit help increase users' ability to make changes?
Answering these questions requires a multi-disciplinary approach. We take advantage of health science, behavior science, behavioral economics, and machine learning to deliver interventions. In this webinar, we will review how machine learning is a key capability in making any solution smart and more personalized.