The Role of Machine Learning in Behavior Change

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.

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CEO
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CFO
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VP of Marketing
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Hulya Emir-Farinas

Director of Data Science
Fitbit

Evelina Nedlund

Associate Editor
Employee Benefits News and Employee Benefits Adviser

Presenter

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CEO
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