Web Seminar  The role of machine learning in behavior change

Mar. 26, 2020 | 2 PM ET/11 AM PT
Hosted by Employee Benefit News

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.

 

Hulya Emir-Farinas Evelina Nedlund
Hulya Emir-Farinas
Director of Data Science
Fitbit R&D
(Speaker)
Evelina Nedlund
Associate Editor
Employee Benefit News and Employee Benefit Adviser
(Moderator)

Sponsor Content From

Sponsor

Arizent takes your privacy seriously. We collect and use your data only for our own product research, client analytics and to inform you of products and services we think may be of interest to you.
By registering you agree with our Subscription Agreement and Privacy Policy.