As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
As the world becomes increasingly digitally readable through a variety of sensors, digital services will play a key role in advising and supporting people towards a variety of goals. In this paper, we present a personalized wellness system that leverages techniques from cognitive science and machine learning to improve a user's well-being by suggesting daily micro-goals (e.g., “bring a healthy snack to work”), and by enabling social sharing of individual achievements. Specifically, we propose a method for estimating a user's likelihood of successfully completing a given micro-goal (“ONE”) and study the correlation between ONEs and users' actions to improve their chances of reaching their wellness objectives.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.