In this project, two main research objectives will be investigated. In the first one, new approaches to monitor and interpret health-related behavior characteristics on a large-scale basis are investigated in order to overcome the state of the art limitations of today’s research prototype systems and to enable powerful data-rich systems. The second objective on persuasive recommender systems deals with new approaches to advance the feedback loop to the user by providing objective evidence on the effectiveness of healthy behavior change.
Funding Institution:
Tübitak / Marie-Curie
Principal Investigator / Project Partner:
Bert Arnrich
Date:
2013 to 2015
Project Code:
112C005