GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Social navigation of food recipes
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Six Patterns for Persuasion in Online Social Networks
PERSUASIVE '08 Proceedings of the 3rd international conference on Persuasive Technology
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Detecting professional versus personal closeness using an enterprise social network site
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social comparisons to motivate contributions to an online community
PERSUASIVE'07 Proceedings of the 2nd international conference on Persuasive technology
CRIWG'07 Proceedings of the 13th international conference on Groupware: design implementation, and use
Social networking feeds: recommending items of interest
Proceedings of the fourth ACM conference on Recommender systems
Deriving a recipe similarity measure for recommending healthful meals
Proceedings of the 16th international conference on Intelligent user interfaces
Recommending food: reasoning on recipes and ingredients
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Factors associated with persistent participation in an online diet intervention
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Personalized network updates: increasing social interactions and contributions in social networks
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
An automatic classification system for consumer regulatory focus by analyzing web shopping logs
Proceedings of the 2012 ACM Research in Applied Computation Symposium
Rating Bias and Preference Acquisition
ACM Transactions on Interactive Intelligent Systems (TiiS)
| Hi-index | 0.00 |
Online delivery of lifestyle intervention programs offers the potential to cost effectively reach large cohorts of users with various information and dietary needs. Unfortunately, online systems can fail to engage users in the long term, affecting their ability to sustain positive lifestyle change. In this work we present the initial analysis of a large scale application study of personalized technologies for lifestyle change. We evaluate the stickiness of an eHealth portal which provides individuals with three personalized tools - meal planner, social network feeds, and social comparison - to make change a reality in their lives. More than 5000 Australians took part in a 12 week study and provided solid empirical evidence for how the inclusion of personalized tools can assist and motivate users. Initial results show that the personalized tools boost user interaction with the portal, simplify information access, and assist in motivating users.