Automatic personalization based on Web usage mining
Communications of the ACM
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Persuasive Technology: Using Computers to Change What We Think and Do
Persuasive Technology: Using Computers to Change What We Think and Do
Social Navigation Support for Information Seeking: If You Build It, Will They Come?
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
The adaptive web: methods and strategies of web personalization
The adaptive web: methods and strategies of web personalization
Modelling a receiver's position to persuasive arguments
PERSUASIVE'07 Proceedings of the 2nd international conference on Persuasive technology
Persuasive recommendation: serial position effects in knowledge-based recommender systems
PERSUASIVE'07 Proceedings of the 2nd international conference on Persuasive technology
Recommender algorithms in activity motivating games
Proceedings of the fourth ACM conference on Recommender systems
Technology adds new principles to persuasive psychology: evidence from health education
PERSUASIVE'06 Proceedings of the First international conference on Persuasive technology for human well-being
Physical Activity Motivating Games: Be Active and Get Your Own Reward
ACM Transactions on Computer-Human Interaction (TOCHI)
Contextualise! personalise! persuade!: a mobile HCI framework for behaviour change support systems
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
Rating Bias and Preference Acquisition
ACM Transactions on Interactive Intelligent Systems (TiiS)
A foundation for the study of behavior change support systems
Personal and Ubiquitous Computing
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Personalized technologies aim to enhance user experience by taking into account users’ interests, preferences, and other relevant information. Persuasive technologies aim to modify user attitudes, intentions, or behavior through computer-human dialogue and social influence. While both personalized and persuasive technologies influence user interaction and behavior, we posit that this influence could be significantly increased if the two technologies were combined to create personalized and persuasive systems. For example, the persuasive power of a one-size-fits-all persuasive intervention could be enhanced by considering the users being influenced and their susceptibility to the persuasion being offered. Likewise, personalized technologies could cash in on increased success, in terms of user satisfaction, revenue, and user experience, if their services used persuasive techniques. Hence, the coupling of personalization and persuasion has the potential to enhance the impact of both technologies. This new, developing area clearly offers mutual benefits to both research areas, as we illustrate in this special issue.