Toward an ethics of persuasive technology
Communications of the ACM
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Persuasive Technology: Using Computers to Change What We Think and Do
Persuasive Technology: Using Computers to Change What We Think and Do
Proceedings of the 4th International Conference on Persuasive Technology
The Behavior Grid: 35 ways behavior can change
Proceedings of the 4th International Conference on Persuasive Technology
Active learning with statistical models
Journal of Artificial Intelligence Research
Means based adaptive persuasive systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Tune in to your emotions: a robust personalized affective music player
User Modeling and User-Adapted Interaction
Adaptive Persuasive Systems: A Study of Tailored Persuasive Text Messages to Reduce Snacking
ACM Transactions on Interactive Intelligent Systems (TiiS)
The voluntariness of persuasive technology
PERSUASIVE'12 Proceedings of the 7th international conference on Persuasive Technology: design for health and safety
Personalised eco-feedback as a design technique for motivating energy saving behaviour at home
Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design
Proceedings of the 6th International Conference on Persuasive Technology: Persuasive Technology and Design: Enhancing Sustainability and Health
Viewing and controlling personal sensor data: what do users want?
PERSUASIVE'13 Proceedings of the 8th international conference on Persuasive Technology
Three approaches to ethical considerations in the design of behavior change support systems
PERSUASIVE'13 Proceedings of the 8th international conference on Persuasive Technology
Using log-data as a starting point to make ehealth more persuasive
PERSUASIVE'13 Proceedings of the 8th international conference on Persuasive Technology
Personal and Ubiquitous Computing
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Interactive persuasive technologies can and do adapt to individuals. Existing systems identify and adapt to user preferences within a specific domain: e.g., a music recommender system adapts its recommended songs to user preferences. This paper is concerned with adaptive persuasive systems that adapt to individual differences in the effectiveness of particular means, rather than selecting different ends. We give special attention to systems that implement persuasion profiling — adapting to individual differences in the effects of influence strategies. We argue that these systems are worth separate consideration and raise unique ethical issues for two reasons: (1) their end-independence implies that systems trained in one context can be used in other, unexpected contexts and (2) they do not rely on — and are generally disadvantaged by — disclosing that they are adapting to individual differences. We use examples of these systems to illustrate some ethically and practically challenging futures that these characteristics make possible.