International Journal of Human-Computer Studies - Special issue on collaboration, cooperation and conflict in dialogue systems
Persuasive Technology: Using Computers to Change What We Think and Do
Persuasive Technology: Using Computers to Change What We Think and Do
Lessons from a failure: generating tailored smoking cessation letters
Artificial Intelligence
Portia: A User-Adapted Persuasion System in the Healthy-Eating Domain
IEEE Intelligent Systems
Designing empathic computers: the effect of multimodal empathic feedback using animated agent
Proceedings of the 4th International Conference on Persuasive Technology
Using negative and positive social feedback from a robotic agent to save energy
Proceedings of the 4th International Conference on Persuasive Technology
Creating persuasive technologies: an eight-step design process
Proceedings of the 4th International Conference on Persuasive Technology
An empirical study of the influence of user tailoring on evaluative argument effectiveness
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Is it me or is it what i say? source image and persuasion
PERSUASIVE'07 Proceedings of the 2nd international conference on Persuasive technology
Persuasive technology for human well-being: setting the scene
PERSUASIVE'06 Proceedings of the First international conference on Persuasive technology for human well-being
User models for motivational systems: the affective and the rational routes to persuasion
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
Less fizzy drinks: a multi-method study of persuasive reminders
PERSUASIVE'12 Proceedings of the 7th international conference on Persuasive Technology: design for health and safety
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In this paper we investigate whether there is scope for personalizing triggers in the domain of charitable action. The first of our two studies focuses on actions promoting human rights (via Amnesty International). While participants in a previous exploratory study had indicated that victim attributes (such as gender, religion, and ethnicity) would not matter at all, we found when observing participants' actions that in fact these attributes mattered greatly. Participants tended to select victim attributes similar to their own, showing a clear potential for personalization. These findings were corroborated by a further study in the area of charitable giving (using the KIVA micro-financing website). The paper also discusses implications for digital behavior intervention.