Intention is choice with commitment
Artificial Intelligence
Representing and applying knowledge for argumentation in a social context
AI & Society - Special double issue on knowledge, elicitation, representation and application
Recognizing intentions from rejoinders in a Bayesian interactive argumentation system
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
`O Francesca, ma che sei grulla?' Emotions and Irony in Persuasion Dialogues
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Designing Persuasive Dialogue Systems: Using Argumentation with Care
PERSUASIVE '08 Proceedings of the 3rd international conference on Persuasive Technology
Are ECAs More Persuasive than Textual Messages?
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Argumentative human computer dialogue for automated persuasion
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Trusting politicians' words (for persuasive NLP)
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Motivating people in smart environments
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
System Personality and Persuasion in Human-Computer Dialogue
ACM Transactions on Interactive Intelligent Systems (TiiS)
Personalizing triggers for charity actions
PERSUASIVE'13 Proceedings of the 8th international conference on Persuasive Technology
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Eating habits are influenced by emotional factors. Therefore, persuasion to change bad habits should integrate both rational and emotional strategies appropriately. This article describes a prototype system aimed at simulating user-adapted persuasion dialogues in the healthy-eating domain. They describe how they collected and analyzed a corpus of messages in the domain and compared the persuasion strength of alternative strategies in this corpus. Their prototype system reasons about the participant's beliefs to select an appropriate strategy for a given context, and translates the selected strategy into a natural-language, rhetorically coherent text. This article is part of a special issue on argumentation technology.