%0 Conference Paper %1 GueriniStockZancanaro03CMNA %A Guerini, Marco %A Stock, Oliviero %A Zancanaro, Massimo %B Proceedings of IJCAI-03 Third Workshop on Computational Models of Natural Argument, Acapulco, Mexico %D 2003 %K 01624 paper ai user dialog interface language processing social interaction emotion adaptive assist zzz.hci %T Persuasion Models for Intelligent Interfaces %X Future intelligent interfaces will have contextual goals to pursue. As opposed to more traditional scenarios of Human Computer Interaction, the user interface may also aim at inducing the user, or in general the audience, to perform some actions in the real world. Some scenarios of application are dynamic advertisement, preventive medicine, social action and edutainment. In this prospect we are investigating persuasion mechanisms and how these are connected to other related concepts such as natural argumentation. In modelling persuasion we distinguish argumentation as a subpart of it, because persuasion is also concerned with a-rational elements. We take a cognitive approach, considering the state of the participants on the basis of their beliefs-desires-intentions, but also their social relations, their emotions and the context of interaction. In this paper we propose a taxonomy of persuasive strategies and a metareasoning model that works on this taxonomy. In this paper the focus is on the high level planning of the proposed system: how it is structured and how it is combined with the adoption of appropriate rhetorical strategies (and other elements such as lexical choice) for producing an effective and context-adapted message. The approach is also at the basis of multimodal developments.

@inproceedings{GueriniStockZancanaro03CMNA, abstract = {Future intelligent interfaces will have contextual goals to pursue. As opposed to more traditional scenarios of Human Computer Interaction, the user interface may also aim at inducing the user, or in general the audience, to perform some actions in the real world. Some scenarios of application are dynamic advertisement, preventive medicine, social action and edutainment. In this prospect we are investigating persuasion mechanisms and how these are connected to other related concepts such as natural argumentation. In modelling persuasion we distinguish argumentation as a subpart of it, because persuasion is also concerned with a-rational elements. We take a cognitive approach, considering the state of the participants on the basis of their beliefs-desires-intentions, but also their social relations, their emotions and the context of interaction. In this paper we propose a taxonomy of persuasive strategies and a metareasoning model that works on this taxonomy. In this paper the focus is on the high level planning of the proposed system: how it is structured and how it is combined with the adoption of appropriate rhetorical strategies (and other elements such as lexical choice) for producing an effective and context-adapted message. The approach is also at the basis of multimodal developments.}, added-at = {2017-05-20T15:34:53.000+0200}, author = {Guerini, Marco and Stock, Oliviero and Zancanaro, Massimo}, biburl = {https://www.bibsonomy.org/bibtex/27c36effeaefcde88ad8f0801cb8c9435/flint63}, booktitle = {Proceedings of IJCAI-03 Third Workshop on Computational Models of Natural Argument, Acapulco, Mexico}, file = {Workshop Site:2000-04/GueriniStockZancanaro03CMNA.pdf:PDF}, groups = {public}, interhash = {0e01a3534e32c9a087e578c55b7ac772}, intrahash = {7c36effeaefcde88ad8f0801cb8c9435}, keywords = {01624 paper ai user dialog interface language processing social interaction emotion adaptive assist zzz.hci}, timestamp = {2017-07-13T18:05:18.000+0200}, title = {Persuasion Models for Intelligent Interfaces}, username = {flint63}, year = 2003 }