M. Guerini, O. Stock, and M. Zancanaro. Proceedings of the IJCAI Workshop on Computational Models of Natural Argument, Acapulco, Mexico, (Aug 9, 2003)
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.
Proceedings of the IJCAI Workshop on Computational Models of Natural Argument
year
2003
month
August
day
9
posted-at
2005-03-04 12:43:47
priority
0
citeulike-article-id
113871
comment
(private-note)Presents a rule based system for multimodal persuasion dialogue. The authors emphasises that "natural" argumentation is only part of the persuasion process and proposes three types of strategies for planning persuasion: <ul> <li>direct strategies, to induce either a belief or an action</li> <li>Abstract Reasoning strategies, to add constraints on planning direct strategies, like for example the mood of the user</li> <li>Meta Reasoning strategies, to select, modifies and order the other strategies</li> </ul> These strategies use information given by the user model and the context model to plan the persuasion dialogue.
%0 Conference Paper
%1 Guerini03Persuasion
%A Guerini, M.
%A Stock, O.
%A Zancanaro, M.
%B Proceedings of the IJCAI Workshop on Computational Models of Natural Argument
%C Acapulco, Mexico
%D 2003
%E Reed, Chris
%E Grasso, Floriana
%E Carenini, Giuseppe
%K persuasion, phd-bibtex-import
%T Persuasion Models for Intelligent Interfaces
%U http://www.computing.dundee.ac.uk/staff/creed/research/previous/cmna/
%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{Guerini03Persuasion,
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 = {2010-12-17T18:47:41.000+0100},
address = {Acapulco, Mexico},
author = {Guerini, M. and Stock, O. and Zancanaro, M.},
biburl = {https://www.bibsonomy.org/bibtex/2eac791b079c0902c254c5fce028a47cd/mortimer_m8},
booktitle = {Proceedings of the IJCAI Workshop on Computational Models of Natural Argument},
citeulike-article-id = {113871},
citeulike-linkout-0 = {http://www.computing.dundee.ac.uk/staff/creed/research/previous/cmna/},
comment = {(private-note)Presents a rule based system for multimodal persuasion dialogue. The authors emphasises that "natural" argumentation is only part of the persuasion process and proposes three types of strategies for planning persuasion: <ul> <li>direct strategies, to induce either a belief or an action</li> <li>Abstract Reasoning strategies, to add constraints on planning direct strategies, like for example the mood of the user</li> <li>Meta Reasoning strategies, to select, modifies and order the other strategies</li> </ul> These strategies use information given by the user model and the context model to plan the persuasion dialogue.},
day = 9,
editor = {Reed, Chris and Grasso, Floriana and Carenini, Giuseppe},
interhash = {0e01a3534e32c9a087e578c55b7ac772},
intrahash = {eac791b079c0902c254c5fce028a47cd},
keywords = {persuasion, phd-bibtex-import},
month = {August},
posted-at = {2005-03-04 12:43:47},
priority = {0},
timestamp = {2010-12-20T11:11:25.000+0100},
title = {{Persuasion Models for Intelligent Interfaces}},
url = {http://www.computing.dundee.ac.uk/staff/creed/research/previous/cmna/},
year = 2003
}