Hadoux, E;
Hunter, A;
(2019)
Comfort or safety? Gathering and using the concerns of a participant for better persuasion.
Argument & Computation
10.3233/AAC-191007.
(In press).
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Abstract
Persuasion is an important and yet complex aspect of human intelligence. When undertaken through dialogue, the deployment of good arguments, and therefore counterarguments, clearly has a significant effect on the ability to be successful in persuasion. A key dimension for determining whether an argument is good is the impact that it has on the concerns of the intended audience of the argument (e.g., the other participant(s) in the dialogue). In this paper, we investigate how we can acquire and represent concerns of a participant, and her preferences over them, and we show how this can be used for selecting good moves in a persuasion dialogue. We provide results from empirical studies showing that: (1) we can gather preferences over types of concern; (2) there is a common understanding of what is meant by concerns; (3) participants tend to make moves according to their preferences; and (4) the persuader can use these preferences to improve the persuasiveness of a dialogue.
Type: | Article |
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Title: | Comfort or safety? Gathering and using the concerns of a participant for better persuasion |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.3233/AAC-191007 |
Publisher version: | https://doi.org/10.3233/AAC-191007 |
Language: | English |
Additional information: | Copyright © 2019 – IOS Press and the authors. This article is published online with Open Access and distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/). |
Keywords: | Dialogical argumentation, persuasion, computational persuasion |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10068888 |




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