Chalaguine, LA;
Hunter, A;
(2020)
A persuasive chatbot using a crowd-sourced argument graph and concerns.
In:
Computational Models of Argument.
(pp. pp. 9-20).
IOS Press
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Abstract
Chatbots are versatile tools that have the potential of being used for computational persuasion where the chatbot acts as the persuader and the human agent as the persuadee. To allow the user to type his or her arguments, as opposed to selecting them from a menu, the chatbot needs a sufficiently large knowledge base of arguments and counterarguments. And in order to make the user change their current stance on a subject, the chatbot needs a method to select persuasive counterarguments. To address this, we present a chatbot that is equipped with an argument graph and the ability to identify the concerns of the user argument in order to select appropriate counterarguments. We evaluate the bot in a study with participants and show how using our method can make the chatbot more persuasive.
Type: | Proceedings paper |
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Title: | A persuasive chatbot using a crowd-sourced argument graph and concerns |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.3233/FAIA200487 |
Publisher version: | https://doi.org/10.3233/FAIA200513 |
Language: | English |
Additional information: | This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). See: https://creativecommons.org/licenses/by-nc/4.0/deed.en_US |
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/10113512 |




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