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Towards Computational Persuasion via Natural Language Argumentation Dialogues

Hunter, A; Chalaguine, L; Czernuszenko, T; Hadoux, E; Polberg, S; (2019) Towards Computational Persuasion via Natural Language Argumentation Dialogues. In: Proceedings of the Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz) KI 2019: Advances in Artificial Intelligence. (pp. pp. 18-33). Springer, Cham: Kassel, Germany. Green open access

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Abstract

Computational persuasion aims to capture the human ability to persuade through argumentation for applications such as behaviour change in healthcare (e.g. persuading people to take more exercise or eat more healthily). In this paper, we review research in computational persuasion that incorporates domain modelling (capturing arguments and counterarguments that can appear in a persuasion dialogues), user modelling (capturing the beliefs and concerns of the persuadee), and dialogue strategies (choosing the best moves for the persuader to maximize the chances that the persuadee is persuaded). We discuss evaluation of prototype systems that get the user’s counterarguments by allowing them to select them from a menu. Then we consider how this work might be enhanced by incorporating a natural language interface in the form of an argumentative chatbot.

Type: Proceedings paper
Title: Towards Computational Persuasion via Natural Language Argumentation Dialogues
Event: Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz) KI 2019: Advances in Artificial Intelligence.
ISBN-13: 9783030301781
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-30179-8_2
Publisher version: https://doi.org/10.1007/978-3-030-30179-8_2
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Persuasion, Computational models of argument, Chatbots
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/10084920
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