Abstract
In this work, we introduce BEA, an argumentative Dialogue System that assists the user in his or her opinion forming regarding a certain controversial topic. To this end, we establish an opinion model based on weighted bipolar argumentation graphs that allows the system to infer the influence of preferences expressed by the user on all related aspects and is updated by the system in real time during the interaction. The system and the model are tested and discussed by use of an argument structure consisting of 72 components in a proof of principal scenario, showing a high sensitivity of the employed model regarding the expressed preferences.
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Notes
- 1.
https://idebate.org/debatabase (last accessed 09 January 2018). Material reproduced from www.iedebate.org with the permission of the International Debating Education Association. Copyright © 2005 International Debate Education Association. All Rights Reserved.
- 2.
For the sake of simplicity we define this argument as the Major Claim of this subdialogue.
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Acknowledgements
This work has been funded by the Deutsche Forschungsgemeinschaft (DFG) within the project “How to Win Arguments - Empowering Virtual Agents to Improve their Persuasiveness”, Grant Number 376696351, as part of the Priority Program “Robust Argumentation Machines (RATIO)” (SPP-1999).
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Aicher, A., Rach, N., Minker, W., Ultes, S. (2021). Opinion Building Based on the Argumentative Dialogue System BEA. In: Marchi, E., Siniscalchi, S.M., Cumani, S., Salerno, V.M., Li, H. (eds) Increasing Naturalness and Flexibility in Spoken Dialogue Interaction. Lecture Notes in Electrical Engineering, vol 714. Springer, Singapore. https://doi.org/10.1007/978-981-15-9323-9_27
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