Item type:Journal Article,

How to Win Arguments

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Weber, Klaus
Rach, Niklas
Minker, Wolfgang
André, Elisabeth

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Springer

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People make decisions every day or form an opinion based on persuasion processes, whether through advertising, planning leisure activities with friends or public speeches. Most of the time, however, subliminal persuasion processes triggered by behavioral cues (rather than the content of the message) play a far more important role than most people are aware of. To raise awareness of the different aspects of persuasion ( how and what ), we present a multimodal dialog system consisting of two virtual agents that use synthetic speech in a discussion setting to present pros and cons to a user on a controversial topic. The agents are able to adapt their emotions based on explicit feedback of the users to increase their perceived persuasiveness during interaction using Reinforcement Learning.

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Weber, Klaus; Rach, Niklas; Minker, Wolfgang; André, Elisabeth (2020): How to Win Arguments. Datenbank-Spektrum: Vol. 20, No. 2. DOI: 10.1007/s13222-020-00345-9. Springer. PISSN: 1610-1995. pp. 161-169

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Adaptive agents, Argumentation, Persuasive dialog system, Subliminal persuasion

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Number of citations to item: 7

  • Klaus Weber, Natalie Hogh, Cristina Conati, Elisabeth Andre (2024): A Gaze into Argumentative Chatbots: Exploring the Influence of Challenger Arguments on Reflection and Attention, In: Proceedings of the ACM International Conference on Intelligent Virtual Agents, doi:10.1145/3652988.3673935
  • Sakshi Arora, Sapna Sinha, Himanshu Monga (2024): Beyond deception, bias and variance empirical perception on winning argument sentiment reception, In: International Journal of Information Technology, doi:10.1007/s41870-024-02280-4
  • Niklas Rach, Klaus Weber, Yuchi Yang, Stefan Ultes, Elisabeth André, Wolfgang Minker (2021): EVA 2.0: Emotional and rational multimodal argumentation between virtual agents, In: it - Information Technology 1(63), doi:10.1515/itit-2020-0050
  • Johannes Kiesel, Damiano Spina, Henning Wachsmuth, Benno Stein (2021): The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases, In: CUI 2021 - 3rd Conference on Conversational User Interfaces, doi:10.1145/3469595.3469615
  • Niklas Rach, Yuki Matsuda, Stefan Ultes, Wolfgang Minker, Keiichi Yasumoto (2021): Estimating Subjective Argument Quality Aspects From Social Signals in Argumentative Dialogue Systems, In: IEEE Access, doi:10.1109/access.2021.3051526
  • Jarod Govers, Eduardo Velloso, Vassilis Kostakos, Jorge Goncalves (2024): AI-Driven Mediation Strategies for Audience Depolarisation in Online Debates, In: Proceedings of the CHI Conference on Human Factors in Computing Systems, doi:10.1145/3613904.3642322
  • Nele Albers, Mark A. Neerincx, Willem-Paul Brinkman (2022): Addressing people’s current and future states in a reinforcement learning algorithm for persuading to quit smoking and to be physically active, In: PLOS ONE 12(17), doi:10.1371/journal.pone.0277295
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