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A gaze into argumentative chatbots: exploring the influence of challenger arguments on reflection and attention

  • A natural way to resolve different points of view and form opinions is through exchanging arguments and knowledge. Facing the vast amount of available information on the internet, people tend to focus on information consistent with their beliefs. To support a fair and unbiased opinion-building process, we propose an intelligent agent in the form of a chatbot that engages in a deliberative dialogue with a human. In contrast to persuasive systems, the chatbot aims to provide a diverse and representative overview - embedded in a conversation with the user. To account for a reflective and unbiased exploration of the topic, we enable the system to intervene if the user is too focused on their pre-existing opinion. To achieve that, the agent employs a metric to assess the user’s focus on challenger arguments. We report on a user study with 45 participants showing that the intervention significantly affects the user’s focus on challenger arguments. We further report significant main effectsA natural way to resolve different points of view and form opinions is through exchanging arguments and knowledge. Facing the vast amount of available information on the internet, people tend to focus on information consistent with their beliefs. To support a fair and unbiased opinion-building process, we propose an intelligent agent in the form of a chatbot that engages in a deliberative dialogue with a human. In contrast to persuasive systems, the chatbot aims to provide a diverse and representative overview - embedded in a conversation with the user. To account for a reflective and unbiased exploration of the topic, we enable the system to intervene if the user is too focused on their pre-existing opinion. To achieve that, the agent employs a metric to assess the user’s focus on challenger arguments. We report on a user study with 45 participants showing that the intervention significantly affects the user’s focus on challenger arguments. We further report significant main effects of intervention on the user’s attention to crucial areas of the system, and report on multiple interaction effects of user characteristics.show moreshow less

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Metadaten
Author:Klaus WeberORCiDGND, Natalie Hogh, Cristina Conati, Elisabeth AndréORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1230601
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/123060
ISBN:979-8-4007-0625-7OPAC
Parent Title (English):IVA '24: proceedings of the ACM International Conference on Intelligent Virtual Agents, Glasgow, United Kingdom, September 16-19, 2024
Publisher:Association for Computing Machinery (ACM)
Place of publication:New York, NY
Editor:Rachael Jack, Mathieu Chollet, Ruth Aylett, Timothy Bickmore, Stacy Marsella, Gale Lucas
Type:Conference Proceeding
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2025/06/25
First Page:1
DOI:https://doi.org/10.1145/3652988.3673935
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Menschzentrierte Künstliche Intelligenz
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)