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Typologies of Persuasive Strategies and Content: A Formalization Using Argumentation

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Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection (PAAMS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12946))

Abstract

Persuasion is an active research topic in artificial intelligence (AI), human-computer interaction (HCI), and social sciences. When persuasive technology has been designed, some HCI guidelines have commonly used disregarding the current AI state of the art, for example, ignoring autonomy and proactive AI behavior. In this paper, a systematic review of HCI persuasive strategies and their corresponding content is mapped to a formal AI approach using argumentation theory. We also present experimental results using as context a mobile application for behavior change in the Swedish context.

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Notes

  1. 1.

    http://rqda.r-forge.r-project.org.

  2. 2.

    TweetyProject acceded on April 2021 https://tweetyproject.org/.

  3. 3.

    Ionic acceded on April 2021 https://ionicframework.com.

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Acknowledgment

Research was supported by Forte, the Swedish Research Council for Health, Working Life and Welfare, which supports the STAR-C project during 2019–2024 (Dnr. 2018-01461).

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Authors and Affiliations

  1. Department of Computing Science, Umeå University, Umeå, Sweden

    Esteban Guerrero & Helena Lindgren

Authors
  1. Esteban Guerrero
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  2. Helena Lindgren
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Corresponding author

Correspondence to Esteban Guerrero .

Editor information

Editors and Affiliations

  1. Umeå University, Umeå, Sweden

    Frank Dignum

  2. Universidad de Salamanca, Salamanca, Salamanca, Spain

    Juan Manuel Corchado

  3. University of Salamanca, Salamanca, Spain

    Fernando De La Prieta

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Guerrero, E., Lindgren, H. (2021). Typologies of Persuasive Strategies and Content: A Formalization Using Argumentation. In: Dignum, F., Corchado, J.M., De La Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Lecture Notes in Computer Science(), vol 12946. Springer, Cham. https://doi.org/10.1007/978-3-030-85739-4_9

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  • DOI: https://doi.org/10.1007/978-3-030-85739-4_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85738-7

  • Online ISBN: 978-3-030-85739-4

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