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Using Meaningful Choices and Uncertainty to Increase Player Agency in a Cybersecurity Seminar Game

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Games and Learning Alliance (GALA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14475))

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Abstract

The paper proposes an approach to improving player engagement and learning outcomes in seminar-style games, based on emphasizing player agency, meaningful choices, and uncertainty. As a case study, it introduces a game focused on trust in cybersecurity, whose design incorporates resource management, hidden agendas for each player, and a shared failure condition.

The authors would like to thank the NATO Cooperative Cyber Defence Centre of Excellence for their support in running the game.

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Author information

Authors and Affiliations

  1. Tallinn University School of Digital Technologies, Narva mnt. 29, 10120, Tallinn, Estonia

    Peadar Callaghan & Mikhail Fiadotau

Authors
  1. Peadar Callaghan
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  2. Mikhail Fiadotau
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Corresponding author

Correspondence to Peadar Callaghan .

Editor information

Editors and Affiliations

  1. Technological University Dublin, Dublin, Ireland

    Pierpaolo Dondio

  2. Technological University Dublin, Dublin, Ireland

    Mariana Rocha

  3. University of Galway, Galway, Ireland

    Attracta Brennan

  4. Berlin School of Economics and Law, Berlin, Germany

    Avo Schönbohm

  5. CAPTRS, Austin, TX, USA

    Francesca de Rosa

  6. Tampere University, Tampere, Finland

    Antti Koskinen

  7. University of Genova, Genoa, Italy

    Francesco Bellotti

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Callaghan, P., Fiadotau, M. (2024). Using Meaningful Choices and Uncertainty to Increase Player Agency in a Cybersecurity Seminar Game. In: Dondio, P., et al. Games and Learning Alliance. GALA 2023. Lecture Notes in Computer Science, vol 14475. Springer, Cham. https://doi.org/10.1007/978-3-031-49065-1_3

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  • DOI: https://doi.org/10.1007/978-3-031-49065-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49064-4

  • Online ISBN: 978-3-031-49065-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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