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Player State and Diagnostics in Adaptive Serious Games. Suggestions for Modelling the Adversarial Contradiction

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Adaptive Instructional Systems (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13332))

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Abstract

The premises of theories about Adaptive Serious Games are analyzed. Monistic approaches, which assume a determinacy of humans, and dualistic approaches, in which the ability of humans to self-determine is central, are contrasted. With reference to the concept of Digital Humanism, approaches that focus on the human’s ability to self-determine are given preference. With this perspective, existing approaches to Adaptive Serious Games are discussed and suggestions for further development are made. The focus is on the adaptability of adaptive systems. This can be achieved in particular by suitable configuration options and an editor, with which players can determine the adaptivity of an adaptive serious game themselves.

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Correspondence to Christian Swertz .

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Swertz, C. (2022). Player State and Diagnostics in Adaptive Serious Games. Suggestions for Modelling the Adversarial Contradiction. In: Sottilare, R.A., Schwarz, J. (eds) Adaptive Instructional Systems. HCII 2022. Lecture Notes in Computer Science, vol 13332. Springer, Cham. https://doi.org/10.1007/978-3-031-05887-5_3

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  • DOI: https://doi.org/10.1007/978-3-031-05887-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05886-8

  • Online ISBN: 978-3-031-05887-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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