Abstract
This paper outlines an approach to describing complexity representation in interactive narratives, in order to understand and evaluate how narrative serious games and similar forms might scaffold cognitive reduction of complexity. We adapt Yoon et al.’s media-agnostic framework for complexity learning to the interactive narrative context. Using the userly text model, we distinguish between first-order (observing) and second-order (enactive) subject positions and the distinct types of knowledge that they afford. The resulting matrix allows us to comparatively describe three components of a complexity triad - complexity in the (story)world, in the artefact and in subjective understanding. This makes it possible to assess and compare differences between the complexity representations within each component and thus evaluate complexity reduction as a function of the distance between the complexity representations within the artefact and within the subject. With this matrix, we begin to address the challenge of interactively narrating complexity as a problem of learning effectiveness, integrating insights from narratology, complexity theory and the learning sciences.
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Notes
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The encoded storyworld is similar to Koenitz’ protostory [25], and differs in its internal abstractions, since the userly text model attempts to also account, through the added strategic abstraction level, for the instantiation of non-narrative discursive strategies and for the potential of a text to shift between different discursive strategies (for example, from chronological recitation to stream of consciousness) in response to patterns of user input. This aspect is particularly relevant for complexity representation in a post-PC landscape because it allows for a description of how different interaction models might be coupled with one encoded storyworld, not just within a single artefact (shifting strategies, but now of interaction), but also across distinct artefacts (as could be the case in a transmedial implementation).
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This research was supported by a grant from the Dutch Creative Industries Fund.
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Knoller, N., Roth, C., Haak, D. (2021). The Complexity Analysis Matrix. In: Mitchell, A., Vosmeer, M. (eds) Interactive Storytelling. ICIDS 2021. Lecture Notes in Computer Science(), vol 13138. Springer, Cham. https://doi.org/10.1007/978-3-030-92300-6_48
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