Diegetization: An Approach for Narrative Scaffolding in Open-World Simulations for Training
Abstract
The use of storytelling for learning is widely approved and encouraged. Yet, in virtual environments for training, there are difficul-ties to build a story when there is no global control over the course of events. We present in this paper an approach called diegetization. Sup-ported by structuralist narrative theories, this approach aims to dynam-ically match a sequence of events with sequence of narrative patterns. The pedagogical prescriptions are then extended to consolidate the rec-ognized narrative sequences. The process uses semantic models to benefit from pattern matching algorithm and deep inferences. The proposition was implemented in the Humans platform and applied to a scenario for training in high-risk activities.
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