Abstract
In this project, we introduce finite state machines as a way to simultaneously connect an audience’s input with performer output during a live performance. Our approach is novel in that we can redefine the traditional notion of an author, by dividing and balancing the responsibilities for creating and developing emergent narrative between three elements: the audience, finite state machines, and the performers. This also allows audience members a large degree of freedom to input into the system, as we can consider audience inaction as a form of productive action. We have developed the Data Generation Engine (DGE), software that generates data to be used by performers for creating and developing narrative and to provide audiences with opportunities to manipulate the DGE’s data generation and distribution mechanisms. We argue that using this approach in a live theatre context allows a consistent narrative to emerge while giving the audience the freedom to engage in the narrative without disrupting the performance.
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The work is supported by Paper Dove Company Ltd. and the Intensive Industrial Innovation Programme European Regional Development fund.
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Green, C.P., Holmquist, L.E., Gibson, S. (2020). Towards the Emergent Theatre: A Novel Approach for Creating Live Emergent Narratives Using Finite State Machines. In: Bosser, AG., Millard, D.E., Hargood, C. (eds) Interactive Storytelling. ICIDS 2020. Lecture Notes in Computer Science(), vol 12497. Springer, Cham. https://doi.org/10.1007/978-3-030-62516-0_8
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