Abstract
This paper presents a digitally enhanced model of performer–audience communion in an interactive storytelling setting, based on an intelligent prompt system. The audience response is taken into account through emotion detection; the performer decides about her/his attitude towards the audience. The intelligent prompt advises the performer about how to continue the story. The model, named DoPPioGioco (“DoublePlay”), has been implemented as a prototype system, a virtual environment that realizes a feedback loop between the performer and audience.
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Notes
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The GEMEP model also encompasses 5 extra emotion types that don’t fit in the categorial classification (Admiration, Tenderness, Disgust, Contempt, Surprise); they have been omitted from the emotion annotation in DoPPioGioco.
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The authors acknowledge James Ryan for having provided the software for the city simulation.
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Damiano, R., Lombardo, V., Pizzo, A. (2017). Thinning the Fourth Wall with Intelligent Prompt. In: Nunes, N., Oakley, I., Nisi, V. (eds) Interactive Storytelling. ICIDS 2017. Lecture Notes in Computer Science(), vol 10690. Springer, Cham. https://doi.org/10.1007/978-3-319-71027-3_17
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