Abstract
Game design is an expensive and time-consuming process. In this paper we explore the potential of a fully-automatic game design system that uses the scripts from famous action films to generate interactive, text-based, RPGs. We automatically extracted key information such as dialogues, characters, settings, and events from the movie scripts. For level design, we applied a TF-IDF clustering algorithm to determine which scenes could be grouped together as levels. We test a pilot game based on The Adventures of Indiana Jones, in which the player is presented with a series of choices in the form of abstract responses as she guides Indiana Jones to complete his mission successfully. Evaluation of our scene clustering algorithm indicates a high correlation between automatic and gold-standard clusters, while our preliminary user evaluation shows that our approach is promising.
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Munishkina, L., Parrish, J., Walker, M.A. (2013). Fully-Automatic Interactive Story Design from Film Scripts. In: Koenitz, H., Sezen, T.I., Ferri, G., Haahr, M., Sezen, D., C̨atak, G. (eds) Interactive Storytelling. ICIDS 2013. Lecture Notes in Computer Science, vol 8230. Springer, Cham. https://doi.org/10.1007/978-3-319-02756-2_28
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DOI: https://doi.org/10.1007/978-3-319-02756-2_28
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02755-5
Online ISBN: 978-3-319-02756-2
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