Abstract
Recently, the need for scenarios is increasing due to the increasing number of large-scale games, and the development of an automatic plot generation framework is needed to reduce a scenario writer’s workload. In previous studies, the main focus was to output the complete scenario from scratch. However, there is a problem in that the story does not have a degree of freedom and loses diversity, which is needed to avoid the breakdown of a story. In this study, we aim to generate stories with a high degree of freedom without any breakdown. We regard a story as a hierarchical structure and use a structural theory method to gradually generate the scenario. We performed an evaluation experiment where we generated the plot, which is the first stage of scenario generation, automatically using the thirteen-phase theory, which is a type of scenario structure. The results of the evaluation demonstrate that it was possible to automatically generate something close to a plot created by a scenario writer.
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Kaneko, M.: Golden Law of Scenario Writing: Making Content Interesting. Born Digital (2011)
Field, S.: Screenplay: The Foundations of Screenwriting. Delta Book (1979)
Bates, J.: Virtual reality, art, and entertainment. Presence Teleoperators Virtual Environ. 1(1), 133–138 (1992)
Mateas, M., Stern, A.: Facade: an experiment in building a fully-realized interactive drama. In: Game Developers Conference, Game Design Track (2003)
Thue, D., Bulitko, V., Spetch, M., Wasylishen, E.: Interactive storytelling: a player modelling approach. In: AIIDE 2007, Stanford, California (2007)
Magerko, B.: Player modeling in the interactive drama architecture, Ph.D. dissertation, The Department of Computer Science and Engineering, University of Michigan (2006)
Amos-Binks, A., Potts, C., Michael Young, R.: Planning graphs for efficient generation of desirable narrative trajectories. In: The AIIDE-2017 Workshop on Intelligent Narrative Technologies (2017)
Guzdial, M., Harrison, B., Li, B., Riedl, M.O.: Crowdsourcing open interactive narrative. In: FDG 2015 (2015)
Li, B., Lee-Urban, S., Johnston, G., Riedl, M.O.: Story generation with crowdsourced plot graphs. In: AAAI 2013 (2013)
Feng, D., Carstensdottir, E., Carnicke, S.M., El-Nasr, M.S., Marsella, S.: An active analysis and crowd sourced approach to social training. In: Nack, F., Gordon, A.S. (eds.) ICIDS 2016. LNCS, vol. 10045, pp. 156–167. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-48279-8_14
Martin, L.J., et al.: Event representations for automated story generation with deep neural nets. In: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (2017)
Bangsø, O., Jensen, O.G., Jensen, F.V., Andersen, P.B., Kocka, T.: Non-linear interactive storytelling using object-oriented Bayesian networks. In: Proceedings of the International Conference on Computer Games: Artificial Intelligence, Design and Education (2004)
Fairclough, C.: Story games and the OPIATE system, Ph.D. dissertation, University of Dublin - Trinity College (2004)
Kawagoe, S., Ueno, M., Isahara, H.: A study on the efficiency of creating stories by the use of templates. In: 2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA). IEEE (2015)
Katsui, T., Ueno, M., Isahara, H.: A creation support system to manage the story structure based on template sets and graph. In: The 31st Annual Conference of the Japanese Society for Artificial Intelligence (2017)
Propp, V.: Morphology of the Folktale, Leningrad (1928)
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Kawano, Y., Takaya, E., Yamanobe, K., Kurihara, S. (2018). Automatic Plot Generation Framework for Scenario Creation. In: Rouse, R., Koenitz, H., Haahr, M. (eds) Interactive Storytelling. ICIDS 2018. Lecture Notes in Computer Science(), vol 11318. Springer, Cham. https://doi.org/10.1007/978-3-030-04028-4_52
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DOI: https://doi.org/10.1007/978-3-030-04028-4_52
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