Automatic plot generation framework for scenario creation

Yoji Kawano, Eichi Takaya, Kazuki Yamanobe, Satoshi Kurihara

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationInteractive Storytelling - 11th International Conference on Interactive Digital Storytelling, ICIDS 2018, Proceedings
EditorsRebecca Rouse, Mads Haahr, Hartmut Koenitz
PublisherSpringer Verlag
Pages453-461
Number of pages9
ISBN (Print)9783030040277
DOIs
Publication statusPublished - 2018
Event11th International Conference on Interactive Digital Storytelling, ICIDS 2018 - Dublin, Ireland
Duration: 2018 Dec 52018 Dec 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11318 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Interactive Digital Storytelling, ICIDS 2018
Country/TerritoryIreland
CityDublin
Period18/12/518/12/8

Keywords

  • Artificial intelligence
  • Automatic story generation
  • Hierarchical structure of stories

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