Automated Plot Generation Based on Narrative Structure to Inspire Creativity

Abstract

With the rapid development of infrastructure that enables the generation and distribution of various content, the demand for new content from consumers is increasing, and the burden on creative work such as supplying new stories and scenarios is increasing rapidly. Therefore, support from AI for human creative work is expected. In machine learning-based story generation, which is currently widely used, while fluent sentences can be generated, it is easy to generate common sentences, there is a risk of repetition when the sentences become longer, and it is difficult to explicitly model and control the story structure. Therefore, in this research, we focused on the plot, which is a story with a consistent structure while having creativity, and tried to automatically generate it. Furthermore, by utilizing crowdsourcing to evaluate the plot, it was found that the consistency was maintained more strictly depending on the structure, and the evaluation was higher than that of the plot generated by the large language model in terms of the ups and downs of the story and the interestingness. In addition, the relationship between which plot and which person feels creativity was studied.