JSAI2024

Presentation information

General Session

General Session » GS-10 AI application

[3E1-GS-10] AI application: Entertainment

Thu. May 30, 2024 9:00 AM - 10:40 AM Room E (Temporary room 3)

座長:柴田 健一(玉川大学)

9:40 AM - 10:00 AM

[3E1-GS-10-03] Comparative Analysis and Generation of Ending Patterns Based on the Results of the Horror Subgenre Analysis

〇Shunsuke Kousaki1, Hajime Murai1 (1. Future University HAKODATE)

[[Online]]

Keywords:Narrative analysis, Horror subgenre, Ending

In recent years, there have been many studies attempting to analyze the narrative structure of entertainment media such as manga and novels, and to automatically generate narratives. In addition, there are various subgenres of horror works, and classification of subgenres has been conducted mainly from a literary perspective. However, few studies have analyzed and classified subgenres from a scientific perspective. In this study, a total of 111 films in three horror subgenres were selected and their endings were analyzed using factor analysis, chi-square test, and residual analysis to extract ending patterns and clarify differences among horror subgenres. As a result, three ending patterns were extracted from the factor analysis, chi-square test, and residual analysis, and the differences in endings among the three horror subgenres were clarified. In addition, we generated patterns for the ending parts of the stories.

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