TaleStream: Supporting Story Ideation with Trope Knowledge

要旨

Story ideation is a critical part of the story-writing process. It is challenging to support computationally due to its exploratory and subjective nature. Tropes, which are recurring narrative elements across stories, are essential in stories as they shape the structure of narratives and our understanding of them. In this paper, we propose to use tropes as an intermediate representation of stories to approach story ideation. We present TaleStream, a canvas system that uses tropes as building blocks of stories while providing steerable suggestions of story ideas in the form of tropes. Our trope suggestion methods leverage data from the tvtropes.org wiki. We find that 97\% of the time, trope suggestions generated by our methods provide better story ideation materials than random tropes. Our system evaluation suggests that TaleStream can support writers’ creative flow and greatly facilitates story development. Tropes, as a rich lexicon of narratives with available examples, play a key role in TaleStream and hold promise for story-creation support systems.

著者
Jean-Peïc Chou
Stanford University, Stanford, California, United States
Maneesh Agrawala
Stanford University, Stanford, California, United States
Alexa F. Siu
Adobe Research, San Jose, California, United States
Nedim Lipka
Adobe Systems , San Jose, California, United States
Ryan Rossi
Adobe Research, San Jose, California, United States
Franck Dernoncourt
Adobe Research, Seattle, Washington, United States
論文URL

https://doi.org/10.1145/3586183.3606807

動画

会議: UIST 2023

ACM Symposium on User Interface Software and Technology

セッション: Creative Visions: Creativity Support Tools

Venetian Room
6 件の発表
2023-10-31 19:50:00
2023-10-31 21:10:00