BunCho: AI Supported Story Co-Creation via Unsupervised Multitask Learning to Increase Writers’ …



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BunCho: AI Supported Story Co-Creation via Unsupervised Multitask Learning to Increase Writers’ Creativity in Japanese
Hiroyuki Osone, Jun-Li Lu, Yoichi Ochiai

CHI ’21: The 2021 ACM CHI Conference on Human Factors in Computing Systems
Session: alt.chi: New Narrations

Abstract
Co-creation with artificial intelligence (AI) is an upcoming trend. However, less attention has been given to the construction of systems for Japanese novelists. In this study, we built “BunCho”, an AI supported story co-creation system in Japanese. BunCho’s AI is GPT-2 (an unsupervised multitask language model) trained using a large-scale dataset of Japanese web texts and novels. With BunCho, users can generate titles and synopses from keywords. Furthermore, we propose an interactive story co-creation AI system as a tabletop role-playing game. According to summative studies of writers (N=16) and readers (N=32), 69% writers enjoyed writing synopses with BunCho more than by themselves, and at least one of five common metrics were improved at objective evaluation, including creativity. In addition, 63% writers indicated that BunCho broadened their stories. BunCho showed paths to assist Japanese novelists in creating high-level and creative writing.

DOI:: https://doi.org/10.1145/3411763.3450391
WEB:: https://chi2021.acm.org/

Pre-recorded Presentations for the ACM CHI Virtual Conference on Human Factors in Computing Systems, May 8-13, 2021

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