モリタ　マサヒロ   MORITA Masahiro   森田　正大    所属   松山大学  経営学部 経営学科    職種   准教授
言語種別	英語
発行・発表の年月	2025/06
形態種別	学会報告
査読	査読あり
標題	Transcreation for Disaster Information: Simulation of Multicultural Support Using AI-Generated Personas
執筆形態	共著
掲載誌名	ITS 33rd European Conference 2025: "Digital innovation and transformation in uncertain times", Edinburgh, UK, 29th June – 1st July 2025
掲載区分	国外
出版社・発行元	ITS
巻・号・頁	pp.1-20
総ページ数	20
著者・共著者	Masahiro Morita, Shiro Uesugi
概要	Today, the rapid and accurate dissemination of information is necessary. How- ever, conventional disaster alerts often fail to effectively communicate with popula- tions of various background. Simple translation is often insufficient, and universal design approaches cannot cater to fit diverse individual needs. Therefore, this re- search hypothesizes that “transcreated” messages reflecting the recipient’s cultural and personal background should be used. However, transcreation methods need to take into account various factors for the varieties of the recipients are numerous. We explore the solutions through a two-stage methodology. First, a foundational study was conducted using AI-generated personas to simulate the efficiencies of varieties of personalized transcreation of disaster alerts. Second, a real-time gen- erative AI based system is developed to be tested by human subjects. The results from simulated persona suggest that AI-generated personas can be useful for simu- lating real human reactions. The human-subject surveys indicate that AI-generated transcreated disaster alert is more comprehensible and effective than conventional alerts. The comparison between AI-generated persona and human survey provide us of some insights about the simulation is robust to predict the real-world be- haviour of human beings. This study demonstrates the effective use of generative AI to improve disaster communication. It also provides insights for developing next-generation disaster communication systems.