著者

斉藤 耕一

出版者

FIT(電子情報通信学会・情報処理学会)運営委員会

雑誌

情報科学技術フォーラム講演論文集

巻号頁・発行日

vol.14, no.3, pp.439-442, 2015-08-24

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Many voluntary organizations for disaster prevention are eager to elucidate the local resident needs properly, so that the obtained insights would be utilized to make much more effective disaster response and preparedness. However, since the diversity, complexity, and personalization of a local resident needs are growing, it is challenging to model the internal state of a local resident needs. This study aims to analyze matters that influence a local resident's decision making in a security measures, which a local resident has the high level of involvement. Concretely, a free answer to disaster prevention organization was chosen as a security measures, and a text-mining method was used to analyze the free-answer part in the questionnaire data on this security measures. This study is the first step toward modeling the internal state of an agent in the agent-based social simulation system.