著者

中野 淳一 青木 勝 岩科 智彩 古木 大裕 大堀 杏 井上 亮太郎 前野 隆司

出版者

日本感性工学会

雑誌

日本感性工学会論文誌 (ISSN:18845258)

巻号頁・発行日

pp.TJSKE-D-22-00041, (Released:2023-09-26)

参考文献数

15

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In this study, we developed a chatbot that gives advice for improving well-being and obtained basic knowledge about its well-being improving effect. In the design of the chatbot, we derived advice candidates from behaviors that are highly correlated with well-being based on a questionnaire survey. In the quantitative survey, the chatbot gave advice 172 verification subjects 13 times from the derived advice candidates. As a result, we confirmed that the group that executed a lot of contents of the advice improved the well-being level compared to the group that executed few ones.