事例から入る利活用者向けAI技術学習法とUXデザインのペルソナ手法による実習評価

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2023/11/01

タイトル(英語): AI Education Method for AI Users based on Case Studies and its Practical Evaluation using Persona Method in User Experience Design

著者名: 藤田　喜広（三菱電機インフォメーションシステムズ（株）），石原　正仁（こども教育宝仙大学），荻野　正（明星大学），大江　信宏（サイバー大学），秋山　康智（東京電機大学），清尾　克彦（サイバー大学），神戸　英利（東京電機大学），井上　雅裕（慶応義塾大学システムデザイン・マネジメント研究科），小泉　寿男（M2M・IoT研究会）

著者名(英語): Yoshihiro Fujita (Mitsubishi Electric Information Systems Corporation), Masahito Ishihara (Hosen College of Childhood Education), Tadashi Ogino (Meisei University), Nobuhiro Ohe (Cyber University Inc.), Koji Akiyama (Tokyo Denki University), Katsuhiko Seo (Cyber University Inc.), Hidetoshi Kambe (Tokyo Denki University), Masahiro Inoue (Keio University), Hisao Koizumi (Study Group on M2M/IoT)

キーワード: AI技術学習法，AIに精通していないAI利活用者　　AI education method，AI users who are not familiar with AI

要約(英語): AI, Artificial Intelligence, is being used in many products and services while still being developed. A policy of human resources development that responds to the times and sustainably applying AI to all industries, regions, and governments was issued in the Cabinet Office’s AI Strategy 2019. In this paper, we suggest an AI education method for AI users to expand the base of AI human resources. This education method teaches AI users about various AI cases, data analysis functions, and their relationships. Then, the method creates ideas that can be solved by AI using UX, User Experience, persona and they improve AI understanding. AI users create ideas that can be realized with AI on familiar themes that everyone has experienced. After that they learn what functions the idea is used. In addition, they improve AI understanding by repeating training in the AI users’ specialized fields. Also, we describe the practical evaluation and result of their understanding for AI users, humanities, science university students.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.143 No.11 （2023） 特集：電気関係学会関西連合大会

本誌掲載ページ: 1062-1072 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/143/11/143_1062/_article/-char/ja/