Osaka Kyoiku University Researcher Information
日本語 ｜ English
Curriculum Vitaes
Profile Information
- Affiliation
- Special Appointed Associate Professor, Division of Math, Sciences, and Information Technology in Education, Osaka Kyoiku University
- Degree
- 博士（経営科学）(京都大学)
- Researcher number
- 20892425
- J-GLOBAL ID
- 202001004859362305
- researchmap Member ID
- R000005574
2001年、大手金融機関に入社し、顧客行動の調査・分析を担当。その後、人材開発事業会社にて、マーケティング、財務などの問題解決型研修の企画・運営、ビジネスリーダーの能力開発に従事。現在は、調査分析からコンセプトデザインまでを担当し、創造活動のための場のデザインやファシリテーションを実践しながらクライアントの価値創造を支援。 2020年7月より大阪教育大学 特任准教授。 ＜ビジネスコラム＞ ◆「クリエイティビティ再考」Bizzine（翔泳社） https://bizzine.jp/article/corner/101 第1回 イノベーションに必要な「仮説生成型リサーチ」と「情報の統合」――リサーチ不要論は本当か 第2回 リサーチとデザインの懸け橋になる「リフレーム・インサイト」とは？ 第3回「行動観察×デザイン」で見えてきた、デザインの力で「調査分析」をドライブする３つの力 第4回 デザインプロセスの“断絶問題”を解決する、業務プロセス改革と組織改革とは？ 第5回 クリエイティブ思考の源流を求めて──「発想法」としてのKJ法とは？ 第6回 久留米絣のAI活用がデータドリブンではなく、行動観察による「ニーズドリブン」だった理由 ◆「デザイン思考×ビッグデータ」Bizzine（翔泳社） https://bizzine.jp/article/corner/18 第1回 なぜ「デザイン思考×ビッグデータ」なのか 第2回 「デザインプロセスの精緻化」がビッグデータ活用の鍵 第3回 「デザイン思考×ビッグデータ」は認識共有から始めよ 第4回 ビッグデータ活用は「数字力」より「言葉力」 第5回 「洞察（インサイト）」が得られる分析力とは？ 第6回 “異能集団”の組織デザイン－3つのポイントとフェア・プロセス 第7回 創造的な人は何が違うのか―「大きなＴ」と「自律的モチベーション」 第8回 イノベーション・リーダーに必要な「統合思考」～自分の“ひらめきパターン”を知る ◆“ファシリテーション”と“場の論理”と“パターンランゲージ”と オージス総研Webマガジン2016年7月号 http://www.ogis-ri.co.jp/rad/webmaga/1255868_6728.html. ＜研究プロジェクト＞ ◆「学校教育における外部人材活用事業」令和2年度文部科学省委託事業 https://www.mext.go.jp/content/20210601-mxt_kyoikujinzai01-000015522_1.pdf （Ⅲ章、Ⅳ章2-3節、Ⅴ章、Ⅵ章を担当）
Major Committee Memberships
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Oct, 2024 - Present
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Apr, 2021 - Present
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Apr, 2021 - Present
Awards
3Papers
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2022年度人工知能学会全国大会（第36回）, JSAI2022 4Yin232-4Yin232, Jun, 2022In this research, we generated natural language data by qualitative approach, analyzed the data by Aska that utilizes machine-learning methods, and evaluated its usefulness by comparing the result of Aska with that of human assessments, all with the aim of proposing an analysis method for natural language data. Concretely, we took the following procedure: firstly collecting opinion data (text data) from each individual through a creative workshop method, secondly letting individuals post and mutually assess the opinions in Aska, and thirdly classifying the data based on a matrix plot obtained through Aska. As a result of comparing the classified data using Aska with that by workshop, it was confirmed that the classification of the opinion data was not dominated by particular words, but by overall meaning of sentence holistically. This study implies that the integrated approach of the creative workshop and Aska enables us to aggregate and interpret opinion data more rationally.
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2022年度人工知能学会全国大会（第36回）, JSAI2022 3Yin205-3Yin205, Jun, 2022In the field of art, various works have been created by artificial intelligence. However, there are skeptics who claim “Because artists are humans, they can impress humans.” As such, it is important to understand human emotions first that the arts can provoke. In this research, we will clarify how human minds are affected by art works. Specifically, we conducted a questionnaire to survey “the most impressive visual art work in life,” “emotional factors,” and “human characteristics.” As a result, we found seven emotional factors and eight human characteristics. In addition, the structuralization and analysis of the collected data by Bayesian network confirmed that the concepts related to the aesthetic type discussed in aesthetic research are quantitatively expressed. This structural analysis provides evidence of aesthetic research and becomes basic knowledge to understand artistic sensibility of humans.
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人工知能学会誌, 37(2) 202-209, Mar 1, 2022 Peer-reviewedInvited
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Journal of Japan Creativity Society, 24 79-96, Apr, 2021 Peer-reviewedTo understand theoretically beyond reductionism and dualism is necessary for practicing KJ-ho in the right way. Therefore, in this paper we develop KJ-ho theoretically with Deleuzian agencement perspective and, as a case evidence, analyze data integrations of KJ-ho for service development at an experienced-based accommodation with agencement perspective and its contribution for service design. As a result, it shows that it is important for abductive data integration to understand KJ-ho theory developmentally with agencement perspective.
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Journal of Japan Creativity Society, 22 53-67, 2019 Peer-reviewedThe practice of abductive integrative thinking has problems as a method and also in the process of implementation although creative thinking has been receiving attention and implemented in various methods. In this paper, we focus on KJ-ho after reviewing theories and methods of integrative thinking, evaluate each method by referring previous studies, select the suitable one for business workshops and improve it. Then, we discuss the importance of not only agreement and acceptance but also divergent opinion such as conflict and struggle in workshop, set a framework of analysis, research to implement the method in workshops, and analyze its success factor with quantitative and qualitative. As a result, it showed that conflict and struggle such as disagreement are important success factors.
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JSAI Technical Report, Type 2 SIG, 2018(SAI-033) 03, Nov 22, 2018User behavior modeling becomes important to create user-friendly products and services. To understand user behavior, we have to know the users' thinking, feelings, and "kansei." In our previous studies, we took a questionnaire to car purchasing users and made probabilistic user models about car selection. In these analyses, we showed that the selection of cars depends not only on the life-stages of customers but also on their kansei. In this study, to expand utilization of user modeling, we make an information recommendation system based on a kansei user model. This system recommends information about premium beer according to a respondent's philosophy concerning beer drinking and attitude to life, and then it measures the satisfaction level with regard to the recommendation. We tested this system at a museum having a history of beer exhibition and offered new beer drinking space. We showed that most users were satisfied with the recommendation results. We also showed that a number of museum users seemed to have little interest in beer and beer drinking.
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JSAI Technical Report, Type 2 SIG, 2016(SAI-027) 02, Nov 11, 2016User modeling becomes more important at product making business because companies have to deal with a wide variety of customers favorites. We are researching customer behavior modeling based on customers' sensibility or "kansei". In this study, we focused on car selection as the first case of customer modeling and we researched factors related to the selection of a car through qualitative surveys. We took an Internet survey for car selection based on the result of past surveys. In this paper, we report the result obtained from an analysis of the survey data.
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日本行動計量学会大会抄録集, 43 222-223, Sep 1, 2015
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情報処理学会研究報告(Web), 2015(UBI-47), 2015
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Communications in Computer and Information Science, 404 CCIS 277-282, 2014As ongoing advances in neurophysiological technologies render them easier to use and more cost-effective, their range of application has widened considerably. In the field of neuromarketing, a typical utilization is the recording of brain activity through electroencephalography (EEG) to evaluate the efficiency of a promotion. Here we apply EEG to evaluate a set of TV commercials for the Asahi Shimbun newspaper. Results show a positive correlation between activation in the prefrontal cortex and survey-based evaluation. These results support the use of brain waves methods as a reliable way to supplement traditional, verbal-based methods of promotion evaluation. © Springer-Verlag Berlin Heidelberg 2014.
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人工知能学会全国大会論文集, 2013 3H3OS05b1-3H3OS05b1, 2013<p>広告を放映する前に効果を検証する手法としては大きく二つのアプローチがある. 一つはアンケートで,視聴者の感情と判断を元に効果を推測するもの,もう一つはニューロマーケティングと呼ばれ,EEG等を計測することで客観的に反応の時系列を測定するものである.本稿では,その二つの長所を生かすため,両方の結果データを統合する統計手法を検証する.</p>
Misc.
2Books and Other Publications
1Presentations
8Teaching Experience
7-
Oct, 2024 - Present実務志向の因果的モデリング実践 ベイジアンネットワークと生成AI活用 (上智大学 応用データサイエンス学位プログラム)
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Oct, 2021 - PresentAIとデータサイエンス (大阪教育大学)
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Oct, 2021 - Present先端技術・データ活用演習 (大阪教育大学大学院教育学研究科)
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Apr, 2021 - Present教育イノベーション概論 (大阪教育大学大学院教育学研究科)
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Dec, 2017 - Presentデータサイエンス特論2 (神戸大学)
Research Projects
1-
科学研究費助成事業, 日本学術振興会, Apr, 2024 - Mar, 2026
Other
7-
2021令和2年度文部科学省委託事業 https://www.mext.go.jp/content/20210601-mxt_kyoikujinzai01-000015522_1.pdf （Ⅲ章、Ⅳ章2-3節、Ⅴ章、Ⅵ章を担当）
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Jun, 2017 - Dec, 2017第1回 イノベーションに必要な「仮説生成型リサーチ」と「情報の統合」――リサーチ不要論は本当か 第２回 リサーチとデザインの懸け橋になる「リフレーム・インサイト」とは？ 第３回「行動観察×デザイン」で見えてきた、デザインの力で「調査分析」をドライブする３つの力 第４回 デザインプロセスの“断絶問題”を解決する、業務プロセス改革と組織改革とは？ 第５回 クリエイティブ思考の源流を求めて──「発想法」としてのKJ法とは？ 第６回 久留米絣のAI活用がデータドリブンではなく、行動観察による「ニーズドリブン」だった理由 https://bizzine.jp/article/corner/101
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Jul, 2016 - Jul, 2016オージス総研Webマガジン2016年7月号 http://www.ogis-ri.co.jp/rad/webmaga/1255868_6728.html.
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Jul, 2016 - Jul, 2016MarkeZine Vol.8，翔泳社 https://markezine.jp/article/detail/24751