記述言語：日本語   出版者・発行元：安全工学会  

<p>海外における保安力評価開発の動向を示すため，主に欧州の事例について解説を行う．ノルウェーDet Norske Veritas 社のISRS，イギリスHealth & Safety Laboratory のSafety Climate Tool，の概要を説明すると共に，フランスInstitut pour une culture de la sécurité industrielle（産業安全文化研究所：ICSI） のHSE Culture survey の詳細について解説する．さらに，評価システムを支える人材育成の仕組みをどのように構築しているか並びに今後の保安力評価が目指すべき姿についての整理を行った．</p>

DOI： 10.18943/safety.51.6_395

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：AMER SOC MECHANICAL ENGINEERS  

Scenario Graph is a structured mind mapping methodology that aids design teams to generate potential scenarios for new products and services while visually organizing contextual information. Since its introduction in industry and academia, the Scenario Graph has helped design teams to capture new values and behaviors of potential customers during the problem formulation stage. At the same time, the Scenario Graph, sharing a common challenge with various design methods, has faced difficulty regarding validation of its effectiveness as a design method.
This paper describes a validation framework for a method in problem formulation stages and an experiment, which compare ideation results of 87 people-43 people with the Scenario Graph method (as a test group) and 44 people with the Brainstorming (as a control group) to solve an identical problem. While the results show no statistically significant difference in the number of ideas generated, the data reveals statistically significant differences in the quality of ideas. The test group, which used the Scenario Graph, yielded ideas that were more novel, feasible, and abstract than the control group, which used the Brainstorming, did. These metrics represent a way to measure the quality of ideas in the domain of engineering design.
Our experiment confirms the hypotheses that the Scenario Graph is effective in improving the performance of idea generation sessions, which is consistent with qualitative evaluations. The lessons, gained from this experiment, provide an insight on how this method can be effectively used during the early stages of concept generation of a company's process for product and/or service development.

DOI： 10.1115/DETC2011-48047

Web of Science

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記述言語：日本語   出版者・発行元：一般社団法人 日本人間工学会  

本論文では，チームトレーニング手法の開発を最終目的とし，職種毎に重視されるチームワーク（TW）要素のプロフィールについて，職業人約1000人を対象に調査を行い，以下について検討した．1）質問紙によるTW要素の因子分析からTW因子の抽出（尺度の構成），2）職種毎に強化すべきTW因子の違いの明確化，3）TW因子の現実のチームパフォーマンスへの影響．その結果，TW因子は，チームメンバへの関心，開放性，斉一性など5因子で構成されることが示唆された．また，トレーニングで目標とするTW状態（目標レベル）と現状でパフォーマンスが高いTW状態（現状レベル高）に有意差が認められず，現状レベル高と現状レベル低の間には有意差が認められた．したがって，トレーニング開始前に対象チームに目標及び現状のチーム状態を尋ねることにより，強化すべきTW因子を把握できる可能性が示唆された．これにより，事前にトレーニング内容と目標を検討できる．

DOI： 10.5100/jje.47.171

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担当区分：最終著者  

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担当区分：最終著者   記述言語：日本語   掲載種別：研究発表ペーパー・要旨（全国大会，その他学術会議）  

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記述言語：日本語   出版者・発行元：一般社団法人 日本機械学会  

DOI： 10.1299/jsmetsd.2019.g190416

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記述言語：日本語   出版者・発行元：日本芳香族工業会  

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記述言語：日本語   出版者・発行元：化学工業日報社  

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開催年月日： 2022年12月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：鳥取県米子市   国名：日本国  

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開催年月日： 2022年12月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：鳥取県米子市   国名：日本国  

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開催年月日： 2022年12月

記述言語：日本語   会議種別：口頭発表（一般）  

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開催年月日： 2019年

記述言語：日本語  

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開催年月日： 2013年4月

記述言語：日本語  

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開催年月日： 2012年

記述言語：英語  

Scenario Graph is a structured mind mapping methodology that aids design teams to generate potential scenarios for new products and services while visually organizing contextual information. Since its introduction in industry and academia, the Scenario Graph has helped design teams to capture new values and behaviors of potential customers during the problem formulation stage. At the same time, the Scenario Graph, sharing a common challenge with various design methods, has faced difficulty regarding validation of its effectiveness as a design method. This paper describes a validation framework for a method in problem formulation stages and an experiment, which compare ideation results of 87 people-43 people with the Scenario Graph method (as a test group) and 44 people with the Brainstorming (as a control group) to solve an identical problem. While the results show no statistically significant difference in the number of ideas generated, the data reveals statistically significant differences in the quality of ideas. The test group, which used the Scenario Graph, yielded ideas that were more novel, feasible, and abstract than the control group, which used the Brainstorming, did. These metrics represent a way to measure the quality of ideas in the domain of engineering design. Our experiment confirms the hypotheses that the Scenario Graph is effective in improving the performance of idea generation sessions, which is consistent with qualitative evaluations. The lessons, gained from this experiment, provide an insight on how this method can be effectively used during the early stages of concept generation of a company's process for product and/or service development.

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