KEIO RESEARCHERS INFORMATION SYSTEM

Career 【 Display / hide 】

Career 【 Display / hide 】

• 2007.04

  -

  Present

  慶應義塾大学, 理工学部, 教授

• 2021.10

  -

  Present

  慶應義塾大学, 研究連携推進本部, 副本部長

• 2015.04

  -

  2019.03

  Cabinet Office, Council　for　Science　and　Technology and Innovation, Senior science and Technology Policy Fellow

• 2011.04

  -

  2015.03

  横浜国立大学, 理工学部　化学・生命系学科, 非常勤講師

• 2004.04

  -

  2007.03

  法政大学, 国際情報学部, 非常勤講師

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Academic Background 【 Display / hide 】

Academic Background 【 Display / hide 】

• 1986.03

  Keio University, Faculty of Science and Engineering, 管理工学科

  University, Graduated

• 1988.03

  Keio University, Graduate School, Division of Science and Engineeri, 管理工学専攻

  Graduate School, Completed, Master's course

• 1992.03

  Keio University, Graduate School, Division of Science and Engineeri, 管理工学専攻

  Graduate School, Completed, Doctoral course

Academic Degrees 【 Display / hide 】

Academic Degrees 【 Display / hide 】

• 工学　, Keio University, 1992.03

Research Areas 【 Display / hide 】

Research Areas 【 Display / hide 】

• Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Social systems engineering (Social System Engineering/Safety System)

• Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Safety engineering (Social System Engineering/Safety System)

• Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Social systems engineering (Social System Engineering/Safety System)

• Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Safety engineering (Social System Engineering/Safety System)

Research Keywords 【 Display / hide 】

Research Keywords 【 Display / hide 】

• Safety Management

• Management of Technology

• Human Factors Engineering

• Service Management

• Service Management

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Proposed Theme of Joint Research 【 Display / hide 】

Proposed Theme of Joint Research 【 Display / hide 】

• An activation of safety management in organizations

  Interested in joint research with industry (including private organizations, etc.),  Desired form： Technical Consultation, Funded Research, Cooperative Research

• Organizational Design and Management

  Interested in joint research with industry (including private organizations, etc.),  Desired form： Funded Research, Cooperative Research

Books 【 Display / hide 】

Books 【 Display / hide 】

• ヒューマンエラーと経営戦略 : ヒューマンファクター・マネジメントによる未来価値創造

  岡田有策, 日科技連出版, 2023.03,  Page： 180

  　View Summary

  安全のためのシステム（対策や教育を含む）の実効性を高めるためには適切なマネジメントが必要です。形骸化しやすい安全管理の仕組みを的確にマネジメントすることにより、企業のサービスや製品が利用者だけでなく地域社会にまで安心をもたらすことができます。的確な安全マネジメントは企業のレピュテーション（評判）をも向上させていきます。　
  　本書ではヒューマンエラー対応を含む安全対策を企業価値向上のための戦術と捉え、経営戦略との整合を図りながら、事業者のレピュテーションを高める安全活動の体制を構築していくプロセスについて解説します。

  • CiNii Research

• 「ヒューマンファクターズ概論」

  OKADA YUSAKU, 慶應義塾大学出版会, 2005.05

• System for Evaluating the Status of Future Human Error Prevention Activities in Manufacturing Sites Based on Information Noticed During Daily Work

  Koizumi K., Ino C., Okada Y., Applied Human Factors and Ergonomics International, 2025

  　View Summary

  In heavy manufacturing, where the production volume is low and the defect rate must be zero, extensive human error countermeasures have been implemented. However, the excessive number of countermeasures has placed a heavy burden on workers, necessitating the optimization of error management strategies. This study focuses on gathering human factor information during routine tasks by facilitating constructive communication in the workplace. A system was designed to evaluate this information multidimensionally, using positive words as indicators of constructive communication.

  • Access to Document (DOI)

• Simulation of the Effect of Nurse Staffing and Rotation on the Prevention of In-Hospital Fall Accidents

  Iwabuchi R., Okada Y., Applied Human Factors and Ergonomics International, 2025

  　View Summary

  Patients’ falls and fall-related incidents account for approximately 24% of all medical accidents, emphasizing the need for enhanced preventive measures. Traditional fall risk assessments do not consider nursing systems and impose a significant operational burden. In this study, we developed a simulation program that replicates hospital nursing systems and fall duration, analyzing the relationship between the number of nurses and fall duration. The simulation results showed that as the number of nurses increased, fall duration decreased. However, the effectiveness plateaued when the number exceeded eight nurses. Additionally, the distribution of fall duration followed a log-normal distribution, allowing it to be formulated as a costperformance optimization problem. As a result, the optimal number of nurses per floor was suggested to be between six and eight. Future research will incorporate nurse patrol routes and skill differences into the simulation to improve its applicability to real hospital environments. Collaborating with medical safety managers, we aim to develop and implement highly practical fall prevention measures.

  • Access to Document (DOI)

• Creation of an Evaluation Model for Human Error Response Training

  Shibuya Y., Okada Y., Applied Human Factors and Ergonomics International, 2025

  　View Summary

  Currently, many companies provide human error response training. The objective of this training is to gain knowledge about human error, participate in safety activities on their own, and make use of this knowledge in actual workplaces. However, many companies do not properly measure the effectiveness of education. Therefore, this study examined the creation of a model that can evaluate the effectiveness of human error response education. We created a new questionnaire tool by referring to engagement surveys currently conducted in various companies and questionnaires that measure the personality of individual characteristics. We then conducted a questionnaire at an IT company that conducts human error response education and attempts to measure its effectiveness in terms of exercise scores. Multiple regression analysis was conducted based on the results of the questionnaire and the exercise scores, and a model was created to enable measurement of the effectiveness of the education. In this study, we were able to find clues for creating an evaluation index to measure the effectiveness of human error response education. However, the measurement of effectiveness was unclear in some cases, and issues remained regarding the accuracy of the measurement. Once this model is established, it is expected that companies that have not yet been able to measure the effectiveness of their human error response training will be able to do so by using a simple questionnaire. Based on the results of this study, we plan to further expand the data and create an evaluation index that will enable more accurate measurement of the effectiveness of education.

  • Access to Document (DOI)

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Papers 【 Display / hide 】

Papers 【 Display / hide 】

• Incidence and outcomes of pulmonary artery injury during anatomical lung resection for lung cancer: a nationwide database study in Japan.

  Ichimura H, Yamamoto H, Sato Y, Chida M, Yoshino I, Okada Y, Inoue M, Hoshikawa Y, Ito H, Uramoto H, Shintani Y, Sato T, Chen-Yoshikawa TF, Asakura K, Fukui M, Kawamura M, Sakao Y, Toyooka S

  Surgery today  2026.07

  ISSN  0941-1291

  • Access to Document (DOI)

• Collaborative Design of a Generative AI Analogy-Based System for Human Error Analysis

  Fujiwara Aoi, Bannno Yuka, Okada Yusaku

  Journal of Japan Society for Safety Engineering (Japan Soceiety for Safety Engineering)  65 ( 3 ) 207 - 207 2026.06

  ISSN  05704480

  • Access to Document (DOI)
  • CiNii Research

• Evaluation of a Learning Method Combining a Penalty for False Negatives and Online Hard Negative Mining for Automatic Concrete Crack Detection

  MURATA Yuki, KOIZUMI Kosei, SAKURAI Akito, OKADA Yusaku, WAKAHARA Toshihiro

  Artificial Intelligence and Data Science (Japan Society of Civil Engineers)  7 ( 2 ) 110 - 121 2026

  　View Summary

  <p>As a growing proportion of road bridges continue to age, the demand for automated crack inspection is becoming increasingly urgent. However, in automated crack detection for concrete bridge decks, reducing false negatives often leads to an increase in false positives, whereas suppressing false positives tends to increase the risk of missed detections. In addition, surface-specific noise in real inspection environments, such as color irregularities, structural boundaries, and efflorescence, frequently triggers spurious detections, making it difficult to achieve a level of performance suitable for field deployment. To address this challenge, this study proposes a two-stage penalty learning framework for semantic segmentation, in which false negatives (FNs) are heavily penalized during the early stage of training, followed by the introduction of Online Hard Negative Mining (OHNM) to suppress false positives. Comparative experiments using images acquired from actual bridge decks showed that the proposed method improved both IoU and F1 score. Furthermore, paired t-tests with Holm correction confirmed that these improvements were statistically significant. The proposed approach can therefore be regarded as a promising learning strategy for practical crack detection systems that must simultaneously cope with missed detections and false alarms.</p>

  • Access to Document (DOI)
  • CiNii Research

• 生成AI時代におけるヒューマンファクターズの新たな課題

  岡田 有策

  Human Factors in Japan (The Society for Industrial Plant Human Factors of Japan)  31 ( 1 ) n/a 2026

  ISSN  13494910

  • Access to Document (DOI)
  • CiNii Research

• Evaluation of Training Data Selection Strategies for Automated Concrete Surface Crack Detection

  KOIZUMI Kosei, MURATA Yuki, SAKURAI Akito, OKADA Yusaku, WAKAHARA Toshihiro

  Artificial Intelligence and Data Science (Japan Society of Civil Engineers)  7 ( 2 ) 246 - 253 2026

  　View Summary

  <p>In deep-learning-based concrete crack detection, degraded generalization on unseen bridges due to domain shift remains a major practical challenge. This study compares two robust training-data selection strategies: target-specific sampling, which prioritizes images with textures similar to the inference target, and cluster-balanced sampling, which ensures coverage of diverse background patterns through feature clustering. Bridge-wise cross-validation on real bridge-deck datasets revealed that target-specific sampling overfits to particular background features, leading to both missed detections (false negatives) and over-detections (false positives). In contrast, cluster-balanced sampling reduces reliance on specific textures by learning diverse background patterns, thereby suppressing missed detections and maintaining generalization performance on unseen bridges. These findings provide practical guidelines for constructing training datasets that enhance the reliability of AI models for infrastructure inspection.</p>

  • Access to Document (DOI)
  • CiNii Research

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Reviews, Commentaries, etc. 【 Display / hide 】

Reviews, Commentaries, etc. 【 Display / hide 】

• Safety management from a stakeholder perspective -Activities to improve social reputation-

  岡田有策

  ヒューマンファクターズ (日本プラントヒューマンファクター学会)  26 ( 1 ) 3 - 8 2021.08

  Article, review, commentary, editorial, etc. (scientific journal), Single Work

• 医療機関におけるリスクマネージャー育成支援に関する検討

  こう 希悦, 山崎 春奈, 岡田 有策

  日本医療安全学会学術総会抄録集 ((一社)日本医療安全学会)  7回   146 - 146 2021.05

Presentations 【 Display / hide 】

Presentations 【 Display / hide 】

• イノベーションの社会実装を促進させるためのビジネス環境の提案　～緩和から適応へ～

  岡田有策

  [Domestic presentation]  SX/DX/GX Summit 2024, 

  2024.11

  , 

  Public lecture, seminar, tutorial, course, or other speech

  　View Summary

  自然災害は日本という国土に様々な形で困難を突きつけてきます。これらの困難を克服することに様々な技術革新が貢献していますが、予防保全的な役割を担うには多くの解決すべき問題が残っています。新たなフィールドでのイノベーションを活性化させるためには新たなビジネス環境の設計・整備が重要です。そこで、将来のさまざまな災害に的確に対峙できる分野横断型の統合システムを構築すると共に、市民生活におけるハード／ソフト両面の損傷を最小化する技術のプロデュースを促進させる社会デザインの提案を検討する枠組みとして、適応ファイナンスコンソーシアムを立ち上げました。この考え方を社会実装させていくためには、レピュテーションなど金銭ではない価値を基軸にした新たなビジネスモデルを構築し、防災のみならず社会インフラの維持管理、農業を含むグリーンインフラの整備など多様な社会課題に対応できるようにしていくことが必要です。
  
  現在の子供たちが2030年以降に「日本に生まれてよかった」と率直に感じられるようにすることは日本という地域で様々な恩恵を得てきた世代の人間の大きな役割と考えます。“未来”という言葉を夢と希望をもって語れる社会にしていくことに貢献していく新たな取り組みについて、その課題の本質とともに解決の方向性についてご紹介致します。

• A Study on Human Error Recovery Effect by Strengthening Follow-up System among Workers in Team Work

  Risako Shiraishi, Yusaku Okada

  [International presentation]  8th International Conference on Applied Human Factors and Ergonomics (AHFE) and Affiliated Conferences, 

  2017.07

  , 

  Oral presentation (general)

• A proposal of field-oriented system to support medical risk management. Support of Risk Management in small and medium sized hospital

  Akifumi Hiranuma, Yusaku Okada

  [International presentation]  8th International Conference on Applied Human Factors and Ergonomics (AHFE) and Affiliated Conferences, 

  2017.07

  , 

  Oral presentation (general)

• A study of evaluation method for safety activity at railroad station service in consideration of user's security feeling.

  Kazuki KIYOTA, Yuya TANABE, Yusaku OKADA

  [International presentation]  7th International Conference on Applied Human Factors and Ergonomics (AHFE) and Affiliated Conferences, 

  2016.07

  , 

  Oral presentation (general)

• A study on activation of on-site management in railway enterprise -Focusing on occupation responsible for user's safety-

  Minami WAKATA, Kumiko TAKAHASHI, Yusaku OKADA

  [International presentation]  7th International Conference on Applied Human Factors and Ergonomics (AHFE) and Affiliated Conferences, 

  2016.07

  , 

  Oral presentation (general)

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Research Projects of Competitive Funds, etc. 【 Display / hide 】

Research Projects of Competitive Funds, etc. 【 Display / hide 】

• 社会インフラの価値評価に関する調査研究

  2021.08

  -

  Present

  大崎総合研究所, Commissioned ｒesearch, Principal investigator

• 安全に関する指導・教育

  2021.04

  -

  Present

  東京地下鉄, Commissioned ｒesearch, Principal investigator

• 安全マネジメント講習

  2021.04

  -

  Present

  京阪電鉄, Commissioned ｒesearch, Principal investigator

• ヒューマンエラー防止活動に関する研究

  2021.04

  -

  Present

  西部石油, Commissioned ｒesearch, Principal investigator

• 医療事故防止対策の研究

  2021.04

  -

  Present

  医療法人社団明芳会, Commissioned ｒesearch, Principal investigator

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Awards 【 Display / hide 】

Awards 【 Display / hide 】

• ペイシェントセーフティーファースト賞

  小林尚人, 平沼明史, 岡田有策, 2019.03, 日本医療安全学会, 投薬業務に関わる 投薬業務に関わる PSF 分析

  Type of Award： Award from Japanese society, conference, symposium, etc.

• 安全工学論文賞

  AKASAKA Toshiya,TANUMA Shozo, OKADA Yusaku, 2014.05, Japan Society for Safety Engineering, ヒヤリハットを活用した安全活動における気付きの育成

  Type of Award： Award from Japanese society, conference, symposium, etc.

• 安全工学論文賞

  AKASAKA Toshiya, TANUMA Shozo, OKADA Yusaku, 2014.05, Japan Society for Safety Engineering, ヒヤリハットを活用した安全活動における気付きの育成

  Type of Award： Award from Japanese society, conference, symposium, etc.

• 日本人間工学会　大島賞

  OKADA YUSAKU, 2001.08, 日本人間工学会, 構造的快適性評価手法の提案　-事例(自動車の乗降における快適さの評価)-

  Type of Award： Award from Japanese society, conference, symposium, etc.

• 日本人間工学会 大島賞

  OKADA YUSAKU, 2001.08, 日本人間工学会, 構造的快適性評価手法の提案 -事例(自動車の乗降における快適さの評価)-

  Type of Award： Award from Japanese society, conference, symposium, etc.

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Courses Taught 【 Display / hide 】

Courses Taught 【 Display / hide 】

• BACHELOR'S THESIS

  2026

• GRADUATE RESEARCH ON INFORMATICS, MANAGEMENT, AND HUMAN SCIENCES B1

  2026

• JINKAN-KOSAI PROJECT 4

  2026

• LABORATORIES IN SCIENCE AND TECHNOLOGY

  2026

• GRADUATE RESEARCH ON SCIENCE FOR OPEN AND ENVIRONMENTAL SYSTEMS 2

  2026

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Social Activities 【 Display / hide 】

Social Activities 【 Display / hide 】

• 日本学術会議第25期連携会員

  2020.10

  -

  2023.09

• 日本学術会議第24期連携会員

  2017.10

  -

  2020.09

• ＳＩＰ（戦略的イノベーション創造プログラム） 『インフラ維持管理・更新・マネジメント技術』 サブ・プログラム・ディレクター

  2015.07

  -

  2019.03

• 宇宙航空研究開発機構

  2010.06

  -

  2013.04

• 日本学術会議21期、第三部「総合工学」「安全・安心・リスク分化委員会」

  2009.04

  -

  2012.03

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Memberships in Academic Societies 【 Display / hide 】

Memberships in Academic Societies 【 Display / hide 】

• 日本人間工学会, 

  1986.04

  -

  Present

• 日本プラントヒューマンファクター学会, 

  1996.09

  -

  Present

• 土木学会, 

  2019.03

  -

  Present

• 安全工学会, 

  2001.04

  -

  Present

• 日本医療安全学会, 

  2015.04

  -

  Present

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Committee Experiences 【 Display / hide 】

Committee Experiences 【 Display / hide 】

• 2024.08

  -

  Present

  Physical Ergonomics & Safety Scientific Advisory Board, 16th International Conference on Applied Ergonomics 2025

• 2024.04

  -

  Present

  会長, Japan Consortium for Adaptation Finance Promotion

  　View Remarks

  第２条 本コンソーシアムは、政府の「適応ファイナンス」 のこれまでの検討内容を踏まえ、地球温暖化に伴う気候変動による、人命や経済損失、社会インフラの機能不全などの市民生活を脅かす災害の物理リスクや財務影響を軽減・回避し、生活の安定、社会もしくは経済の健全な発展又は自然環境の保全を図ることに資する取り組みを推進する。具体的には「気候リスク」、「物理的リスク」、「財務への影響」を軽減するための方法の原則、枠組み、マネジメントプロセスの体系化を推進するとともに、ビジネス機会の獲得のために、投融資、保険などの金融スキームと、適応価値を最大化するための科学的かつ定量的な評価分析、効果測定および適応対策方法を活用した社会実装を推進することを目的にする。

• 2023.10

  -

  Present

  委員, デジタル関係制度改革検討会 テクノロジーベースの規制改革推進委員会

  　View Remarks

  デジタル庁

• 2023.08

  -

  Present

  Physical Ergonomics & Safety Scientific Advisory Board, 15th International Conference on Applied Ergonomics 2024

• 2023.06

  -

  2024.03

  委員, デジタル技術を活用した建築物環境衛生管理のあり方に関する検討会

  　View Remarks

  厚生労働省

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