2022 Fiscal Year Final Research Report
Development of low cost skill training system enhanced by AI and MR technology
| Project/Area Number |
20K02810
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 09040:Education on school subjects and primary/secondary education-related
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| Research Institution | Hiroshima Institute of Technology |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
松本 慎平 広島工業大学, 情報学部, 教授 (30455183)
竹野 英敏 広島工業大学, 情報学部, 教授 (80344828)
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Keywords | 技能学習 / 技能伝承 / 技術教育 / 自己組織化特徴マップ / クラスタリング / 力覚フィードバック / xR / 解説エージェント |
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| Outline of Final Research Achievements |
We are developing new learner adaptive skill training systems. The systems aim to present the learner tacit knowledge of skill based on sensory or motion information. We have investigated and have improved our systems in the following functions: (1) Basic information about tacit knowledge of filing skill from EEG measurement of learners filing motions. (2) scoring method based on fuzzy clustering for peculiarity pattern of filing motion has been implemented. (3) Low-cost implementation methods of tacit knowledge display systems in open type Mixed Reality way are designed. (4) An audio guide agent system for low-vision learners has been implemented in the case of physical phenomena materials.
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| Free Research Field |
機械学習
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| Academic Significance and Societal Importance of the Research Achievements |
イノベーターの資質を育む技術教育の充実を目指し技能力量認定水準に到達させるための技能学習システムには、技能向上に重要な暗黙知や学習者のクセ・気付きの可視化、追体験性の機能が必要である。本研究ではこの機能を実現すべく、(1)現実のものづくり作業環境との違和感を低減しつつ、効果的に暗黙知を追体験できる混合現実(MR)提示手法、(2)ものづくり技術の形式知と暗黙知を効果的に可視化、分類する人工知能手法、(3)ものづくり技能修得での解説エージェントの、開放式MRに適した情報提示内容・方法の開発、ならびに(4)これらの実装の低コスト化に取り組んだ。
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