| Project/Area Number |
18K19836
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| Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
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| Allocation Type | Multi-year Fund |
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| Review Section |
Medium-sized Section 62:Applied informatics and related fields
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| Research Institution | The University of Electro-Communications |
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Principal Investigator |
Kashihara Akihiro 電気通信大学, 大学院情報理工学研究科, 教授 (10243263)
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| Project Period (FY) |
2018-06-29 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥6,370,000 (Direct Cost: ¥4,900,000、Indirect Cost: ¥1,470,000)
Fiscal Year 2020: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2019: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2018: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 学習支援システム / プレゼンテーションロボット / プレゼンテーション動作モデル / 代講 / セルフレビュー / ロボット講義 / プレゼンテーションスキル |
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| Outline of Final Research Achievements |
The main issues addressed in this paper were how to design robot presentation in which a robot substitutes for human presenters to enhance their presentation, and how to improve presentation skills. Our approach to these issue was to build a model of non-verbal behavior in presentation to diagnose and reconstruct non-verbal behavior conducted by presenters. Following this approach, we developed a robot presentation system that appropriately reproduces non-verbal behavior of human presenters with reconstructed one. We also developed a method that allowed learners to self-review non-verbal behavior with the robot presentation system. The results of the case studies with the system suggest the presentation robot could conduct non-verbal behavior as to attention control, promote audience's understanding of presentation contents, and promote self-review in an appropriate way.
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| Academic Significance and Societal Importance of the Research Achievements |
知識社会において、新しい知識やアイデアの創出だけでなく，その意義や価値を伝えるプレゼンテーション遂行スキルは極めて重要であるが、プレゼンテーションにおいて必要な非言語動作を見極める試みは見られない。本研究では、聴衆の注意制御・理解促進動作に着目してプレゼンテーション動作モデルをデザインする点に学術的意義があり、モデルベースにプレゼンタの動作を診断・再構成することができる。開発したプレゼンテーションロボットシステムは、プレゼンタの個性や特徴を維持しつつ、代講の質を一定水準に保持できる。また、モデルに基づくロボット代講技術は、プレゼンタのスキル向上支援にも資するもので、非常に有意義といえる。
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