Development of a Trans-Field Science Learning System with a Humanoid Robot as an Interface
Project/Area Number |
15K00912
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Science education
|
Research Institution | Tokyo Gakugei University |
Principal Investigator |
MATSUURA Shu 東京学芸大学, 教育学部, 教授 (70238955)
|
Project Period (FY) |
2015-04-01 – 2018-03-31
|
Project Status |
Completed (Fiscal Year 2017)
|
Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
|
Keywords | e-Learning / ヒューマノイド・ロボット / Topic Maps / 対話プラットフォーム / 対話生成 / ヒューマン・インタフェース / オンライン学習システム / ヒューマノイドNAO / トピックマップ / 対話デザイン / eラーニング / インターネット / オントロジー / 理科学習 / 対話構造 / 対話 / アバター / エージェント / ヘッドマウント・ディスプレイ |
Outline of Final Research Achievements |
A Topic Maps-based online learning system with the backbone of structured knowledge was constructed, and a dialog system of a humanoid robot NAO with a direct connection with the learning system was developed as an information interface. A three-step model for the dialog generation was created for NAO. To query the server, the modules for various association types were used by the call of predetermined key-phrases that the humans utter. Also, a focus-interest model was created to construct the temporary memory for speech recognition. Further, a dialog frame was designed for the effective demonstration of the collaborative human-humanoid dialog, based on an activation-core-feedback sequence. The proposed system has been applied to the classrooms of a university and an elementary school.
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Report
(4 results)
Research Products
(21 results)