2023 Fiscal Year Final Research Report
Development of an electroencephalographic index measuring text comprehension
| Project/Area Number |
21K12610
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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 90030:Cognitive science-related
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| Research Institution | Future University-Hakodate |
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Principal Investigator |
Sato Naoyuki 公立はこだて未来大学, システム情報科学部, 教授 (70312668)
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| Co-Investigator(Kenkyū-buntansha) |
水原 啓暁 京都大学, 情報学研究科, 准教授 (30392137)
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| Project Period (FY) |
2021-04-01 – 2024-03-31
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| Keywords | 脳情報処理 / 脳科学 / 認知科学 / 高次脳機能計測 / ブレインマシンインターフェイス |
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| Outline of Final Research Achievements |
This study was aimed to construct an electroencephalogram decoding method of “level of understanding” during text reading. We developed an analytical method for EEG propagation on the scalp surface, which is essential for the application of EEG measurements in the classroom setting. We applied the method to EEG data during online and face-to-face lectures and found significant difference of EEG propagating directions between the two conditions. Unfortunately, we did not find any significant EEG components related to the text understanding, while the proposed method is thought to produce the important basis of head-free EEG measurements in the classroom setting.
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| Free Research Field |
計算論的神経科学
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| Academic Significance and Societal Importance of the Research Achievements |
従来の脳波研究では視線・頭部固定条件が一般的だが、頭部固定条件では教育・学習の状況を阻害する懸念が強く、応用性の点で問題がある。そこで、本研究では、視線・頭部とも自由条件でアーチファクトに対して頑健と思われる、脳波進行波に関する解析手法を検討した。また、頭部自由条件でもオンラインと対面の講義での脳波進行波の方向の差異を検出することに成功した。同技術は、今後の実環境での脳波計測応用の点で重要な基盤となりえる。
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