Brain tagging: A BCI and HCI tagging system to evaluate the learning contents

Yang Ting Shen, Pei Wen Lu, Xin Mao Chen

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

In this paper, we propose a novel interactive video-based learning system, Brain Tagging. Through collecting both the passive BCI and the active HCI tagging information, the learns’ objective and subjective metadata to the video contents are generated. The system gives a way to visualize the learning pattern by timeline chart consisted of BCI metadata (attention and meditation) and HCI metadata (good, question, and disagree). This can help to understand the learning process and performance, and thereby to provide proper improvement in e-learning.

原文English
主出版物標題Learning and Collaboration Technologies
主出版物子標題Novel Learning Ecosystems - 4th International Conference, LCT 2017 Held as Part of HCI International 2017, Proceedings
編輯Panayiotis Zaphiris, Andri Ioannou
發行者Springer Verlag
頁面46-54
頁數9
ISBN(列印)9783319585086
DOIs
出版狀態Published - 2017
事件4th International Conference on Learning and Collaboration Technologies, LCT 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCI 2017 - Vancouver, Canada
持續時間: 2017 七月 92017 七月 14

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10295 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference4th International Conference on Learning and Collaboration Technologies, LCT 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCI 2017
國家/地區Canada
城市Vancouver
期間17-07-0917-07-14

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 電腦科學(全部)

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