Develop an Attention Recognition Mechanism on e-book reading system by brainwave and visual

Pei Yu Cheng, Yen Ning Su, Yu Cheng Chien, Chia Hung Lai, Guan Yu Chen, I. Wei Lu, Yueh Min Huang

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Student's reading attention is highly related to their reading ability and learning performance. Traditionally, it is a difficult procedure that when teachers want to observe the reading attention state of each students. In recent years, sensing technology-based applications and learning methods emerge in the increasingly mature environment. Most studies have shown the effectiveness of sensor-assisted learning system in helping teachers observe students' learning state. In order to help teachers effectively observe students' learning attention, this study developed Attention Recognition Mechanism (ARM) on e-book reading system by brainwave and visual. To derive more insights from the participants of the ARM on e-book system, five teachers were enrolled in the interview study. They commented that using attention recognition mechanism on e-book reading system can help teachers monitor the student's reading attention state and provide suitable feedback.

原文English
主出版物標題2015 9th International Conference on Sensing Technology, ICST 2015
發行者IEEE Computer Society
頁面438-442
頁數5
ISBN(電子)9781479963140
DOIs
出版狀態Published - 2016 三月 21
事件9th International Conference on Sensing Technology, ICST 2015 - Auckland, New Zealand
持續時間: 2015 十二月 82015 十二月 11

出版系列

名字Proceedings of the International Conference on Sensing Technology, ICST
2016-March
ISSN(列印)2156-8065
ISSN(電子)2156-8073

Other

Other9th International Conference on Sensing Technology, ICST 2015
國家/地區New Zealand
城市Auckland
期間15-12-0815-12-11

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦科學應用
  • 訊號處理
  • 電氣與電子工程

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