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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2015 9th International Conference on Sensing Technology, ICST 2015
PublisherIEEE Computer Society
Pages438-442
Number of pages5
ISBN (Electronic)9781479963140
DOIs
Publication statusPublished - 2016 Mar 21
Event9th International Conference on Sensing Technology, ICST 2015 - Auckland, New Zealand
Duration: 2015 Dec 82015 Dec 11

Publication series

NameProceedings of the International Conference on Sensing Technology, ICST
Volume2016-March
ISSN (Print)2156-8065
ISSN (Electronic)2156-8073

Other

Other9th International Conference on Sensing Technology, ICST 2015
CountryNew Zealand
CityAuckland
Period15-12-0815-12-11

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Cheng, P. Y., Su, Y. N., Chien, Y. C., Lai, C. H., Chen, G. Y., Lu, I. W., & Huang, Y. M. (2016). Develop an Attention Recognition Mechanism on e-book reading system by brainwave and visual. In 2015 9th International Conference on Sensing Technology, ICST 2015 (pp. 438-442). [7438438] (Proceedings of the International Conference on Sensing Technology, ICST; Vol. 2016-March). IEEE Computer Society. https://doi.org/10.1109/ICSensT.2015.7438438