Evaluation of distance learning on concentration and relax by EEG and HRV: Poster abstract

研究成果: Conference contribution

抄録

Distance learning, for which the demand is increasing due to the recent expansion of the COVID-19 pandemic, pointed out the problem of less communication level that it would reduce student's concentration level in the study. However, there is no clear and objective evidence about such effect on the concentration level. In this work, we propose a method to objectively evaluate distance learning with the biometric information to understand the difference of the student's concentration level during the study. We measure the student's electroencephalography (EEG) and heart rate variability (HRV) to evaluate the concentration level by observing the change of student's emotion based on different communication condition during distance learning. In the experiment, we measured EEG and HRV of the students, while turning on and off face-to-face (FTF) video camera. The analysis of EEG and HRV results show that different communication condition effect student's concentration level. We found that their emotional states are different when the video is turned on and off and also found that it could be due to their preferences of the subject.

本文言語English
ホスト出版物のタイトルSenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems
出版社Association for Computing Machinery, Inc
ページ762-763
ページ数2
ISBN(電子版)9781450375900
DOI
出版ステータスPublished - 2020 11 16
イベント18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020 - Virtual, Online, Japan
継続期間: 2020 11 162020 11 19

出版物シリーズ

名前SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems

Conference

Conference18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020
国/地域Japan
CityVirtual, Online
Period20/11/1620/11/19

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 電子工学および電気工学
  • コンピュータ ネットワークおよび通信

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