TY - GEN
T1 - Evaluation of distance learning on concentration and relax by EEG and HRV
T2 - 18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020
AU - Nakagawa, Yuri
AU - Sripian, Peeraya
AU - Sugaya, Midori
N1 - Publisher Copyright:
© 2020 Owner/Author.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/11/16
Y1 - 2020/11/16
N2 - 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.
AB - 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.
KW - COVID-19
KW - distance learning
KW - electroencephalography
KW - heart rate
UR - http://www.scopus.com/inward/record.url?scp=85097558181&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85097558181&partnerID=8YFLogxK
U2 - 10.1145/3384419.3430602
DO - 10.1145/3384419.3430602
M3 - Conference contribution
AN - SCOPUS:85097558181
T3 - SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems
SP - 762
EP - 763
BT - SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems
PB - Association for Computing Machinery, Inc
Y2 - 16 November 2020 through 19 November 2020
ER -