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Paper Abstract and Keywords
Presentation 2023-01-27 10:25
Comparison of brain activity when viewing presentation videos with different features -- Evaluation based on topic difficulty and explanation skills --
Takahiro Morita, Liang Zhang, Atsushi Nagate (SoftBank), Maryam Alimardani, Shuichi Nishio (Osaka Univ) MVE2022-41
Abstract (in Japanese) (See Japanese page) 
(in English) EEG was used to sense brain activity when viewing four types of presentation videos with different "topic difficulty" and "explanation skills", and after generating multiple patterns of feature values from the EEG data, the difference between the two types was evaluated. As a result of Wilcoxon test with six evaluation cases, it was confirmed that the feature value that makes it easy to distinguish between the two types differs for each evaluation case. In addition, in the evaluation of the correct answer rate using machine learning, when we generated classifiers for 16 experiment participants, we recorded a maximum correct answer rate of 71% (+21% from the chance level), and we also confirmed the superiority of using multiple feature values generated from theta, alpha, and beta waves at the same time.
Keyword (in Japanese) (See Japanese page) 
(in English) EEG / Presentation / Topic difficulty / Explanation skill / Understanding / Machine learning / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 367, MVE2022-41, pp. 37-42, Jan. 2023.
Paper # MVE2022-41 
Date of Issue 2023-01-19 (MVE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MVE2022-41

Conference Information
Committee MVE IPSJ-CVIM VRSJ-SIG-MR  
Conference Date 2023-01-26 - 2023-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Nara Institute of Science and Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2023-01-MVE-CVIM-SIG-MR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Comparison of brain activity when viewing presentation videos with different features 
Sub Title (in English) Evaluation based on topic difficulty and explanation skills 
Keyword(1) EEG  
Keyword(2) Presentation  
Keyword(3) Topic difficulty  
Keyword(4) Explanation skill  
Keyword(5) Understanding  
Keyword(6) Machine learning  
Keyword(7)  
Keyword(8)  
1st Author's Name Takahiro Morita  
1st Author's Affiliation SoftBank Corporation (SoftBank)
2nd Author's Name Liang Zhang  
2nd Author's Affiliation SoftBank Corporation (SoftBank)
3rd Author's Name Atsushi Nagate  
3rd Author's Affiliation SoftBank Corporation (SoftBank)
4th Author's Name Maryam Alimardani  
4th Author's Affiliation Osaka University (Osaka Univ)
5th Author's Name Shuichi Nishio  
5th Author's Affiliation Osaka University (Osaka Univ)
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Speaker Author-1 
Date Time 2023-01-27 10:25:00 
Presentation Time 25 minutes 
Registration for MVE 
Paper # MVE2022-41 
Volume (vol) vol.122 
Number (no) no.367 
Page pp.37-42 
#Pages 6 
Date of Issue 2023-01-19 (MVE) 

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