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Paper Abstract and Keywords
Presentation 2023-03-15 14:00
Methods for Estimating Problematic Parts in Presentations Based on Analysis of Slide Data and Audiences' Unconscious Responses
Ko Saito (Fukushima Univ.), Hiroki Nakayama (Yamagata Univ.), Ryo Onuma (Tsuda Univ.), Hiroaki Kaminaga (Fukushima Univ.), Youzou Miyadera (Tokyo Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.) ET2022-88
Abstract (in Japanese) (See Japanese page) 
(in English) Presentation is one of the important means of explaining the results and progress of creative works. Particularly, presentations using slides have been widely performed and there is an increasing need to train the skills to elaborate presentations. It is required for students to understand the problematic parts in slides in order to improve slides by themselves. However, such grasp is often difficult for inexperienced students. Currently, professors have no choice but to point out the problem areas manually and its costs prevent professors from sufficient indication of noteworthy portion. In this research, we have been aiming at developing methods for estimating the problematic parts in slides based on the analysis of slide data and audiences' unconscious responses. In this paper, we describes the estimation methods that takes into account both extraction accuracy and explainability. We also discuss the effectiveness of the proposed methods based on the results of experiments using the prototype.
Keyword (in Japanese) (See Japanese page) 
(in English) Gaze movement / Slide constructive features / Defect position in presentation slides / Slide elaboration support / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 431, ET2022-88, pp. 178-183, March 2023.
Paper # ET2022-88 
Date of Issue 2023-03-07 (ET) 
ISSN Online edition: ISSN 2432-6380
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 ET2022-88

Conference Information
Committee ET  
Conference Date 2023-03-14 - 2023-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokushima University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) AI Education Design, etc. 
Paper Information
Registration To ET 
Conference Code 2023-03-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Methods for Estimating Problematic Parts in Presentations Based on Analysis of Slide Data and Audiences' Unconscious Responses 
Sub Title (in English)  
Keyword(1) Gaze movement  
Keyword(2) Slide constructive features  
Keyword(3) Defect position in presentation slides  
Keyword(4) Slide elaboration support  
1st Author's Name Ko Saito  
1st Author's Affiliation Fukushima University (Fukushima Univ.)
2nd Author's Name Hiroki Nakayama  
2nd Author's Affiliation Yamagata University (Yamagata Univ.)
3rd Author's Name Ryo Onuma  
3rd Author's Affiliation Tsuda University (Tsuda Univ.)
4th Author's Name Hiroaki Kaminaga  
4th Author's Affiliation Fukushima University (Fukushima Univ.)
5th Author's Name Youzou Miyadera  
5th Author's Affiliation Tokyo Gakugei University (Tokyo Gakugei Univ.)
6th Author's Name Shoichi Nakamura  
6th Author's Affiliation Fukushima University (Fukushima Univ.)
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Speaker Author-1 
Date Time 2023-03-15 14:00:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2022-88 
Volume (vol) vol.122 
Number (no) no.431 
Page pp.178-183 
Date of Issue 2023-03-07 (ET) 

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