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Paper Abstract and Keywords
Presentation 2021-09-17 10:55
Beverage's preference estimation based on emotional reaction and EEG activity
Kuangzhe Xu (KGU), Kenji Katahira (WU), Yoichi Yamazaki, zhang fan, Naoki Nishida, Yuichiro Tamai (KGU), Naoyuki Matsuzaki (Suntory Global Innovation Center), Noriko Nagata (KGU) HIP2021-27
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, many studies have tried to quantify Kansei values and found that human psychological and physiological reactions have certain effects. To further examine the relationships among psychological reactions, physiological reactions, and Kansei values, the main purpose of this study is to construct a predictive model for beverage preference evaluation. However, we found that the problem of how to obtain psychological and physiological reaction data without affecting people’s Kansei value evaluations has not been solved well. Therefore, this study proposes using an arm robot instead of a human to perform a series of actions when drinking, which solves the problem of measuring psychological and physiological reactions simultaneously. Using the psychological and physiological reactions collected by this method, we completed a predictive model of people’s preference evaluations. Our model’s prediction accuracy is higher than that of the model using psychological evaluation or physiological reaction alone. This result proves again that psychological and physiological reactions do affect people’s preference evaluation simultaneously. Through the model comparison, we also get the result that the evaluation of people’s preference for beverages has been formed in tasting the beverages in the mouth.
Keyword (in Japanese) (See Japanese page) 
(in English) Estimated model / Conscious and unconscious psychological reactions / Kansei value / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 177, HIP2021-27, pp. 31-36, Sept. 2021.
Paper # HIP2021-27 
Date of Issue 2021-09-09 (HIP) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee HIP  
Conference Date 2021-09-16 - 2021-09-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Online (Zoom) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Face & Body, etc. 
Paper Information
Registration To HIP 
Conference Code 2021-09-HIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Beverage's preference estimation based on emotional reaction and EEG activity 
Sub Title (in English)  
Keyword(1) Estimated model  
Keyword(2) Conscious and unconscious psychological reactions  
Keyword(3) Kansei value  
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1st Author's Name Kuangzhe Xu  
1st Author's Affiliation Kwansei Gakuin University (KGU)
2nd Author's Name Kenji Katahira  
2nd Author's Affiliation Waseda University (WU)
3rd Author's Name Yoichi Yamazaki  
3rd Author's Affiliation Kwansei Gakuin University (KGU)
4th Author's Name zhang fan  
4th Author's Affiliation Kwansei Gakuin University (KGU)
5th Author's Name Naoki Nishida  
5th Author's Affiliation Kwansei Gakuin University (KGU)
6th Author's Name Yuichiro Tamai  
6th Author's Affiliation Kwansei Gakuin University (KGU)
7th Author's Name Naoyuki Matsuzaki  
7th Author's Affiliation Suntory Global Innovation Center Limited (Suntory Global Innovation Center)
8th Author's Name Noriko Nagata  
8th Author's Affiliation Kwansei Gakuin University (KGU)
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Speaker Author-1 
Date Time 2021-09-17 10:55:00 
Presentation Time 25 minutes 
Registration for HIP 
Paper # HIP2021-27 
Volume (vol) vol.121 
Number (no) no.177 
Page pp.31-36 
#Pages
Date of Issue 2021-09-09 (HIP) 


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