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Paper Abstract and Keywords
Presentation 2025-05-22 09:10
Proposal and Evaluation of a Method of Estimating Emotional State during Art Appreciation based on Facial and Behavioral Data
Yohei Torigaki, Yuki Matsuda (Okayama Univ.) SeMI2025-6
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, museums have been increasingly expected to facilitate communication in order to meet the intellectual needs of visitors. Although museum educators—experts in learning within museums and art galleries—have been employed to fulfill this role, there remains a persistent shortage of personnel. While systems such as audio guides are anticipated to serve as substitutes, a significant gap still exists between these systems and human guidance. Therefore, this study proposes a method to estimate the emotional state of museum visitors, aiming to provide dynamic guidance tailored to individual interests and concerns. To establish a method for emotional state estimation, we conducted a data collection experiment using a newly developed guidance system equipped with sensing capabilities at the Ohara Museum of Art, involving 30 participants. Based on the collected data of facial expressions and gestures, we constructed and evaluated a emotional state estimation model. As a result, the binary emotion classification model for positive and negative emotions achieved an accuracy of 64%. On the other hand, regression models for satisfaction, comprehension, and confusion did not yield effective results; however, some degree of correlation was observed, providing insights for future improvements.
Keyword (in Japanese) (See Japanese page) 
(in English) Museum / Emotion estimation / Machine learning / Guidance system / Dataset / Multi-modal sensing / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 29, SeMI2025-6, pp. 31-36, May 2025.
Paper # SeMI2025-6 
Date of Issue 2025-05-14 (SeMI) 
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)
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Conference Information
Committee SeMI IPSJ-MBL IPSJ-ITS IPSJ-DPS  
Conference Date 2025-05-21 - 2025-05-23 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2025-05-SeMI-MBL-ITS-DPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal and Evaluation of a Method of Estimating Emotional State during Art Appreciation based on Facial and Behavioral Data 
Sub Title (in English)  
Keyword(1) Museum  
Keyword(2) Emotion estimation  
Keyword(3) Machine learning  
Keyword(4) Guidance system  
Keyword(5) Dataset  
Keyword(6) Multi-modal sensing  
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Keyword(8)  
1st Author's Name Yohei Torigaki  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Yuki Matsuda  
2nd Author's Affiliation Okayama University (Okayama Univ.)
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Speaker Author-1 
Date Time 2025-05-22 09:10:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SeMI2025-6 
Volume (vol) vol.125 
Number (no) no.29 
Page pp.31-36 
#Pages 6 
Date of Issue 2025-05-14 (SeMI) 

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