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Paper Abstract and Keywords
Presentation 2017-07-27 13:50
Estimation of user interface by feature quantity of brain activity using NIRS
Mami Kitabata, Yasuhiro Inazumi, Tadanobu Misawa, Yuukou Horita (Univ. of Toyama), Osamu Sugimoto, Sei Naito (KDDI Research, Inc.) CQ2017-37
Abstract (in Japanese) (See Japanese page) 
(in English) When a user operates a smartphone, it is important to know usability. However, usability studies have relied on subjective assessments, which do not accurately reflect the user’s deep psyche. In this study, we try to predict user Interface(UI) from brain activity features. We found that each brain activity has some features. The experimental results showed that UI pattern could be predicted based on brain activity as measured via NIRS.
Keyword (in Japanese) (See Japanese page) 
(in English) NIRS(Near-InfraRed Spectroscopy) / usability / binary discrimination / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 159, CQ2017-37, pp. 49-54, July 2017.
Paper # CQ2017-37 
Date of Issue 2017-07-20 (CQ) 
ISSN Print edition: ISSN 0913-5685    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 CQ  
Conference Date 2017-07-27 - 2017-07-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Kobe University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Assessment, Measurement and Control of QoE and QoS, etc. 
Paper Information
Registration To CQ 
Conference Code 2017-07-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of user interface by feature quantity of brain activity using NIRS 
Sub Title (in English)  
Keyword(1) NIRS(Near-InfraRed Spectroscopy)  
Keyword(2) usability  
Keyword(3) binary discrimination  
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1st Author's Name Mami Kitabata  
1st Author's Affiliation University of Toyama (Univ. of Toyama)
2nd Author's Name Yasuhiro Inazumi  
2nd Author's Affiliation University of Toyama (Univ. of Toyama)
3rd Author's Name Tadanobu Misawa  
3rd Author's Affiliation University of Toyama (Univ. of Toyama)
4th Author's Name Yuukou Horita  
4th Author's Affiliation University of Toyama (Univ. of Toyama)
5th Author's Name Osamu Sugimoto  
5th Author's Affiliation KDDI Research, Inc. (KDDI Research, Inc.)
6th Author's Name Sei Naito  
6th Author's Affiliation KDDI Research, Inc. (KDDI Research, Inc.)
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Speaker Author-1 
Date Time 2017-07-27 13:50:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2017-37 
Volume (vol) vol.117 
Number (no) no.159 
Page pp.49-54 
#Pages
Date of Issue 2017-07-20 (CQ) 


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