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Paper Abstract and Keywords
Presentation 2017-08-27 13:50
[Poster Presentation] Estimation of user interface pattern using features in brain activity
Mami Kitabata, Yasuhiro Inazumi, Tadanobu Misawa, Yuukou Horita (Univ. of Toyama), Osamu Sugimoto, Sei Naito (KDDI Research, Inc.)
Abstract (in Japanese) (See Japanese page) 
(in English) Heretofore, a subjective evaluation was used for evaluating the usability of a user interface (UI) such as a smartphone. However, the subjective evaluation does not accurately reflect the user's deep psychology. Therefore, in this research, we focus on brain activity and aim to estimate the pattern of user interface (UI) from the features of brain activity. The UI pattern of this research is a radio button and a check box (all unchecked). In this study, we analyze the data obtained by brain activity measurement and extract features quantity. As an estimation method, SVM (support vector machine) is used. Estimated model was constructed with closed data. And, Estimation accuracy was conducted with open data. As a result, for all subjects, high accuracy was obtained with closed data. Also, for specific subjects, high estimation accuracy of 0.8 or more was obtained with open data. In the case of the subjects with high discrimination accuracy of open data, was following. With the check box (all unchecked) of the UI pattern, it was found that the peak time appeared between 3 to 6 seconds. Also, the slope of the linear approximation tended to decrease. On the other hand, with the radio button of the UI pattern, it was found that there was no fixed trend in the peak time and the slope of the linear approximation.
Keyword (in Japanese) (See Japanese page) 
(in English) NIRS(Near-InfraRed Spectroscopy) / usability / binary discrimination / User Interface(UI) / / / /  
Reference Info. IEICE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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Conference Information
Committee CQ  
Conference Date 2017-08-26 - 2017-08-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Nippon Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 2nd Communication Quality Student Workshop 
Paper Information
Registration To CQ 
Conference Code 2017-08-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of user interface pattern using features in brain activity 
Sub Title (in English)  
Keyword(1) NIRS(Near-InfraRed Spectroscopy)  
Keyword(2) usability  
Keyword(3) binary discrimination  
Keyword(4) User Interface(UI)  
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 2017-08-27 13:50:00 
Presentation Time 60 minutes 
Registration for CQ 
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