Presentation 2017-07-27
Estimation of user interface by feature quantity of brain activity using NIRS
Mami Kitabata, Yasuhiro Inazumi, Tadanobu Misawa, Yuukou Horita, Osamu Sugimoto, Sei Naito,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) NIRS(Near-InfraRed Spectroscopy) / usability / binary discrimination
Paper # CQ2017-37
Date of Issue 2017-07-20 (CQ)

Conference Information
Committee CQ
Conference Date 2017/7/27(2days)
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.
Chair Takanori Hayashi(HIT)
Vice Chair Hideyuki Shimonishi(NEC) / Jun Okamoto(NTT)
Secretary Hideyuki Shimonishi(Keio Univ.) / Jun Okamoto(NTT)
Assistant Norihiro Fukumoto(KDDI Research) / Kenko Ota(NIT) / Ryo Yamamoto(UEC)

Paper Information
Registration To Technical Committee on Communication Quality
Language JPN
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
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.)
Date 2017-07-27
Paper # CQ2017-37
Volume (vol) vol.117
Number (no) CQ-159
Page pp.pp.49-54(CQ),
#Pages 6
Date of Issue 2017-07-20 (CQ)