Presentation 2012-01-20
Study on Presumption Method of User Interest Level Using Brain Waves
Takuya KOUDA, Yoshihiro NIITSU,
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Abstract(in English) In the Internet, the information filtering technology which recommends interested contents for users, has been utilized in recent years. Usually, interest contents are presumed using action histories of users such as searching words or access histories. In the case of an information site which a user can access easily, there is no necessity that users access spontaneously. Therefore, these presumptions of user interest level are rather difficult. Then, the research which presumes the degree of interest using brain waves was proposed. We have proposed the method which presumes user interested level by taking into consideration of the deviation of the brain waves based on contents. This leads to improvement of presumption accuracy rate. Effectiveness of the proposed system was clarified by the experiment.
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Keyword(in English) Brain Waves / User Interest Level / Web Browsing
Paper # USN2011-77
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Conference Date 2012/1/12(1days)
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Registration To Ubiquitous and Sensor Networks(USN)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Study on Presumption Method of User Interest Level Using Brain Waves
Sub Title (in English)
Keyword(1) Brain Waves
Keyword(2) User Interest Level
Keyword(3) Web Browsing
1st Author's Name Takuya KOUDA
1st Author's Affiliation Graduate School of Engineering, Shibaura Institute of Technology()
2nd Author's Name Yoshihiro NIITSU
2nd Author's Affiliation Graduate School of Engineering, Shibaura Institute of Technology
Date 2012-01-20
Paper # USN2011-77
Volume (vol) vol.111
Number (no) 386
Page pp.pp.-
#Pages 5
Date of Issue