Presentation 2008-01-26
Identification of User's Interested Areas based on Eye Fixation Duration and BVP Height during Web Browsing
Aya FUKASAWA, Masaki OMATA, Atsumi IMAMIYA,
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Abstract(in English) This paper describes an analysis technique to identify user's interested areas on a Web page by analyzing eye-tracking data and BVP (Blood Volume Pulse) during Web browsing. We represent that eye fixation duration becomes longer, pupil diameter becomes bigger, and BVP amplitude height becomes smaller in the interested areas. We determine the thresholds for each biological data. Moreover, we identify interested areas when biological data are over the thresholds. BVP amplitude height is effective biological data to detect interested areas. Therefore, to analysis BVP and eye-tracking data is able to identify more reliable interested areas than to analysis only eye-tracking data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Web usability / interested area / BVP amplitude height / eye fixation duration
Paper # ET2007-69
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Committee ET
Conference Date 2008/1/19(1days)
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Paper Information
Registration To Educational Technology (ET)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Identification of User's Interested Areas based on Eye Fixation Duration and BVP Height during Web Browsing
Sub Title (in English)
Keyword(1) Web usability
Keyword(2) interested area
Keyword(3) BVP amplitude height
Keyword(4) eye fixation duration
1st Author's Name Aya FUKASAWA
1st Author's Affiliation University of Yamanashi()
2nd Author's Name Masaki OMATA
2nd Author's Affiliation University of Yamanashi
3rd Author's Name Atsumi IMAMIYA
3rd Author's Affiliation University of Yamanashi
Date 2008-01-26
Paper # ET2007-69
Volume (vol) vol.107
Number (no) 462
Page pp.pp.-
#Pages 6
Date of Issue