Capturing unselfconscious information seeking behavior by analyzing gaze patterns via eye tracking experiments

Guangyu Piao, Xiaokang Zhou, Qun Jin, Shoji Nishimura

研究成果: Conference contribution

抄録

In recent years, eye tracking has been widely applied in a variety of fields, such as web usability studies and psychological experiments. To develop a personalized system or network service, it is important to recognize and capture users' needs, situations and contexts in order to create an effective user model. In this paper, we present an integrated approach on how to capture users' unselfconscious information seeking behavior by analyzing their gaze patterns using an eye tracker. We describe the design of an eye tracking experiment, and analyze the eye tracking data to extract gaze patterns, which can be used for use modeling. We further discuss the experiment result and highlight our future work.

本文言語English
ホスト出版物のタイトル2013 IEEE Conference Anthology, ANTHOLOGY 2013
出版社IEEE Computer Society
ISBN(印刷版)9781479916603
DOI
出版ステータスPublished - 2013 1 1
イベント2013 IEEE Conference Anthology, ANTHOLOGY 2013 - , China
継続期間: 2013 1 12013 1 8

出版物シリーズ

名前2013 IEEE Conference Anthology, ANTHOLOGY 2013

Conference

Conference2013 IEEE Conference Anthology, ANTHOLOGY 2013
国/地域China
Period13/1/113/1/8

ASJC Scopus subject areas

  • 電子工学および電気工学

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