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

Guangyu Piao, Xiaokang Zhou, Qun Jin, Shoji Nishimura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2013 IEEE Conference Anthology, ANTHOLOGY 2013
PublisherIEEE Computer Society
ISBN (Print)9781479916603
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 IEEE Conference Anthology, ANTHOLOGY 2013 - , China
Duration: 2013 Jan 12013 Jan 8

Publication series

Name2013 IEEE Conference Anthology, ANTHOLOGY 2013

Conference

Conference2013 IEEE Conference Anthology, ANTHOLOGY 2013
CountryChina
Period13/1/113/1/8

Keywords

  • eye tracking
  • gaze patterns
  • personalization
  • user model

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Piao, G., Zhou, X., Jin, Q., & Nishimura, S. (2013). Capturing unselfconscious information seeking behavior by analyzing gaze patterns via eye tracking experiments. In 2013 IEEE Conference Anthology, ANTHOLOGY 2013 [6784762] (2013 IEEE Conference Anthology, ANTHOLOGY 2013). IEEE Computer Society. https://doi.org/10.1109/ANTHOLOGY.2013.6784762