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

Guangyu Piao; Xiaokang Zhou; Qun Jin; Shoji Nishimura

doi:10.1109/ANTHOLOGY.2013.6784762

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

Guangyu Piao, Xiaokang Zhou, Qun Jin, Shoji Nishimura

School of Human Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2013 IEEE Conference Anthology, ANTHOLOGY 2013
Publisher	IEEE Computer Society
ISBN (Print)	9781479916603
DOIs	https://doi.org/10.1109/ANTHOLOGY.2013.6784762
Publication status	Published - 2013 Jan 1
Event	2013 IEEE Conference Anthology, ANTHOLOGY 2013 - , China Duration: 2013 Jan 1 → 2013 Jan 8

Publication series

Name	2013 IEEE Conference Anthology, ANTHOLOGY 2013

Conference

Conference	2013 IEEE Conference Anthology, ANTHOLOGY 2013
Country/Territory	China
Period	13/1/1 → 13/1/8

Keywords

eye tracking
gaze patterns
personalization
user model

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ANTHOLOGY.2013.6784762

Cite this

Capturing unselfconscious information seeking behavior by analyzing gaze patterns via eye tracking experiments. / Piao, Guangyu; Zhou, Xiaokang; Jin, Qun et al.

2013 IEEE Conference Anthology, ANTHOLOGY 2013. IEEE Computer Society, 2013. 6784762 (2013 IEEE Conference Anthology, ANTHOLOGY 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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, 2013 IEEE Conference Anthology, ANTHOLOGY 2013, China, 13/1/1. https://doi.org/10.1109/ANTHOLOGY.2013.6784762

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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.",

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author = "Guangyu Piao and Xiaokang Zhou and Qun Jin and Shoji Nishimura",

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N2 - 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.

AB - 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.

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KW - gaze patterns

KW - personalization

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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