Eye-tracking experiment design for extraction of viewing patterns in social media

Guangyu Piao, Qun Jin, Xiaokang Zhou, Shoji Nishimura, Kanoksak Wattanachote, Timothy K. Shih, Neil Y. Yen

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

2 Citations (Scopus)

Abstract

Recently, eye-tracking has been widely applied in a wide spectrum of fields for both academic researches and Business. In this study, we concentrate on the analysis of instant (and often subconscious) information generated from interactions between an individual and devices, such as a PC, laptop, and mobile phone. We present the experiment design to capture and extract the viewing patterns in Twitter using the eye-tracking technology. We show a set of experiment results based on the analysis of eye gazing data, in order to demonstrate how the subjects look for specified keywords in the Twitter timeline, which can further contribute to categorization of viewing patterns.

Original languageEnglish
Title of host publicationProceedings - IEEE 10th International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and IEEE 10th International Conference on Autonomic and Trusted Computing, ATC 2013
Pages308-313
Number of pages6
DOIs
Publication statusPublished - 2013 Dec 1
Event10th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and 10th IEEE International Conference on Autonomic and Trusted Computing, ATC 2013 - Vietri sul Mare, Italy
Duration: 2013 Dec 182013 Dec 21

Publication series

NameProceedings - IEEE 10th International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and IEEE 10th International Conference on Autonomic and Trusted Computing, ATC 2013

Conference

Conference10th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and 10th IEEE International Conference on Autonomic and Trusted Computing, ATC 2013
CountryItaly
CityVietri sul Mare
Period13/12/1813/12/21

Keywords

  • Browsing behavior
  • Eye-tracking
  • Gaze patterns
  • Social media

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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