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

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - IEEE 10th International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and IEEE 10th International Conference on Autonomic and Trusted Computing, ATC 2013
ページ308-313
ページ数6
DOI
出版ステータスPublished - 2013 12 1
イベント10th 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
継続期間: 2013 12 182013 12 21

出版物シリーズ

名前Proceedings - 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
国/地域Italy
CityVietri sul Mare
Period13/12/1813/12/21

ASJC Scopus subject areas

  • 人工知能
  • ソフトウェア

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