@inproceedings{f58b31e58c5643b2bd90aaec23a97be2,
title = "Eye-tracking experiment design for extraction of viewing patterns in social media",
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.",
keywords = "Browsing behavior, Eye-tracking, Gaze patterns, Social media",
author = "Guangyu Piao and Qun Jin and Xiaokang Zhou and Shoji Nishimura and Kanoksak Wattanachote and Shih, {Timothy K.} and Yen, {Neil Y.}",
year = "2013",
doi = "10.1109/UIC-ATC.2013.45",
language = "???core.languages.en_GB???",
isbn = "9781479924813",
series = "Proceedings - IEEE 10th International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and IEEE 10th International Conference on Autonomic and Trusted Computing, ATC 2013",
pages = "308--313",
booktitle = "Proceedings - IEEE 10th International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and IEEE 10th International Conference on Autonomic and Trusted Computing, ATC 2013",
note = "10th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and 10th IEEE International Conference on Autonomic and Trusted Computing, ATC 2013 ; Conference date: 18-12-2013 Through 21-12-2013",
}