Assessing media relevance via eye tracking

Cheng Ta Yang, Wen Sheng Chang, Fan Ning Cheng, Wei Guang Teng

研究成果: 書貢獻/報告類型會議貢獻

1 引文 斯高帕斯(Scopus)

摘要

To ease the problem of data overloading, it is crucial to understand the user behavior when s/he interacts with online contents, or more specifically, a web page containing several entries for further exploration. We devise to estimate the relevance of an entry to the user goal by observing eye movements as implicit feedback. Specifically, this study proposes a framework that assumes eye movement measures can be used to infer a user's cognition. A rating task was conducted in which subjects were required to judge whether an image was relevant to a word. Results showed that the total fixation duration and the fixation count can be used to discriminate between the relevant and irrelevant conditions; in contrast, the first fixation duration cannot. In addition, the subjective rating and relevancy manipulation interacted on the total fixation duration. Converging evidence verifies the assumption we have proposed.

原文英語
主出版物標題Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
頁面722-727
頁數6
DOIs
出版狀態已發佈 - 2011
對外發佈
事件2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011 - Kaohsiung, 臺灣
持續時間: 七月 25 2011七月 27 2011

出版系列

名字Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011

會議

會議2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
國家/地區臺灣
城市Kaohsiung
期間7/25/117/27/11

ASJC Scopus subject areas

  • 電腦網路與通信
  • 電氣與電子工程

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