Assessing media relevance via eye tracking

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

研究成果: Conference contribution

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English
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Published - 2011 九月 19
事件2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011 - Kaohsiung, Taiwan
持續時間: 2011 七月 252011 七月 27

出版系列

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

Other

Other2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
國家Taiwan
城市Kaohsiung
期間11-07-2511-07-27

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • 引用此

    Yang, C. T., Chang, W. S., Cheng, F. N., & Teng, W. G. (2011). Assessing media relevance via eye tracking. 於 Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011 (頁 722-727). [5992688] (Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011). https://doi.org/10.1109/ASONAM.2011.122