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Volume 41 Issue 5
May  2015
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Journal of Beijing University of Aeronautics and Astronautics  > 2015  >  41(5): 904-910.
LU Wanxuan, JIA Yunde. Predicting web search behavior based on gaze data[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(5): 904-910. doi: 10.13700/j.bh.1001-5965.2014.0464(in Chinese)
Citation: LU Wanxuan, JIA Yunde. Predicting web search behavior based on gaze data[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(5): 904-910. doi: 10.13700/j.bh.1001-5965.2014.0464(in Chinese)
shu

Predicting web search behavior based on gaze data

doi: 10.13700/j.bh.1001-5965.2014.0464

  • Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, China

  • Received Date: 28 Apr 2014
  • Rev Recd Date: 01 Aug 2014
  • Publish Date: 20 May 2015
    Abstract
  • Predicting user's web search behavior is important for search engine improvements and user experience enhancements. Most existing studies are based on user's interaction data, including queries, clicks, cursor movements, etc. The prediction of web search behavior using gaze data was presented. To capture user's eye movement data during web search tasks, an eye-tracking study was conducted and the data were transformed into two data formats: histogram and sequence. The histogram data describes the distribution of user's attention while the sequence data presents user's scan path. Four learning methods were used to predict user decision or user intent and investigate the performances of the two data formats at the same time. The results show that the two data formats are both suitable for user decision prediction, and the sequence data is more suitable for user intent prediction. The results also demonstrate the effectiveness of web search behavior prediction using gaze data.

     

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