User-oriented document summarization through vision-based eye-tracking
User-oriented document summarization through vision-based eye-tracking
复制标题
通过基于视觉的眼动追踪进行面向用户的文档摘要
DOI：
10.1145/1502650.1502656
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
F. Lau
中科院分区：
文献类型：
--
作者：
Songhua Xu;Hao Jiang;F. Lau
我们提出了一种个性化的新文档摘要算法。关键的想法是依靠单个用户在文档中花费在单个单词上的注意力（阅读时间）作为基本线索。用户对文档中每个单词的关注的预测是基于用户在以前的读物中的注意，该读物是通过基于视觉的商品眼球追踪机制获取的。一旦已知用户对一小部分单词的关注，我们的算法就可以通过单词语义分析来预测文档中每个单词的注意力。然后，我们的算法会根据用户对文档中每个单独单词的关注进行汇总。使用算法，我们开发了文档摘要原型系统。将我们的算法产生的实验结果与用户手动汇总的算法以及商业摘要软件进行了比较，该软件清楚地证明了我们新算法在面向用户的文档摘要中的优势。
We propose a new document summarization algorithm which is personalized. The key idea is to rely on the attention (reading) time of individual users spent on single words in a document as the essential clue. The prediction of user attention over every word in a document is based on the user's attention during his previous reads, which is acquired via a vision-based commodity eye-tracking mechanism. Once the user's attentions over a small collection of words are known, our algorithm can predict the user's attention over every word in the document through word semantics analysis. Our algorithm then summarizes the document according to user attention on every individual word in the document. With our algorithm, we have developed a document summarization prototype system. Experiment results produced by our algorithm are compared with the ones manually summarized by users as well as by commercial summarization software, which clearly demonstrates the advantages of our new algorithm for user-oriented document summarization.
影响因子：
5
作者：
Erkan, G;Radev, DR
通讯作者：
Radev, DR