Using Eye-Tracking with Dynamic Areas of Interest for Analyzing Interactive Information Retrieval

被引：0
|
作者：
Vu Tuan Tran [1 ]
Fuhr, Norbert [1 ]
机构：
[1] Univ Duisburg, Informat Engn, Duisburg, Germany
来源：
SIGIR 2012: PROCEEDINGS OF THE 35TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL | 2012年
关键词：
User Study; Interactive Retrieval; Eye-Tracking;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on a new framework for capturing dynamic areas of interest in eye-tracking, we model the user search process as a Markov-chain. The analysis indicates possible system improvements and yields parameter estimates for the Interactive Probability Ranking Principle (IPRP).
引用
收藏
页码：1165 / 1166
页数：2
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