Hidden Markov Model for Inferring User Task Using Mouse Movement

被引：0
|
作者：
Elbahi, Anis [1 ]
Mahjoub, Mohamed Ali [2 ]
Omri, Mohamed Nazih [1 ]
机构：
[1] Fac Sci Monastir, Dept Comp Sci, Res Unit MARS, Monastir, Tunisia
[2] Natl Engn Sch Sousse, Res Unit SAGE, Sousse, Tunisia
来源：
2013 FOURTH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY AND ACCESSIBILITY (ICTA) | 2013年
关键词：
E-Learning web based application; Accessibility; Interaction analysis; Hidden Markov Models; Mouse movements; Task inference; SOFTWARE;
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：
The assistive technology and e-learning have been widely used to improve web accessibility for disabled users. One of the issues of online web-based applications is to understand how a user interacts with online application and the strategy by which he reasons to perform a given activity. Know what the web user is doing can provide useful clues to better understand his behavior in order to guide him in his interaction process. This study proposes a methodology to analyze user mouse movement in order to infer the task performed by the user. To do this, a Hidden Markov Model is used for modeling the interaction of the learner with an e-learning application. The obtained results show the ability of our model to analyze the interaction in order to recognize the task performed by the learner.
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页数：7
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