Title :
Hidden Markov model for inferring user task using mouse movement
Author :
Elbahi, Anis ; Mahjoub, Mohamed Ali ; Omri, Mohamed Nazih
Author_Institution :
Dept. of Comput. Sci., Fac. of Sci. of Monastir, Monastir, Tunisia
Abstract :
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.
Keywords :
Internet; computer aided instruction; handicapped aids; hidden Markov models; mouse controllers (computers); Web accessibility; assistive technology; disabled users; e-learning; hidden Markov model; learner interaction modeling; mouse movement; online Web-based applications; task recognition; user task inference; Electronic learning; Hidden Markov models; Mathematical model; Mice; Stochastic processes; Tracking; Trajectory; Accessibility; E-Learning web based application; Hidden Markov Models; Interaction analysis; Mouse movements; Task inference;
Conference_Titel :
Information and Communication Technology and Accessibility (ICTA), 2013 Fourth International Conference on
Conference_Location :
Hammamet
DOI :
10.1109/ICTA.2013.6815305
