Hidden Markov Model for Inferring Learner Task Using Mouse Movement
  One of the issues of e-learning web based application is to understand how the learner interacts with an e-learning application to perform a given task. This study proposes a methodology to analyze learner mouse movement in order to infer the task performed. 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. 
Elbahi Anis, Mohamed Ali Mahjoub, Mohamed Nazih Omri
cs.HC