English

Hidden Markov Model for Inferring Learner Task Using Mouse Movement

Human-Computer Interaction 2014-05-22 v1

Abstract

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.

Keywords

Cite

@article{arxiv.1405.5249,
  title  = {Hidden Markov Model for Inferring Learner Task Using Mouse Movement},
  author = {Elbahi Anis and Mohamed Ali Mahjoub and Mohamed Nazih Omri},
  journal= {arXiv preprint arXiv:1405.5249},
  year   = {2014}
}

Comments

Fourth International Conference on Information and Communication Technology and Accessibility (ICTA), 2013

R2 v1 2026-06-22T04:19:26.410Z