Hidden Markov Model for Inferring Learner Task Using Mouse Movement

2014/05/20 by Anis Elbahi, Anis, Elbahi, Mohamed Ali Mahjoub +3
Computer Science · Social Sciences · #Advanced Computing and Algorithms #FOS: Computer and information sciences #Gaze Tracking and Assistive Technology #Hand Gesture Recognition Systems #Human-Computer Interaction (cs.HC)

paper · pdf · doi:10.48550/arxiv.1405.5249

openalex publication_date 2014/05/20 · openalex created_date 2019/06/27 · openalex updated_date 2026/07/28

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.

Citations

• A tutorial on hidden Markov models and selected applications in speech recognition

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