On Modelling Cognitive Load During Reading Task

Hayder M. A. Ghanimi, Azizi Ab Aziz, Faudziah Ahmad

Human-Centred Computing Research Lab, School of Computing, College of Arts and Sciences, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia

E-mail: hayder.alghanami@gmail.com, {aziziaziz, fudz}@uum.edu.my

Page 55 – 61   |   Vol. 1, No. 1 (2016)   |    Available online on 1 September 2016

Abstract

One of the main challenges that hugely effect readers’ performance is cognitive load. It plays a pivotal role to facilitate readers to learn, memorize, and digest a piece of novel information. However, cognitive load can also have insignificant impacts on reading task when the cognitive demands of the reading task when to solve a complex problem. This article proposed a computational model of cognitive load during reading task, based on Cognitive Load theory, to get deep understandings on the dynamics of cognitive load and how the different types of load like intrinsic, extraneous and germane load are affecting the level of cognitive load. A number of simulation experiments were conducted and the results showed that the model is able to produce realistic behaviours under different personalities and conditions. Furthermore, an automated verification was implemented to evaluate the model.

Keywords

Cognitive Load, reading and learning, simulations, formal analysis, computational modelling.

Acknowledgement

This research was partially funded by Universiti Utara Malaysia Doctoral Research Scholarship.

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Human Factors & Ergonomics Journal (HFEJ), eISSN: 2590-3705  is the official Journal of Human Factors and Ergonomics Society Malaysia.  The journal is published on a biannual basis. HFEJ aims to address current research in the field of Ergonomics in addition to the broad coverage of cognitive ergonomics, user experience, physical ergonomics and others such as transportation, industrial design and industrial engineering. HFEJ is a member of, and subscribes to the principles of the COPE (Committee on Publication Ethics), as such we only accept original work.