Computational analysis of dynamics in an agent-based model of cognitive load and reading performance

• Main Authors: Ghanimi, Hayder M. A., Ab. Aziz, Azizi
• Other Authors: Saeed, Faisal
• Format: Book Section
• Language: English
• Published: Springer 2018
• Subjects: QA76 Computer software
• Online Access: http://repo.uum.edu.my/27048/1/978-3-319-99006-4%20207%20220.pdf; http://repo.uum.edu.my/27048/; http://doi.org/10.1007/978-3-319-99007-1_20

To avoid the development of cognitive load during task-specific actions, technologies like companion robots or intelligent systems may benefit from being aware of the dynamics of related mental performance constructs. As a first step toward the development of such systems, this paper uses an agent-based approach to formalize and simulate cognitive load processes within reading activities, which may involve specific assigned task. The obtained agent-based model is analysed both by mathematical analysis and automated trace evaluation. Based on this description, the proposed agent-based model has exhibited realistic behaviours patterns that adhere to the psychological and cognitive literature. Moreover, it is shown how the agent-based model can be integrated into intelligent systems that monitor and predict cognitive load over time and propose intelligent support actions based on that.