An Agent-Based Model for Refined Cognitive Load and Reading Performance in Reading Companion Robot

Authors

  • Hayder M. A. Ghanimi Cognitive Artefacts Group, Human-Centred Computing Research Lab, School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia.
  • Azizi Ab Aziz Cognitive Artefacts Group, Human-Centred Computing Research Lab, School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia.
  • Faudziah Ahmad Cognitive Artefacts Group, Human-Centred Computing Research Lab, School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia.

Keywords:

Agent-Based Modeling, Dynamic Behaviour, Reading Performance, Simulation, Software Agent,

Abstract

This paper presents the importance of modeling dynamical behaviors of human cognitive states that serves as a core foundation in creating intelligent and responsive systems. It discusses in detail the development of a dynamical model of cognitive load and reading performance which acts as the central component of creating a reading companion robot. Simulations results show realistic behaviour patterns that adhere to the literature. Finally, the results produced from an automated verification approach to validate the internal correctness of the proposed model using Temporal Trace Language (TTL) are shown.

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Published

2017-10-20

How to Cite

Ghanimi, H. M. A., Ab Aziz, A., & Ahmad, F. (2017). An Agent-Based Model for Refined Cognitive Load and Reading Performance in Reading Companion Robot. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-5), 55–59. Retrieved from https://jtec.utem.edu.my/jtec/article/view/2963

Issue

Vol. 9 No. 3-5: Special Issue on Software Engineering III

Section

Articles

License

Copyright (c) 2024 Journal of Telecommunication, Electronic and Computer Engineering

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

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