mailto:uumlib@uum.edu.my 24x7 Service; AnyTime; AnyWhere

An agent-based model for refined cognitive load and reading performance in reading companion robot

Ghanimi, Hayder M. A. and Ab. Aziz, Azizi and Ahmad, Faudziah (2017) An agent-based model for refined cognitive load and reading performance in reading companion robot. Journal of Telecommunication, Electronic and Computer Engineering, 9 (3-5). pp. 55-59. ISSN 2180-1843

[thumbnail of JTECE 9 35 2017 55 59.pdf] PDF
Restricted to Registered users only

Download (1MB) | Request a copy

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.

Item Type: Article
Uncontrolled Keywords: Agent-Based Modeling; Dynamic Behaviour; Reading Performance; Simulation; Software Agent.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Computing
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 28 May 2019 00:41
Last Modified: 28 May 2019 00:41
URI: https://repo.uum.edu.my/id/eprint/26085

Actions (login required)

View Item View Item