An ambient agent model for reading companion robot

Reading is essentially a problem-solving task. Based on what is read, like problem solving, it requires effort, planning, self-monitoring, strategy selection, and reflection. Also, as readers are trying to solve difficult problems, reading materials become more complex, thus demands more effort and...

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Main Author:	Ali, Hayder Mohammed Ali
Format:	Thesis
Language:	eng eng
Published:	2019
Subjects:	PN Literature (General) T Technology (General)
Online Access:	https://etd.uum.edu.my/8160/1/s900386_01.pdf https://etd.uum.edu.my/8160/2/s900386_02.pdf
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id	my-uum-etd.8160
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Ab Aziz, Azizi Ahmad, Faudziah
topic	PN Literature (General) T Technology (General)
spellingShingle	PN Literature (General) T Technology (General) Ali, Hayder Mohammed Ali An ambient agent model for reading companion robot
description	Reading is essentially a problem-solving task. Based on what is read, like problem solving, it requires effort, planning, self-monitoring, strategy selection, and reflection. Also, as readers are trying to solve difficult problems, reading materials become more complex, thus demands more effort and challenges cognition. To address this issue, companion robots can be deployed to assist readers in solving difficult reading tasks by making reading process more enjoyable and meaningful. These robots require an ambient agent model, monitoring of a reader’s cognitive demand as it could consist of more complex tasks and dynamic interactions between human and environment. Current cognitive load models are not developed in a form to have reasoning qualities and not integrated into companion robots. Thus, this study has been conducted to develop an ambient agent model of cognitive load and reading performance to be integrated into a reading companion robot. The research activities were based on Design Science Research Process, Agent-Based Modelling, and Ambient Agent Framework. The proposed model was evaluated through a series of verification and validation approaches. The verification process includes equilibria evaluation and automated trace analysis approaches to ensure the model exhibits realistic behaviours and in accordance to related empirical data and literature. On the other hand, validation process that involved human experiment proved that a reading companion robot was able to reduce cognitive load during demanding reading tasks. Moreover, experiments results indicated that the integration of an ambient agent model into a reading companion robot enabled the robot to be perceived as a social, intelligent, useful, and motivational digital side-kick. The study contribution makes it feasible for new endeavours that aim at designing ambient applications based on human’s physical and cognitive process as an ambient agent model of cognitive load and reading performance was developed. Furthermore, it also helps in designing more realistic reading companion robots in the future.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Ali, Hayder Mohammed Ali
author_facet	Ali, Hayder Mohammed Ali
author_sort	Ali, Hayder Mohammed Ali
title	An ambient agent model for reading companion robot
title_short	An ambient agent model for reading companion robot
title_full	An ambient agent model for reading companion robot
title_fullStr	An ambient agent model for reading companion robot
title_full_unstemmed	An ambient agent model for reading companion robot
title_sort	ambient agent model for reading companion robot
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2019
url	https://etd.uum.edu.my/8160/1/s900386_01.pdf https://etd.uum.edu.my/8160/2/s900386_02.pdf
_version_	1747828339168509952
spelling	my-uum-etd.81602022-02-16T01:45:57Z An ambient agent model for reading companion robot 2019 Ali, Hayder Mohammed Ali Ab Aziz, Azizi Ahmad, Faudziah Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts & Sciences PN Literature (General) T Technology (General) Reading is essentially a problem-solving task. Based on what is read, like problem solving, it requires effort, planning, self-monitoring, strategy selection, and reflection. Also, as readers are trying to solve difficult problems, reading materials become more complex, thus demands more effort and challenges cognition. To address this issue, companion robots can be deployed to assist readers in solving difficult reading tasks by making reading process more enjoyable and meaningful. These robots require an ambient agent model, monitoring of a reader’s cognitive demand as it could consist of more complex tasks and dynamic interactions between human and environment. Current cognitive load models are not developed in a form to have reasoning qualities and not integrated into companion robots. Thus, this study has been conducted to develop an ambient agent model of cognitive load and reading performance to be integrated into a reading companion robot. The research activities were based on Design Science Research Process, Agent-Based Modelling, and Ambient Agent Framework. The proposed model was evaluated through a series of verification and validation approaches. The verification process includes equilibria evaluation and automated trace analysis approaches to ensure the model exhibits realistic behaviours and in accordance to related empirical data and literature. On the other hand, validation process that involved human experiment proved that a reading companion robot was able to reduce cognitive load during demanding reading tasks. Moreover, experiments results indicated that the integration of an ambient agent model into a reading companion robot enabled the robot to be perceived as a social, intelligent, useful, and motivational digital side-kick. The study contribution makes it feasible for new endeavours that aim at designing ambient applications based on human’s physical and cognitive process as an ambient agent model of cognitive load and reading performance was developed. Furthermore, it also helps in designing more realistic reading companion robots in the future. 2019 Thesis https://etd.uum.edu.my/8160/ https://etd.uum.edu.my/8160/1/s900386_01.pdf text eng public https://etd.uum.edu.my/8160/2/s900386_02.pdf text eng public phd doctoral Universiti Utara Malaysia Aarts, E., & De Ruyter, B. (2009). New research perspectives on Ambient Intelligence. Journal of Ambient Intelligence and Smart Environments, 1(1), 5–14. Aziz, A. A., Ahmad, F., ChePa, N., & Yusof, S. A. M. (2013). 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