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:English
English
Published: 2019
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Online Access:https://etd.uum.edu.my/8160/1/s900386_01.pdf
https://etd.uum.edu.my/8160/2/s900386_02.pdf
https://etd.uum.edu.my/8160/
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spelling my.uum.etd.81602022-02-16T01:45:57Z https://etd.uum.edu.my/8160/ An ambient agent model for reading companion robot Ali, Hayder Mohammed Ali 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 NonPeerReviewed text en https://etd.uum.edu.my/8160/1/s900386_01.pdf text en https://etd.uum.edu.my/8160/2/s900386_02.pdf Ali, Hayder Mohammed Ali (2019) An ambient agent model for reading companion robot. Doctoral thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
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
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
publishDate 2019
url https://etd.uum.edu.my/8160/1/s900386_01.pdf
https://etd.uum.edu.my/8160/2/s900386_02.pdf
https://etd.uum.edu.my/8160/
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score 13.211869