Computational dynamic support model for social support assignments around stressed individuals among graduate students

Configuring the best resources for optimal overall performance is one of the challenging topics in Computer Science domains. Within the domain of intelligent social support assignment applications to help individuals with stress, it requires important aspects of configuring a possible set of input a...

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Main Author:	Al-Shorman, Roqia Rateb
Format:	Thesis
Language:	eng eng eng eng
Published:	2020
Subjects:	QA75 Electronic computers Computer science
Online Access:	https://etd.uum.edu.my/8684/1/Deposit%20Permission_s900022.pdf https://etd.uum.edu.my/8684/2/s900022_01.pdf https://etd.uum.edu.my/8684/3/s900022_02.pdf https://etd.uum.edu.my/8684/4/s900022_references.docx
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id	my-uum-etd.8684
record_format	uketd_dc
spelling	my-uum-etd.86842021-10-05T00:22:30Z Computational dynamic support model for social support assignments around stressed individuals among graduate students 2020 Al-Shorman, Roqia Rateb Ab Aziz, Azizi Ahmad, Rahayu Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts & Sciences QA75 Electronic computers. Computer science Configuring the best resources for optimal overall performance is one of the challenging topics in Computer Science domains. Within the domain of intelligent social support assignment applications to help individuals with stress, it requires important aspects of configuring a possible set of input and parameters to obtain optimal solutions from both computational support provider and recipient models. However, the existing configuration algorithms are often randomized and static. Thus, their results can vary significantly between multiple runs. In the context of social support perspectives, the assigned support may not sufficient or cause a burden to the providers. Hence, this study aims to develop the dynamic configuration algorithm to provide an optimal support assignment based on information generated from both social support recipient and provision computational models. The computational models that simulate support providers and recipients behaviours were developed to generate several simulated patterns. These models explain the dynamics of support seeking and provision behaviours and were evaluated using equilibria analysis and automatic logical verification approaches for 14 selected empirical cases. Later, the dynamic configuration algorithm was designed to utilize possible support assignments based on support provision requirements. The algorithm complexity analysis was used to measure the execution time in the worst case. Finally, a prototype was developed and validated with 30 graduate students. This study allows to explore computational analysis in explicit comprehension of how seeking and giving support process can be obtained at different case conditions. Also, the study explicitly shows the psychological stress of support recipient can be reduced after the dynamic configuration algorithm process assigned selected social support providers from social support network members. Furthermore, this study provides an alternative method for software engineers in intelligent stress management systems to integrate social support-based concepts as one of the mechanisms in addressing the support of an individual with cognitive related stress. 2020 Thesis https://etd.uum.edu.my/8684/ https://etd.uum.edu.my/8684/1/Deposit%20Permission_s900022.pdf text eng staffonly https://etd.uum.edu.my/8684/2/s900022_01.pdf text eng 2023-02-01 staffonly https://etd.uum.edu.my/8684/3/s900022_02.pdf text eng public https://etd.uum.edu.my/8684/4/s900022_references.docx text eng public other doctoral Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng eng eng
advisor	Ab Aziz, Azizi Ahmad, Rahayu
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Al-Shorman, Roqia Rateb Computational dynamic support model for social support assignments around stressed individuals among graduate students
description	Configuring the best resources for optimal overall performance is one of the challenging topics in Computer Science domains. Within the domain of intelligent social support assignment applications to help individuals with stress, it requires important aspects of configuring a possible set of input and parameters to obtain optimal solutions from both computational support provider and recipient models. However, the existing configuration algorithms are often randomized and static. Thus, their results can vary significantly between multiple runs. In the context of social support perspectives, the assigned support may not sufficient or cause a burden to the providers. Hence, this study aims to develop the dynamic configuration algorithm to provide an optimal support assignment based on information generated from both social support recipient and provision computational models. The computational models that simulate support providers and recipients behaviours were developed to generate several simulated patterns. These models explain the dynamics of support seeking and provision behaviours and were evaluated using equilibria analysis and automatic logical verification approaches for 14 selected empirical cases. Later, the dynamic configuration algorithm was designed to utilize possible support assignments based on support provision requirements. The algorithm complexity analysis was used to measure the execution time in the worst case. Finally, a prototype was developed and validated with 30 graduate students. This study allows to explore computational analysis in explicit comprehension of how seeking and giving support process can be obtained at different case conditions. Also, the study explicitly shows the psychological stress of support recipient can be reduced after the dynamic configuration algorithm process assigned selected social support providers from social support network members. Furthermore, this study provides an alternative method for software engineers in intelligent stress management systems to integrate social support-based concepts as one of the mechanisms in addressing the support of an individual with cognitive related stress.
format	Thesis
qualification_name	other
qualification_level	Doctorate
author	Al-Shorman, Roqia Rateb
author_facet	Al-Shorman, Roqia Rateb
author_sort	Al-Shorman, Roqia Rateb
title	Computational dynamic support model for social support assignments around stressed individuals among graduate students
title_short	Computational dynamic support model for social support assignments around stressed individuals among graduate students
title_full	Computational dynamic support model for social support assignments around stressed individuals among graduate students
title_fullStr	Computational dynamic support model for social support assignments around stressed individuals among graduate students
title_full_unstemmed	Computational dynamic support model for social support assignments around stressed individuals among graduate students
title_sort	computational dynamic support model for social support assignments around stressed individuals among graduate students
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2020
url	https://etd.uum.edu.my/8684/1/Deposit%20Permission_s900022.pdf https://etd.uum.edu.my/8684/2/s900022_01.pdf https://etd.uum.edu.my/8684/3/s900022_02.pdf https://etd.uum.edu.my/8684/4/s900022_references.docx
_version_	1747828439086268416

Computational dynamic support model for social support assignments around stressed individuals among graduate students

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