A pattern to predict the occurrence of moment of information overload during online information searching / Nur Amirah Mustapar

Scholars have identified that individuals are confronted with information overload during searching for the information in the virtual library. They sometimes do not realize they are overloaded until the symptoms appear and this will lead to many bad effects such as stress and decreased efficiency i...

Full description

Saved in:

Bibliographic Details
Main Author:	Mustapar, Nur Amirah
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Electronic information resource searching
Online Access:	https://ir.uitm.edu.my/id/eprint/89130/1/89130.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.89130
record_format	uketd_dc
spelling	my-uitm-ir.891302024-08-15T03:06:24Z A pattern to predict the occurrence of moment of information overload during online information searching / Nur Amirah Mustapar 2017 Mustapar, Nur Amirah Electronic information resource searching Scholars have identified that individuals are confronted with information overload during searching for the information in the virtual library. They sometimes do not realize they are overloaded until the symptoms appear and this will lead to many bad effects such as stress and decreased efficiency in decision making. Moreover, previous literature claims that information overload also will lead to the changes in physiological signal of an individual which later result in decreased efficiency of information processing. Several scholars have analysed this phenomenon and investigated its causes, symptoms, effects and countermeasures of information overload but there are lacking empirical data to detect moment of information overload as moment can be represented as a point along the chronological continuum at which occur a certain effects. The purpose of having those empirical data is that it can eliminate the bad effects of information overload. Therefore, the primary purpose of this research is to detect the existence and the occurrence of moment of information overload among individuals during searching in virtual library, which focusing on the pattern reflected in the physiological data that can potentially be used as indicator of moment of information overload. In order to detect the pattern of moment of information overload, this study adopted user testing methods and adopted methods from psychophysiology for elucidating relations between the mind and the body. Collected empirical data were analysed using quantitative analysis and were presented using graphs and tables. Moment is detected as changes of reading of indicator. Study findings revealed that heart rate measurement is the best measure compared to other physiological measurement and the underlying pattern of moment of information overload is presented in a form of matrix. From the study findings, the recommendation of the future work was made which is the detected pattern can be used to design an application which monitor the information load among the individuals. 2017 Thesis https://ir.uitm.edu.my/id/eprint/89130/ https://ir.uitm.edu.my/id/eprint/89130/1/89130.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Abdullah @ Dolah, Natrah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abdullah @ Dolah, Natrah
topic	Electronic information resource searching
spellingShingle	Electronic information resource searching Mustapar, Nur Amirah A pattern to predict the occurrence of moment of information overload during online information searching / Nur Amirah Mustapar
description	Scholars have identified that individuals are confronted with information overload during searching for the information in the virtual library. They sometimes do not realize they are overloaded until the symptoms appear and this will lead to many bad effects such as stress and decreased efficiency in decision making. Moreover, previous literature claims that information overload also will lead to the changes in physiological signal of an individual which later result in decreased efficiency of information processing. Several scholars have analysed this phenomenon and investigated its causes, symptoms, effects and countermeasures of information overload but there are lacking empirical data to detect moment of information overload as moment can be represented as a point along the chronological continuum at which occur a certain effects. The purpose of having those empirical data is that it can eliminate the bad effects of information overload. Therefore, the primary purpose of this research is to detect the existence and the occurrence of moment of information overload among individuals during searching in virtual library, which focusing on the pattern reflected in the physiological data that can potentially be used as indicator of moment of information overload. In order to detect the pattern of moment of information overload, this study adopted user testing methods and adopted methods from psychophysiology for elucidating relations between the mind and the body. Collected empirical data were analysed using quantitative analysis and were presented using graphs and tables. Moment is detected as changes of reading of indicator. Study findings revealed that heart rate measurement is the best measure compared to other physiological measurement and the underlying pattern of moment of information overload is presented in a form of matrix. From the study findings, the recommendation of the future work was made which is the detected pattern can be used to design an application which monitor the information load among the individuals.
format	Thesis
qualification_level	Master's degree
author	Mustapar, Nur Amirah
author_facet	Mustapar, Nur Amirah
author_sort	Mustapar, Nur Amirah
title	A pattern to predict the occurrence of moment of information overload during online information searching / Nur Amirah Mustapar
title_short	A pattern to predict the occurrence of moment of information overload during online information searching / Nur Amirah Mustapar
title_full	A pattern to predict the occurrence of moment of information overload during online information searching / Nur Amirah Mustapar
title_fullStr	A pattern to predict the occurrence of moment of information overload during online information searching / Nur Amirah Mustapar
title_full_unstemmed	A pattern to predict the occurrence of moment of information overload during online information searching / Nur Amirah Mustapar
title_sort	pattern to predict the occurrence of moment of information overload during online information searching / nur amirah mustapar
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/89130/1/89130.pdf
_version_	1811768737256177664

A pattern to predict the occurrence of moment of information overload during online information searching / Nur Amirah Mustapar

Similar Items