Information Overload: The Effects of Large Amounts of Information

There is an immense amount of information available on the web. In no small part, this wealth of knowledge has challenged scientists continued to search for ways to make the information as easy as possible for end-users. Exploratory quest is transparent and has many characteristics that allow users...

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Main Authors: Mahdi M.N., Ahmad A.R., Ismail R., Subhi M.A., Abdulrazzaq M.M., Qassim Q.S.
Other Authors: 56727803900
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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author Mahdi M.N.
Ahmad A.R.
Ismail R.
Subhi M.A.
Abdulrazzaq M.M.
Qassim Q.S.
author2 56727803900
author_facet 56727803900
Mahdi M.N.
Ahmad A.R.
Ismail R.
Subhi M.A.
Abdulrazzaq M.M.
Qassim Q.S.
author_sort Mahdi M.N.
building UNITEN Library
collection Institutional Repository
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
continent Asia
country Malaysia
description There is an immense amount of information available on the web. In no small part, this wealth of knowledge has challenged scientists continued to search for ways to make the information as easy as possible for end-users. Exploratory quest is transparent and has many characteristics that allow users to find relevant information and to improve their comprehension of the task involved. A comprehensive study is performed on various findings focused on the solutions to the overload issue and has shown that the use of faceted filters minimizes the abundance of information. This paper also discusses information overload and exploratory testing features, such as facial scanning, which can mitigate the effect of clear marine filters. � 2020 IEEE.
format Conference Paper
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institution Universiti Tenaga Nasional
publishDate 2023
publisher Institute of Electrical and Electronics Engineers Inc.
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spelling my.uniten.dspace-253882023-05-29T16:08:50Z Information Overload: The Effects of Large Amounts of Information Mahdi M.N. Ahmad A.R. Ismail R. Subhi M.A. Abdulrazzaq M.M. Qassim Q.S. 56727803900 35589598800 15839357700 57205154762 57201680318 36613541700 There is an immense amount of information available on the web. In no small part, this wealth of knowledge has challenged scientists continued to search for ways to make the information as easy as possible for end-users. Exploratory quest is transparent and has many characteristics that allow users to find relevant information and to improve their comprehension of the task involved. A comprehensive study is performed on various findings focused on the solutions to the overload issue and has shown that the use of faceted filters minimizes the abundance of information. This paper also discusses information overload and exploratory testing features, such as facial scanning, which can mitigate the effect of clear marine filters. � 2020 IEEE. Final 2023-05-29T08:08:50Z 2023-05-29T08:08:50Z 2020 Conference Paper 10.1109/IT-ELA50150.2020.9253082 2-s2.0-85097735586 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097735586&doi=10.1109%2fIT-ELA50150.2020.9253082&partnerID=40&md5=4b17c337eb99502ee71236b75038c954 https://irepository.uniten.edu.my/handle/123456789/25388 9253082 154 159 Institute of Electrical and Electronics Engineers Inc. Scopus
spellingShingle Mahdi M.N.
Ahmad A.R.
Ismail R.
Subhi M.A.
Abdulrazzaq M.M.
Qassim Q.S.
Information Overload: The Effects of Large Amounts of Information
title Information Overload: The Effects of Large Amounts of Information
title_full Information Overload: The Effects of Large Amounts of Information
title_fullStr Information Overload: The Effects of Large Amounts of Information
title_full_unstemmed Information Overload: The Effects of Large Amounts of Information
title_short Information Overload: The Effects of Large Amounts of Information
title_sort information overload: the effects of large amounts of information
url_provider http://dspace.uniten.edu.my/