Publication:
Information Overload: The Effects of Large Amounts of Information

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dc.citedby6
dc.contributor.authorMahdi M.N.en_US
dc.contributor.authorAhmad A.R.en_US
dc.contributor.authorIsmail R.en_US
dc.contributor.authorSubhi M.A.en_US
dc.contributor.authorAbdulrazzaq M.M.en_US
dc.contributor.authorQassim Q.S.en_US
dc.contributor.authorid56727803900en_US
dc.contributor.authorid35589598800en_US
dc.contributor.authorid15839357700en_US
dc.contributor.authorid57205154762en_US
dc.contributor.authorid57201680318en_US
dc.contributor.authorid36613541700en_US
dc.date.accessioned2023-05-29T08:08:50Z
dc.date.available2023-05-29T08:08:50Z
dc.date.issued2020
dc.description.abstractThere 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo9253082
dc.identifier.doi10.1109/IT-ELA50150.2020.9253082
dc.identifier.epage159
dc.identifier.scopus2-s2.0-85097735586
dc.identifier.spage154
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097735586&doi=10.1109%2fIT-ELA50150.2020.9253082&partnerID=40&md5=4b17c337eb99502ee71236b75038c954
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25388
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings of 2020 1st Information Technology to Enhance E-Learning and other Application Conference, IT-ELA 2020
dc.titleInformation Overload: The Effects of Large Amounts of Informationen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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