Heart rate reading patterns at moment of information overload during online information searching

Users are confronted with information overload when searching for information in virtual libraries. Studies claim that information overload leads to changes in the physiological signals of an individual which later results in decreased efficiency in information processing. There is a strong percepti...

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Bibliographic Details
Published in:Journal of Information and Communication Technology
Main Author: Abdullah N.; Mustapar N.A.
Format: Article
Language:English
Published: Universiti Utara Malaysia Press 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068403542&doi=10.32890%2fjict2019.18.3.1&partnerID=40&md5=e1ef0d79669764e89ed70793f8862167
id 2-s2.0-85068403542
spelling 2-s2.0-85068403542
Abdullah N.; Mustapar N.A.
Heart rate reading patterns at moment of information overload during online information searching
2019
Journal of Information and Communication Technology
18
3
10.32890/jict2019.18.3.1
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068403542&doi=10.32890%2fjict2019.18.3.1&partnerID=40&md5=e1ef0d79669764e89ed70793f8862167
Users are confronted with information overload when searching for information in virtual libraries. Studies claim that information overload leads to changes in the physiological signals of an individual which later results in decreased efficiency in information processing. There is a strong perception that when something changes, there is a moment in which the change occurs. The primary purpose of this research is to detect an indication at the moment of change occurring when searching in virtual libraries by focusing on the pattern reflected in physiological data that can potentially be used as a signal to convey information overload. This study adopted user test methods and methods from psychophysiology. The results from quantitative analysis were presented through graphs and tables. The results indicated that heart rate measurement was the best measure compared to other physiological measurements and the underlying pattern signalling information overload was presented in the form of a matrix. Recommendations for future work include using the pattern to design an application to monitor information load in individuals. © 2010, Universiti Utara Malaysia Press.
Universiti Utara Malaysia Press
1675414X
English
Article

author Abdullah N.; Mustapar N.A.
spellingShingle Abdullah N.; Mustapar N.A.
Heart rate reading patterns at moment of information overload during online information searching
author_facet Abdullah N.; Mustapar N.A.
author_sort Abdullah N.; Mustapar N.A.
title Heart rate reading patterns at moment of information overload during online information searching
title_short Heart rate reading patterns at moment of information overload during online information searching
title_full Heart rate reading patterns at moment of information overload during online information searching
title_fullStr Heart rate reading patterns at moment of information overload during online information searching
title_full_unstemmed Heart rate reading patterns at moment of information overload during online information searching
title_sort Heart rate reading patterns at moment of information overload during online information searching
publishDate 2019
container_title Journal of Information and Communication Technology
container_volume 18
container_issue 3
doi_str_mv 10.32890/jict2019.18.3.1
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068403542&doi=10.32890%2fjict2019.18.3.1&partnerID=40&md5=e1ef0d79669764e89ed70793f8862167
description Users are confronted with information overload when searching for information in virtual libraries. Studies claim that information overload leads to changes in the physiological signals of an individual which later results in decreased efficiency in information processing. There is a strong perception that when something changes, there is a moment in which the change occurs. The primary purpose of this research is to detect an indication at the moment of change occurring when searching in virtual libraries by focusing on the pattern reflected in physiological data that can potentially be used as a signal to convey information overload. This study adopted user test methods and methods from psychophysiology. The results from quantitative analysis were presented through graphs and tables. The results indicated that heart rate measurement was the best measure compared to other physiological measurements and the underlying pattern signalling information overload was presented in the form of a matrix. Recommendations for future work include using the pattern to design an application to monitor information load in individuals. © 2010, Universiti Utara Malaysia Press.
publisher Universiti Utara Malaysia Press
issn 1675414X
language English
format Article
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