The Human Brain and Information Science: Lessons from Popular Neuroscience

Insights from the recent wealth of popular books on neuroscience are offered to suggest a strengthening of theory in information science. Information theory has traditionally neglected the human dimension in favour of 'scientific' theory often derived from the Shannon-Weaver model. Neurosc...

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Main Author: Paul Sturges
Format: Article
Language:English
Published: Research Institute for Knowledge Content Development & Technology 2013-06-01
Series:International Journal of Knowledge Content Development and Technology
Subjects:
Online Access:http://ijkcdt.net/xml/00652/00652.pdf
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spelling doaj-dfe8fe9f151a49268601f4ad89d780e62020-11-24T23:46:39ZengResearch Institute for Knowledge Content Development & TechnologyInternational Journal of Knowledge Content Development and Technology2234-00682287-187X2013-06-01311929http://dx.doi.org/10.5865/IJKCT.2013.3.1.019The Human Brain and Information Science: Lessons from Popular NeurosciencePaul Sturges0Loughborough UniversityInsights from the recent wealth of popular books on neuroscience are offered to suggest a strengthening of theory in information science. Information theory has traditionally neglected the human dimension in favour of 'scientific' theory often derived from the Shannon-Weaver model. Neuroscientists argue in excitingly fresh ways from the evidence of case studies, non-intrusive experimentation and the measurements that can be obtained from technologies that include electroencephalography, positron emission tomography (PET), functional magnetic resonance imaging (fMRI), and magnetoencephalography (MEG). The way in which the findings of neuroscience intersect with ideas such as those of Kahneman on fast and slow thinking and Csikszentmihalyi on flow, is tentatively explored as lines of connection with information science. It is argued that the beginnings of a theoretical underpinning for current web-based information searching in relation to established information retrieval methods can be drawn from this.http://ijkcdt.net/xml/00652/00652.pdfInformation ScienceHuman brainInformation searchingBrain-Centerd approachesNeuroscience-Related approaches
collection DOAJ
language English
format Article
sources DOAJ
author Paul Sturges
spellingShingle Paul Sturges
The Human Brain and Information Science: Lessons from Popular Neuroscience
International Journal of Knowledge Content Development and Technology
Information Science
Human brain
Information searching
Brain-Centerd approaches
Neuroscience-Related approaches
author_facet Paul Sturges
author_sort Paul Sturges
title The Human Brain and Information Science: Lessons from Popular Neuroscience
title_short The Human Brain and Information Science: Lessons from Popular Neuroscience
title_full The Human Brain and Information Science: Lessons from Popular Neuroscience
title_fullStr The Human Brain and Information Science: Lessons from Popular Neuroscience
title_full_unstemmed The Human Brain and Information Science: Lessons from Popular Neuroscience
title_sort human brain and information science: lessons from popular neuroscience
publisher Research Institute for Knowledge Content Development & Technology
series International Journal of Knowledge Content Development and Technology
issn 2234-0068
2287-187X
publishDate 2013-06-01
description Insights from the recent wealth of popular books on neuroscience are offered to suggest a strengthening of theory in information science. Information theory has traditionally neglected the human dimension in favour of 'scientific' theory often derived from the Shannon-Weaver model. Neuroscientists argue in excitingly fresh ways from the evidence of case studies, non-intrusive experimentation and the measurements that can be obtained from technologies that include electroencephalography, positron emission tomography (PET), functional magnetic resonance imaging (fMRI), and magnetoencephalography (MEG). The way in which the findings of neuroscience intersect with ideas such as those of Kahneman on fast and slow thinking and Csikszentmihalyi on flow, is tentatively explored as lines of connection with information science. It is argued that the beginnings of a theoretical underpinning for current web-based information searching in relation to established information retrieval methods can be drawn from this.
topic Information Science
Human brain
Information searching
Brain-Centerd approaches
Neuroscience-Related approaches
url http://ijkcdt.net/xml/00652/00652.pdf
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