A systematic review of shared visualisation to achieve common ground

This paper reports a systematic review of shared visualisation based on fifteen papers from 2000 to 2013. The findings identified five shared visualisation strategies that represent the ways implemented to process data sharing and knowledge to arrive at the desired level of understanding. Four visua...

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Main Authors: Yusoff, N.M., Salim, S.S.
Format: Article
Published: Elsevier 2015
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Online Access:http://eprints.um.edu.my/19321/
http://dx.doi.org/10.1016/j.jvlc.2014.12.003
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author Yusoff, N.M.
Salim, S.S.
author_facet Yusoff, N.M.
Salim, S.S.
author_sort Yusoff, N.M.
building UM Library
collection Institutional Repository
content_provider Universiti Malaya
content_source UM Research Repository
continent Asia
country Malaysia
description This paper reports a systematic review of shared visualisation based on fifteen papers from 2000 to 2013. The findings identified five shared visualisation strategies that represent the ways implemented to process data sharing and knowledge to arrive at the desired level of understanding. Four visualisation techniques were also identified to show how shared cognition is made possible in designing tools for mediating data or knowledge among the users involved. These findings provide research opportunities in integrating rich interactive data visualisation for mobile-based technologies as an effective mean in supporting collaborative work. Finally, social, task and cognitive elements which can be significantly supported by shared visualisation and a guideline for future researchers seeking to design shared visualisation-based systems are presented.
format Article
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institution Universiti Malaya
publishDate 2015
publisher Elsevier
record_format eprints
spelling my.um.eprints-193212018-09-20T04:51:08Z http://eprints.um.edu.my/19321/ A systematic review of shared visualisation to achieve common ground Yusoff, N.M. Salim, S.S. QA75 Electronic computers. Computer science This paper reports a systematic review of shared visualisation based on fifteen papers from 2000 to 2013. The findings identified five shared visualisation strategies that represent the ways implemented to process data sharing and knowledge to arrive at the desired level of understanding. Four visualisation techniques were also identified to show how shared cognition is made possible in designing tools for mediating data or knowledge among the users involved. These findings provide research opportunities in integrating rich interactive data visualisation for mobile-based technologies as an effective mean in supporting collaborative work. Finally, social, task and cognitive elements which can be significantly supported by shared visualisation and a guideline for future researchers seeking to design shared visualisation-based systems are presented. Elsevier 2015 Article PeerReviewed Yusoff, N.M. and Salim, S.S. (2015) A systematic review of shared visualisation to achieve common ground. Journal of Visual Languages and Computing, 28. pp. 83-99. ISSN 1045-926X, DOI https://doi.org/10.1016/j.jvlc.2014.12.003 <https://doi.org/10.1016/j.jvlc.2014.12.003>. http://dx.doi.org/10.1016/j.jvlc.2014.12.003 doi:10.1016/j.jvlc.2014.12.003
spellingShingle QA75 Electronic computers. Computer science
Yusoff, N.M.
Salim, S.S.
A systematic review of shared visualisation to achieve common ground
title A systematic review of shared visualisation to achieve common ground
title_full A systematic review of shared visualisation to achieve common ground
title_fullStr A systematic review of shared visualisation to achieve common ground
title_full_unstemmed A systematic review of shared visualisation to achieve common ground
title_short A systematic review of shared visualisation to achieve common ground
title_sort systematic review of shared visualisation to achieve common ground
topic QA75 Electronic computers. Computer science
url http://eprints.um.edu.my/19321/
http://dx.doi.org/10.1016/j.jvlc.2014.12.003
url_provider http://eprints.um.edu.my/