A usability study on the use of multi-context visualization

Huang, ML; Liang, J; Nguyen, QV

A usability study on the use of multi-context visualization

Huang, ML

Liang, J

Nguyen, QV

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Publication Type:: Conference Proceeding
Citation:: Proceedings - Computer Graphics, Imaging and Visualisation, Modern Techniques and Applications, CGIV, 2008, pp. 311 - 315
Issue Date:: 2008-11-10

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Field	Value	Language
dc.contributor.author	Huang, ML https://orcid.org/0000-0002-6896-6480	en_US
dc.contributor.author	Liang, J https://orcid.org/0000-0001-7179-5208	en_US
dc.contributor.author	Nguyen, QV https://orcid.org/0000-0002-0815-6224	en_US
dc.date.issued	2008-11-10	en_US
dc.identifier.citation	Proceedings - Computer Graphics, Imaging and Visualisation, Modern Techniques and Applications, CGIV, 2008, pp. 311 - 315	en_US
dc.identifier.isbn	0769533590	en_US
dc.identifier.isbn	9780769533599	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10921
dc.description.abstract	Graph visualization has been widely used in real-world applications, as it provides better presentation of overall data structure. However, there are navigation problems existing in deep and large relational datasets. To address these challenges, a new technique called multi-context visualization, which provides users with rich contextual information, has been proposed as the solution to the navigation in large scale datasets. This paper evaluates the multi-context visualization by conducting an experiment-based user study. To answer whether the more contextual information positively assist in making more accurate and easier decisions, it aims to evaluate the effectiveness and efficiency of the multi-context visualization, by measuring the user performance. Specifically, this usability test was designed to test if the use of multiple context views can improve navigation problems for deep and large relational data sets. © 2008 IEEE.	en_US
dc.relation.ispartof	Proceedings - Computer Graphics, Imaging and Visualisation, Modern Techniques and Applications, CGIV	en_US
dc.relation.isbasedon	10.1109/CGIV.2008.33	en_US
dc.title	A usability study on the use of multi-context visualization	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Penang, Malaysia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

Graph visualization has been widely used in real-world applications, as it provides better presentation of overall data structure. However, there are navigation problems existing in deep and large relational datasets. To address these challenges, a new technique called multi-context visualization, which provides users with rich contextual information, has been proposed as the solution to the navigation in large scale datasets. This paper evaluates the multi-context visualization by conducting an experiment-based user study. To answer whether the more contextual information positively assist in making more accurate and easier decisions, it aims to evaluate the effectiveness and efficiency of the multi-context visualization, by measuring the user performance. Specifically, this usability test was designed to test if the use of multiple context views can improve navigation problems for deep and large relational data sets. © 2008 IEEE.

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