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Task-Based Evaluation of Multi-Relational 3D and Standard 2D Parallel Coordinates
Department of Information Science, Uppsala University, Uppsala, Sweden.
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology. (Norrköping Visualization and Interaction Studio)
2007 (English)In: Visualization and Data Analysis 2007 / [ed] Robert F. Erbacher, Jonathan C. Roberts, Matti T. Gröhn, Katy Börner, Bellingham, WA / Springfield, Virginia, USA: SPIE—The International Society for Optical Engineering & IS&T—The Society for Imaging Science and Technology , 2007, Vol. 6495, 64950C-1-64950C-12 p.Conference paper (Refereed)
Abstract [en]

Multivariatedata sets exist in a wide variety of fields andparallel coordinates visualizations are commonly used for analysing such data.This paper presents a usability evaluation where we compare threetypes of parallel coordinates visualization for exploratory analysis of multivariatedata. We use a standard parallel coordinates display with manualpermutation of axes, a standard parallel coordinates display with automaticpermutation of axes, and a multi-relational 3D parallel coordinates displaywith manual permutation of axes. We investigate whether a 3Dlayout showing more relations simultaneously, but distorted by perspective effects,is advantageous when compared with a standard 2D layout. Theevaluation is accomplished by means of an experiment comparing performancedifferences for a class of task known to be well-supportedby parallel coordinates. Two levels of difficulty of the taskare used and both require the user to find relationshipsbetween variables in a multivariate data set. Our results showthat for the manual exploration of a complex interrelated multivariatedata set, the user performance with multi-relational 3D parallel coordinatesis significantly faster. In simpler tasks, however, the difference isnegligible. The study adds to the body of work examiningthe utility of 3D representations and what properties of structurein 3D space can be successfully used in 3D representationsof multivariate data.

Place, publisher, year, edition, pages
Bellingham, WA / Springfield, Virginia, USA: SPIE—The International Society for Optical Engineering & IS&T—The Society for Imaging Science and Technology , 2007. Vol. 6495, 64950C-1-64950C-12 p.
, Proceedings of SPIE - International Society for Optical Engineering, ISSN 0277-786X ; Vol. 6495
Keyword [en]
Evaluation, parallel coordinates, multi-relational 3D parallel coordinates, multivariate data
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-13211DOI: 10.1117/12.697548ISI: 000245866700010ISBN: 9780819466082OAI: diva2:18053
Visualization and Data Analysis, San Jose, California, USA, 29–30 January 2007
Available from: 2008-05-07 Created: 2008-05-07 Last updated: 2014-04-23Bibliographically approved
In thesis
1. Efficient Information Visualization of Multivariate and Time-Varying Data
Open this publication in new window or tab >>Efficient Information Visualization of Multivariate and Time-Varying Data
2008 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Data can be found everywhere, for example in the form of price, size, weight and colour of all products sold by a company, or as time series of daily observations of temperature, precipitation, wind and visibility from thousands of stations. Due to their size and complexity it is intrinsically hard to form a global overview and understanding of them. Information visualization aims at overcoming these difficulties by transforming data into representations that can be more easily interpreted.

This thesis presents work on the development of methods to enable efficient information visualization of multivariate and time-varying data sets by conveying information in a clear and interpretable way, and in a reasonable time. The work presented is primarily based on a popular multivariate visualization technique called parallel coordinates but many of the methods can be generalized to apply to other information visualization techniques.

A three-dimensional, multi-relational version of parallel coordinates is presented that enables a simultaneous analysis of all pairwise relationships between a single focus variable and all other variables included in the display. This approach permits a more rapid analysis of highly multivariate data sets. Through a number of user studies the multi-relational parallel coordinates technique has been evaluated against standard, two-dimensional parallel coordinates and been found to better support a number of different types of task.

High precision density maps and transfer functions are presented as a means to reveal structure in large data displayed in parallel coordinates. These two approaches make it possible to interactively analyse arbitrary regions in a parallel coordinates display without risking the loss of significant structure.

Another focus of this thesis relates to the visualization of time-varying, multivariate data. This has been studied both in the specific application area of system identification using volumetric representations, as well as in the general case by the introduction of temporal parallel coordinates.

The methods described in this thesis have all been implemented using modern computer graphics hardware which enables the display and manipulation of very large data sets in real time. A wide range of data sets, both synthetically generated and taken from real applications, have been used to test these methods. It is expected that, as long as the data have multivariate properties, they could be employed efficiently.

Place, publisher, year, edition, pages
Institutionen för teknik och naturvetenskap, 2008
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1191
Information visualization, parallel coordinates, interactive analysis, multivariate data, time-varying data, GPU, hardware graphics
National Category
Computer Science
urn:nbn:se:liu:diva-11643 (URN)978-91-7393-878-5 (ISBN)
Public defence
2008-05-30, K3, Kåkenhus, Campus Norrköping, Linköpings universitet, Norrköping, 09:15 (English)
Available from: 2008-05-07 Created: 2008-05-07 Last updated: 2010-12-06

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