By Topic

Directions for Methodological Research in Information Visualization

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Craft, B. ; London Knowledge Lab., York Univ., York ; Cairns, P.

People within and outside the information visualization community are motivated to create new tools to address their own unique problems of understanding data. However, the techniques which visualizations use to enhance cognition of data are not widely known outside the field. Also, there are currently few resources which comprehensively describe methods for designing novel visualizations. Consequently, people who seek to build new information visualization tools are left to consult design examples, guidelines, and reference models, which do not adequately describe the visualization design process or suggest ways to undertake the process. We identify some of these shortcomings, provide an overview of methodological knowledge in information visualization design to date, and suggest that methods from other design-oriented disciplines can bridge these shortcomings.

Published in:

Information Visualisation, 2008. IV '08. 12th International Conference

Date of Conference:

9-11 July 2008