Paper
16 January 2006 A visualization framework for design and evaluation
Benjamin J. Blundell, Gary Ng, Steve Pettifer
Author Affiliations +
Proceedings Volume 6060, Visualization and Data Analysis 2006; 606008 (2006) https://doi.org/10.1117/12.647441
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
The creation of compelling visualisation paradigms is a craft often dominated by intuition and issues of aesthetics, with relatively few models to support good design. The majority of problem cases are approached by simply applying a previously evaluated visualisation technique. A large body of work exists covering the individual aspects of visualisation design such as the human cognition aspects visualisation methods for specific problem areas, psychology studies and so forth, yet most frameworks regarding visualisation are applied after-the-fact as an evaluation measure. We present an extensible framework for visualisation aimed at structuring the design process, increasing decision traceability and delineating the notions of function, aesthetics and usability. The framework can be used to derive a set of requirements for good visualisation design and evaluating existing visualisations, presenting possible improvements. Our framework achieves this by being both broad and general, built on top of existing works, with hooks for extensions and customizations. This paper shows how existing theories of information visualisation fit into the scheme, presents our experience in the application of this framework on several designs, and offers our evaluation of the framework and the designs studied.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Benjamin J. Blundell, Gary Ng, and Steve Pettifer "A visualization framework for design and evaluation", Proc. SPIE 6060, Visualization and Data Analysis 2006, 606008 (16 January 2006); https://doi.org/10.1117/12.647441
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KEYWORDS
Visualization

Visual analytics

Control systems

Psychology

Cognition

Cognitive modeling

Human-computer interaction

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