Visual decision-making: using treemaps for the analytic hierarchy process
CHI '95 Conference Companion on Human Factors in Computing Systems
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Getting access to what goes on in people's heads?: reflections on the think-aloud technique
Proceedings of the second Nordic conference on Human-computer interaction
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Informed spatial decisions through coordinated views
Information Visualization - Special issue on coordinated and multiple views in exploratory visualization
The challenge of information visualization evaluation
Proceedings of the working conference on Advanced visual interfaces
ValueCharts: analyzing linear models expressing preferences and evaluations
Proceedings of the working conference on Advanced visual interfaces
An Evaluation of Microarray Visualization Tools for Biological Insight
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
BEST PAPER: A Knowledge Task-Based Framework for Design and Evaluation of Information Visualizations
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Proceedings of the working conference on Advanced visual interfaces
Usability comparison of mouse-based interaction techniques for predictable 3d rotation
SG'05 Proceedings of the 5th international conference on Smart Graphics
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Many critical decisions for individuals and organizations are often framed as preferential choices: the process of selecting the best option out of a set of alternatives. This paper presents a task-based empirical evaluation of ValueCharts, a set of interactive visualization techniques to support preferential choice. The design of our study is grounded in a comprehensive task model and we measure both task performance and insights. In the experiment, we not only tested the overall usefulness and effectiveness of ValueCharts, but we also assessed the differences between two versions of ValueCharts, a horizontal and a vertical one. The outcome of our study is that ValueCharts seem very effective in supporting preferential choice and the vertical version appears to be more effective than the horizontal one.