A characterization of the scientific data analysis process
VIS '92 Proceedings of the 3rd conference on Visualization '92
The challenge of information visualization evaluation
Proceedings of the working conference on Advanced visual interfaces
Low-Level Components of Analytic Activity in Information Visualization
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Graphical inference for infovis
IEEE Transactions on Visualization and Computer Graphics
An exploratory study of how abundant display space may support data analysis
Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design
Hi-index | 0.01 |
We present an analysis of two user strategies in interactive data analysis, based on an observational study of four researchers in the immunology domain. Screen captures, video records, interviews, and verbal protocols are used to analyze common procedures in this type of visual data analysis, as well as how these procedures differ among these users. Our findings present a case where skilled users can approach a similar problem with diverging analysis strategies. In the group we observed, strategies fell within two broad categories: within-graph analysis, in which a user generates a few graph layouts and interacts heavily within them, and between-graph analysis, in which a user generates a series of graphs and switches between them in sequence. Differences in strategies lead to distinct interaction patterns, and are likely to be best supported by different interface designs. We characterize these observed strategies and discuss their implications for scientific visualization design and evaluation.