Abstract | ||
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The Reorderable Matrix is a simple visualization method for quantitative tabular data. The paper examines how first-time users interact with the Reorderable Matrix and how well they perform a simple task of finding correlating attributes. Visualizing a set of data is a common task in various activities such as decision making or opinion forming. Typical situations are a person making business related decisions, a doctor examining test results of a patient or an engineer making choices between different constructs. All these situations involve examining complex data interactions in a limited time. In this experiment the participants were interacting with the Reorderable Matrix for the first time and tried to find correlating attributes from an unfamiliar set of data |
Year | DOI | Venue |
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1999 | 10.1109/IV.1999.781570 | IV |
Keywords | Field | DocType |
information visualization technology,reorderable matrix,correlating attributes,quantitative tabular data,human factors,user interfaces,decision making,test results,business related decisions,visual intelligence,decision-making capability,unfamiliar data set,innovative company,first-time users,data visualisation,user interaction,visual intelligence application,opinion forming,data visualization,complex data interactions,interactive systems,visualization method,graphics,complex data,computer science,reactive power,lenses,ink,testing,information processing | Data visualization,Matrix (mathematics),Visualization,Computer science,Complex data type,Human–computer interaction,User interface | Conference |
ISSN | ISBN | Citations |
1093-9547 | 0-7695-0210-5 | 21 |
PageRank | References | Authors |
3.01 | 2 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Siirtola, H. | 1 | 21 | 3.01 |