Abstract
Increasingly, the study of cognition and action in complex sociotechnical systems has revealed that humans reason about both information and the qualifications of that information. These qualifications, or meta-information (e.g., pedigree, recency, uncertainty), play a role in human performance across work domains (Pfautz et al., 2006). Meta-information contextualizes information, and therefore can critically influence how a human will process, understand, and act on that information. This panel will discuss the role of meta-information in the design and evaluation of visualization and decision-support systems.
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