

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.
Chair: Jonathan D. Pfautz, Charles River Analytics
Cochair: Emilie M. Roth, Roth Cognitive Engineering
Panelists: Ann M. Bisantz, U. at Buffalo-SUNY; Cullen
Jackson, Aptima, Inc.; Gina Thomas, U.S. Air Force
Research Lab; J. Gregory Trafton, U.S. Naval Research
Lab
Co-author: Randall Whitaker, Northrop Grumman
