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Visual Representations of Meta-Information
Journal of Cognitive Engineering and Decision Making (2009)
  • Ann M. Bisantz, SUNY University at Buffalo
  • Richard T. Stone, Ph.D., SUNY University at Buffalo
  • Jonathan Pfautz, Charles River Analytics
  • Adam Fouse, Charles River Analytics
  • Michael Farry, Charles River Analytics
  • Emily Roth, Roth Cognitive Engineering
  • Allen L. Nagy, Wright State University
  • Gina Thomas, United States Air Force Research Laboratory
We conducted two studies that investigated display characteristics related to color (hue, saturation, brightness, and transparency) and contrast with a background for displaying information qualifiers (termed meta-information) such as uncertainty, age, and source quality. Level of detail (or granularity) of the meta-information and task demands were also manipulated. Participants were asked to rank and rate colored regions overlaid on different map backgrounds based on the level of meta-information the regions displayed. Results from Study 1 indicated that participants could appropriately rank and rate levels of meta-information across saturation, brightness, and transparency conditions, and results from Study 1 and Study 2 showed that the natural direction of ordering is complex and dependent on the relevance of different information to the task and the contrast of the overlay region with the background.
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Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.
Citation Information
Ann M. Bisantz, Richard T. Stone, Jonathan Pfautz, Adam Fouse, et al.. "Visual Representations of Meta-Information" Journal of Cognitive Engineering and Decision Making Vol. 3 Iss. 1 (2009) p. 67 - 91
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