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Assessment of Display Attributes for Displaying Metainformation on Maps
Human Factors and Ergonomics Societies 50th Annual Conference (2006)
  • Ann M. Bisantz, SUNY University at Buffalo
  • Jonathan Pfautz, Charles River Analytics
  • Richard T. Stone, Ph.D., SUNY University at Buffalo
  • Emily M. Roth, Roth Cognitive Engineering
  • Gina Thomas-Meyers, United States Air Force Research Laboratory
  • Adam Fouse, Charles River Analytics
In many domains, operators need to understand and act on large volumes of information from a variety of sources. Operators are particularly challenged by the need to reason about the qualifiers of that information. These qualifiers, or “meta-information”, include characteristics such as the uncertainty associated with data, the age of the data, and the source of the data. Often, these critical data qualifiers are not presented, or are not incorporated into the primary information displays used by operators. In this research, we conducted a controlled experiment to investigate the utility of four common color display attributes (hue, saturation, brightness, and transparency) for displaying meta-information under different map background, task, and meta-information-type conditions. Results indicated that participants could rank and rate display elements which varied based on saturation, transparency and brightness similarly to expected ranks and ratings. Background effects were limited; but task type and framing effects indicated that the “natural” direction for ranking may be context-dependent.
Publication Date
October, 2006
San Francisco CA
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, Jonathan Pfautz, Richard T. Stone, Emily M. Roth, et al.. "Assessment of Display Attributes for Displaying Metainformation on Maps" Human Factors and Ergonomics Societies 50th Annual Conference (2006)
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