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Visual Representations of Meta-Information

  • Ann M. Bisantz
  • , Richard T. Stone
  • , Jonathan Pfautz
  • , Adam Fouse
  • , Michael Farry
  • , Emilie Roth
  • , Allen L. Nagy
  • , Gina Thomas
  • SUNY Buffalo
  • Cambridge Univers
  • Roth Cognitive Engineering
  • Wright State University
  • Air Force Research Laboratory

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)67-91
Number of pages25
JournalJournal of Cognitive Engineering and Decision Making
Volume3
Issue number1
DOIs
StatePublished - 2009

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