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Perception of meta-information representation: A psychophysical approach

  • Nicholas Fortenbery
  • , Michael P. Jenkins
  • , Ann M. Bisantz
  • , Jean François D'Arcy
  • , Michael Farry
  • , Allen Nagy
  • , Emilie Roth
  • , Jonathan Pfautz
  • , Gina Thomas
  • SUNY Buffalo
  • Charles River Analytics Inc.
  • Wright State University
  • Roth Cognitive Engineering
  • Air Force Research Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Previous research has identified many effective methods to visualize different types of meta-information, or information qualifiers; however, these methods are often incorporated without understanding how the graphical codes are perceived and how the encoded information is interpreted by display users. This results in display designers selecting graphical codes to represent meta-information without empirical evidence to determine the appropriateness of these selections. To help address this lack of guidance, this paper presents a systematic study of how people perceive two graphical codes (saturation and opacity) and relate those codes to different types of meta-information. Results were generated using psychophysical scaling methods, and provide visualization designers with a means to more appropriately design meta-information representations.

Original languageEnglish
Title of host publicationProceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012
Pages218-222
Number of pages5
DOIs
StatePublished - 2012
EventProceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012 - Boston, MA, United States
Duration: Oct 22 2012 → Oct 26 2012

Publication series

NameProceedings of the Human Factors and Ergonomics Society
ISSN (Print)1071-1813

Conference

ConferenceProceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012
Country/TerritoryUnited States
CityBoston, MA
Period10/22/12 → 10/26/12

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