Heuristics for information visualization evaluation

  • Authors:

  • Torre Zuk;Lothar Schlesier;Petra Neumann;Mark S. Hancock;Sheelagh Carpendale

  • Affiliations:

  • University of Calgary, Calgary, Canada;University of Calgary, Calgary, Canada;University of Calgary, Calgary, Canada;University of Calgary, Calgary, Canada;University of Calgary, Calgary, Canada

  • Venue:
  • Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization
  • Year:
  • 2006

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Abstract

Heuristic evaluation is a well known discount evaluation technique in human-computer interaction (HCI) but has not been utilized in information visualization (InfoVis) to the same extent. While several sets of heuristics have been used or proposed for InfoVis, it is not yet known what kind of heuristics are useful for finding general InfoVis problems. We performed a meta-analysis with the goal of exploring the issues of heuristic evaluation for InfoVis. This meta-analysis concentrates on issues pertaining to the selection and organization of heuristics, and the process itself. For this purpose, we used three sets of previously published heuristics to assess a visual decision support system that is used to examine simulation data. The meta-analysis shows that the evaluation process and results have a high dependency on the heuristics and the types of evaluators chosen. We describe issues related to interpretation, redundancy, and conflict in heuristics. We also provide a discussion of generalizability and categorization of these heuristics.