Using multi-dimensional in-depth long-term case studies for information visualization evaluation

  • Authors:
  • Eliane R. A. Valiati;Carla M. D. S. Freitas;Marcelo S. Pimenta

  • Affiliations:
  • Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil;Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil;Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil

  • Venue:
  • Proceedings of the 2008 Workshop on BEyond time and errors: novel evaLuation methods for Information Visualization
  • Year:
  • 2008

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Abstract

Information visualization is meant to support the analysis and comprehension of (often large) datasets through techniques intended to show/enhance features, patterns, clusters and trends, not always visible even when using a graphical representation. During the development of information visualization techniques the designer has to take into account the users' tasks to choose the graphical metaphor as well as the interactive methods to be provided. Testing and evaluating the usability of information visualization techniques are still a research question, and methodologies based on real or experimental users often yield significant results. To be comprehensive, however, experiments with users must rely on a set of tasks that covers the situations a real user will face when using the visualization tool. The present work reports and discusses the results of three case studies conducted as Multi-dimensional In-depth Long-term Case studies. The case studies were carried out to investigate MILCs-based usability evaluation methods for visualization tools.