Patterns for visualization evaluation

  • Authors:
  • Niklas Elmqvist;Ji Soo Yi

  • Affiliations:
  • Purdue University, West Lafayette, IN;Purdue University, West Lafayette, IN

  • Venue:
  • Proceedings of the 2012 BELIV Workshop: Beyond Time and Errors - Novel Evaluation Methods for Visualization
  • Year:
  • 2012

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Abstract

We propose a patterns-based approach to evaluating data visualization: a set of general and reusable solutions to commonly occurring problems in evaluating tools, techniques, and systems for visual sensemaking. Patterns have had significant impact in a wide array of disciplines, particularly software engineering, and we believe that they provide a powerful lens for looking at visualization evaluation by offering practical, tried-and-tested tips and tricks that can be adopted immediately. The 12 patterns presented here have also been added to a freely editable Wiki repository. The motivation for creating this evaluation pattern language is to (a) disseminate hard-won experience on visualization evaluation to researchers and practitioners alike; to (b) provide a standardized vocabulary for designing visualization evaluation; and to (c) invite the community to add new evaluation patterns to a growing repository of patterns.