Reflecting on the Design Criteria for Explanatory Visualizations

The visualization field has developed a good set of design criteria, metrics, and methods to assess visualization techniques and systems. These are all focused on analytical and exploratory uses, however. A large class of visualizations are created to present and communicate data and issues, however, and are seen by millions of people. We do not currently have a good grasp of what criteria should be used to systematically design and compare them, and how to do that. The aim of this paper is to raise the issue, describe different uses of visualizations, and propose criteria that should be considered while designing and critiquing them.

  • Robert Kosara, Aritra Dasgupta, and Enrico Bertini, Reflecting on the Design Criteria for Explanatory Visualizations, Workshop on Creation, Curation, Critique and Conditioning of Principles and Guidelines in Visualization (C4PGV), 2016. Abstract BibTeX PDF

    The visualization field has developed a good set of design criteria, metrics, and methods to assess visualization techniques and systems. These are all focused on analytical and exploratory uses, however. A large class of visualizations are created to present and communicate data and issues, however, and are seen by millions of people. We do not currently have a good grasp of what criteria should be used to systematically design and compare them, and how to do that. The aim of this paper is to raise the issue, describe different uses of visualizations, and propose criteria that should be considered while designing and critiquing them.

    @inproceedings {Kosara:C4PGV:2016,
    	key: {Kosara:C4PGV:2016},
    	title: {Reflecting on the Design Criteria for Explanatory Visualizations},
    	author: {Robert Kosara and Aritra Dasgupta and Enrico Bertini},
    	venue: {Workshop on Creation, Curation, Critique and Conditioning of Principles and Guidelines in Visualization (C4PGV)},
    	abstract: {The visualization field has developed a good set of design criteria, metrics, and methods to assess visualization techniques and systems. These are all focused on analytical and exploratory uses, however. A large class of visualizations are created to present and communicate data and issues, however, and are seen by millions of people. We do not currently have a good grasp of what criteria should be used to systematically design and compare them, and how to do that. The aim of this paper is to raise the issue, describe different uses of visualizations, and propose criteria that should be considered while designing and critiquing them.},
    	year: {2016},
    }