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Process and Pitfalls in Writing Information Visualization Research Papers

  • Tamara Munzner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4950)

Abstract

The goal of this chapter is to help authors recognize and avoid a set of pitfalls that recur in many rejected information visualization papers, using a chronological model of the research process. Selecting a target paper type in the initial stage can avert an inappropriate choice of validation methods. Pitfalls involving the design of a visual encoding may occur during the middle stages of a project. In a later stage when the bulk of the research is finished and the paper writeup begins, the possible pitfalls are strategic choices for the content and structure of the paper as a whole, tactical problems localized to specific sections, and unconvincing ways to present the results. Final-stage pitfalls of writing style can be checked after a full paper draft exists, and the last set of problems pertain to submission.

Keywords

IEEE Symposium Target User Paper Type Information Visualization Research Contribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Tamara Munzner
    • 1
  1. 1.Department of Computer ScienceUniversity of British ColumbiaVancouverCanada

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