Quantitative assessment of cognitive interpretability of visualization

A. A. Zakharova, E. V. Vekhter, A. V. Shklyar, A. V. Krysko, O. A. Saltykova

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


The article shows results of the research of cognitive interpretability of visualization and approaches to obtaining empirical estimates of the practical effectiveness of visualization tools. Estimated results are used in the development of technology of cognitive interpretation of heterogeneous data and necessary means of visual analytics.

Original languageEnglish
Pages (from-to)145-153
Number of pages9
JournalScientific Visualization
Issue number4
Publication statusPublished - 1 Jan 2018


  • Data analysis
  • Visual analytics
  • Visual interpretation
  • Visual model
  • Visual perception

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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