Measures in Visualization Space

TL;DR

This paper surveys various measures used in visualization to evaluate techniques, perceptual qualities, and overall processes, highlighting their strengths, limitations, and future research challenges.

Contribution

It provides a comprehensive classification and analysis of existing visualization measures, outlining open challenges for advancing the field.

Findings

Different types of measures include quantitative and qualitative approaches.

Measures evaluate visualization techniques, perceptual features, and economic factors.

The paper identifies gaps and future directions in visualization measurement research.

Abstract

Measurement is an integral part of modern science, providing the fundamental means for evaluation, comparison, and prediction. In the context of visualization, several different types of measures have been proposed, ranging from approaches that evaluate particular aspects of individual visualization techniques, their perceptual characteristics, and even economic factors. Furthermore, there are approaches that attempt to provide means for measuring general properties of the visualization process as a whole. Measures can be quantitative or qualitative, and one of the primary goals is to provide objective means for reasoning about visualizations and their effectiveness. As such, they play a central role in the development of scientific theories for visualization. In this chapter, we provide an overview of the current state of the art, survey and classify different types of visualization measures, characterize their strengths and drawbacks, and provide an outline of open challenges for future research.