The Huge Variable Space in Empirical Studies for Visualization – A Challenge as well as an opportunity for Visualization Psychology

09/28/2020
by   Min Chen, et al.
0

In each of the last five years, a few dozen empirical studies appeared in visualization journals and conferences. The existing empirical studies have already featured a large number of variables. There are many more variables yet to be studied. While empirical studies enable us to obtain knowledge and insight about visualization processes through observation and analysis of user experience, it seems to be a stupendous challenge for exploring such a huge variable space at the current pace. In this position paper, we discuss the implication of not being able to explore this space effectively and efficiently, and propose means for addressing this challenge.

READ FULL TEXT

page 1

page 2

page 3

research
08/01/2019

Vis4Vis: Visualization for (Empirical) Visualization Research

Appropriate evaluation is a key component in visualization research. It ...
research
09/06/2019

Juxtaposing Controlled Empirical Studies in Visualization with Topic Developments in Psychology

Empirical studies form an integral part of visualization research. Not o...
research
09/03/2021

Illegible Semantics: Exploring the Design Space of Metal Logos

The logos of metal bands can be by turns gaudy, uncouth, or nearly illeg...
research
08/28/2023

Draco 2: An Extensible Platform to Model Visualization Design

Draco introduced a constraint-based framework to model visualization des...
research
01/23/2020

Phoenixmap: An Abstract Approach to Visualize 2D Spatial Distributions

The multidimensional nature of spatial data poses a challenge for visual...
research
09/28/2020

A Testing Environment for Continuous Colormaps

Many computer science disciplines (e.g., combinatorial optimization, nat...

Please sign up or login with your details

Forgot password? Click here to reset