most citedThe Huge Variable Space in Empirical Studies for Visualization -- A Challenge as well as an opportunity for Visualization Psychology

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.HC2020

Developing Effective Community Network Analysis Tools According to Visualization Psychology

Darren J. Edwards, Min Chen

Visualization is a useful technology in health science, and especially for community network analysis. Because visualization applications in healthcare are typically risk-averse, h…

cs.HC20201 cited

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

Min Chen, Alfie Abdul-Rahman, David H. Laidlaw

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 numbe…

cs.HC2020

HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models

Qianwen Wang, William Alexander, Jack Pegg +2

In this paper, we present a visual analytics tool for enabling hypothesis-based evaluation of machine learning (ML) models. We describe a novel ML-testing framework that combines t…

cs.GR2019

Visual Abstraction

Ivan Viola, Min Chen, Tobias Isenberg

In this article we revisit the concept of abstraction as it is used in visualization and put it on a solid formal footing. While the term \emph{abstraction} is utilized in many sci…

cs.HC2019

Juxtaposing Controlled Empirical Studies in Visualization with Topic Developments in Psychology

Alfie Abdul-Rahman, Rita Borgo, Min Chen +2

Empirical studies form an integral part of visualization research. Not only can they facilitate the evaluation of various designs, techniques, systems, and practices in visualizati…