VLAT: Development of a Visualization Literacy Assessment Test

By Sukwon Lee, Sung-Hee Kim, Bum Chul Kwon. IEEE Transactions on Visualization and Computer Graphics, 2017

316 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/ee7228a307bed93677040896fb13d7ed9da482fc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. C. von der Weth
2. Mohan Kankanhalli
3. Brian Y. Lim
4. Ashraf Abdul
5. Xinru Wang
6. Ming Yin

In Computer Vision and Pattern Recognition

1. Ashraf Abdul
2. Mohan Kankanhalli
3. Brian Y. Lim
4. Ming Yin
5. Xinru Wang
6. Anind K. Dey
7. Q. Liao
8. Longo Luca

Citations in the corpus

• COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations (2020, methodology): “We selected the COGAM denoted by the green dot (e) for the user study. interpretation tasks of various visualizations [33] to multi-chart interfaces with line and lollipop charts by including questions about multiple chart comparisons and multivariate counterfactual reasoning, which are relevant…”