Research Website

https://engineering.purdue.edu/HIVELab/

Keywords

Information Visualization, visualization literacy, numeracy, need for cognition, cognitive traits

Presentation Type

Talk

Research Abstract

Researchers in the field of Information Visualization have suggested that users’ cognitive abilities would likely to affect their understanding of data visualizations and deeper exploration in the visualizations. However, the evidence is still scant to link between user’s visualization literacy and their cognitive traits. Thus, the research goal of this study is to explore how user’s visualization literacy and their cognitive traits are related. In particular, we focused on two cognitive traits: numeracy and need-for-cognition. In order to achieve the goal, first, we measured visualization literacy, numeracy, and need-for-cognition using existing instruments with 46 Amazon Mechanical Turk workers, and the scores of the tree instruments were analyzed. The results showed that a moderate positive relationship between visualization literacy and numeracy (Spearman rho correlation coefficient = 0.571, P-Value=0.000); a moderate positive relationship between visualization literacy and need-for-cognition (Spearman rho correlation coefficient = 0.403, P-Value=0.006). In short, this study provides researchers of visualization literacy understanding of how users’ ability to interpret visualization relate their cognitive traits.

Session Track

Sensing and Control

Share

COinS
 
Aug 4th, 12:00 AM

How User's Visualization Literacy Relates to Their Cognitive Traits

Researchers in the field of Information Visualization have suggested that users’ cognitive abilities would likely to affect their understanding of data visualizations and deeper exploration in the visualizations. However, the evidence is still scant to link between user’s visualization literacy and their cognitive traits. Thus, the research goal of this study is to explore how user’s visualization literacy and their cognitive traits are related. In particular, we focused on two cognitive traits: numeracy and need-for-cognition. In order to achieve the goal, first, we measured visualization literacy, numeracy, and need-for-cognition using existing instruments with 46 Amazon Mechanical Turk workers, and the scores of the tree instruments were analyzed. The results showed that a moderate positive relationship between visualization literacy and numeracy (Spearman rho correlation coefficient = 0.571, P-Value=0.000); a moderate positive relationship between visualization literacy and need-for-cognition (Spearman rho correlation coefficient = 0.403, P-Value=0.006). In short, this study provides researchers of visualization literacy understanding of how users’ ability to interpret visualization relate their cognitive traits.

http://docs.lib.purdue.edu/surf/2016/presentations/129