User Interpretation of Data Visualization Contents Across Chart Types

Sydney Bell Co-Author
NORC at The University of Chicago
 
Kiegan Rice Co-Author
NORC at The University of Chicago
 
Heike Hofmann Co-Author
Iowa State University
 
Taylor Wing First Author
NORC at The University of Chicago
 
Taylor Wing Presenting Author
NORC at The University of Chicago
 
Tuesday, Aug 6: 10:15 AM - 10:20 AM
3603 
Contributed Speed 
Oregon Convention Center 
Data visualization enables people to convey complicated information in visual format, but we do not know what types of visualizations help or hurt interpretation. Using the AmeriSpeak Omnibus survey, a biweekly nationally representative survey of respondents from a probability-based survey panel, we examined user understanding and interpretation of different chart types. We asked panelists in three rounds of the survey the same questions targeting their understanding of the visual information presented to them while varying the design of the chart each time. Participants were asked to estimate specific values shown and determine if certain statements were supported by the data displayed in the chart. This research analyzes participants' accuracy and identifies differences in response patterns by chart type and across population subgroups. Our findings will be used to improve data visualization practices and provide key insights about graphical literacy among U.S. adults.

Keywords

Data Visualization

Visual Literacy

Charts 

Main Sponsor

Section on Statistical Graphics