Abstract Number:
3603
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Speed
Participants:
Taylor Wing (1), Sydney Bell (1), Kiegan Rice (1), Heike Hofmann (2)
Institutions:
(1) NORC at The University of Chicago, N/A, (2) Iowa State University, N/A
Co-Author(s):
First Author:
Presenting Author:
Abstract Text:
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| | |
Sponsors:
Section on Statistical Graphics
Tracks:
Miscellaneous
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