An empirical evaluation of three-dimensional pie charts with individually extruded sectors in a geovisualization context
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Author (Corporation)
Publication date
2020
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Collections
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01A - Journal article
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Information Visualization
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Volume
19
Issue / Number
3
Pages / Duration
183-206
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SAGE
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Abstract
This study compares participants’ performance in extracting information from three-dimensional pie charts with individually extruded sectors in a single map frame against two-dimensional pie and bar charts in adjacent map frames. Specifically, we examine the response accuracy and response times of 181 adults who were asked to (1) identify the highest magnitude, (2) estimate a proportion, (3) perform both at the same time, and (4) solve a map-related task using the two chart setups. For each task, charts were shown on backgrounds with increasing visual complexity: a blank, a borders-only, and a choropleth map. Furthermore, we tested whether participants’ performance improved through additional practice with the two chart types. We did not observe any differences in participants’ aggregated response accuracy or response times between the tested three-dimensional and two-dimensional chart types for the (1) highest magnitude task and (2) proportion task. However, participants solved the (3) combination task with two-dimensional pie and bar charts on a blank background more accurately and were faster in fulfilling the (4) spatial task with three-dimensional pie charts. The first difference, however, leveled for participants who gained more practice and who accomplished the combination task on maps with higher visual complexity, whereas the second difference persisted even for more trained subjects.
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ISBN
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1473-8724
1473-8716
1473-8716
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
peer-reviewed
Open access category
Closed
Citation
Schnürer, R., Ritzi, M., Cöltekin, A., & Sieber, R. (2020). An empirical evaluation of three-dimensional pie charts with individually extruded sectors in a geovisualization context. Information Visualization, 19(3), 183–206. https://doi.org/10.1177/1473871619896103