↓ Skip to main content

Comparing Color and Leader Line Highlighting Strategies in Coordinated View Geovisualizations

Overview of attention for article published in IEEE Transactions on Visualization and Computer Graphics, January 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
53 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Comparing Color and Leader Line Highlighting Strategies in Coordinated View Geovisualizations
Published in
IEEE Transactions on Visualization and Computer Graphics, January 2015
DOI 10.1109/tvcg.2014.2371858
Pubmed ID
Authors

Amy L. Griffin, Anthony C. Robinson

Abstract

In most coordinated view geovisualization tools, a transient visual effect is used to highlight observations across views when brushed with a mouse or other input device. Most current geovisualization and information visualization systems use colored outlines or fills to highlight observations, but there remain a wide range of alternative visual strategies that can also be implemented and compared to color highlighting to evaluate user performance. This paper describes the results of an experiment designed to compare user performance with two highlighting methods; color and leader lines. Our study methodology uses eye-tracking to capture participant eye fixations while they answer questions that require attention to highlighted observations in multiple views. Our results show that participants extract information as efficiently from coordinated view displays that use leader line highlighting to link information as they do from those that use a specific color to highlight items. We also found no significant differences when changing the color of the highlighting effect from red to black. We conclude that leader lines show significant potential for use as an alternative highlighting method in coordinated multiple view visualizations, allowing color to be reserved for representing thematic attributes of data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 30%
Student > Master 13 25%
Student > Bachelor 6 11%
Researcher 5 9%
Student > Doctoral Student 2 4%
Other 6 11%
Unknown 5 9%
Readers by discipline Count As %
Computer Science 30 57%
Earth and Planetary Sciences 4 8%
Agricultural and Biological Sciences 2 4%
Social Sciences 2 4%
Engineering 2 4%
Other 6 11%
Unknown 7 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 April 2018.
All research outputs
#7,939,629
of 25,377,790 outputs
Outputs from IEEE Transactions on Visualization and Computer Graphics
#837
of 2,300 outputs
Outputs of similar age
#101,303
of 360,914 outputs
Outputs of similar age from IEEE Transactions on Visualization and Computer Graphics
#5
of 12 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,300 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 63% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 360,914 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.