Perceptual complexity of soil-landscape maps: a user evaluation of color organization in legend designs using eye tracking

We compared the ability of two legend designs on a soil-landscape map to efficiently and effectively support map reading tasks with the goal of better understanding how the design choices affect user performance. Developing such knowledge is essential to design effective interfaces for digital earth systems. One of the two legends contained an alphabetical ordering of categories, while the other used a perceptual grouping based on the Munsell color space. We tested the two legends for 4 tasks with 20 experts (in geography-related domains). We analyzed traditional usability metrics and participants’ eye movements to identify the possible reasons behind their success and failure in the experimental tasks. Surprisingly, an overwhelming majority of the participants failed to arrive at the correct responses for two of the four tasks, irrespective of the legend design. Furthermore, participants’ prior knowledge of soils and map interpretation abilities led to interesting performance differences between the two legend types. We discuss how participant background might have played a role in performance and why some tasks were particularly hard to solve despite participants’ relatively high levels of experience in map reading. Based on our observations, we caution soil cartographers to be aware of the perceptual complexity of soil-landscape maps.

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PID https://www.doi.org/10.6084/m9.figshare.4033545
PID https://www.doi.org/10.6084/m9.figshare.4033545.v1
URL http://dx.doi.org/10.6084/m9.figshare.4033545
URL http://dx.doi.org/10.6084/m9.figshare.4033545.v1
URL https://dx.doi.org/10.6084/m9.figshare.4033545.v1
URL https://figshare.com/articles/Perceptual_complexity_of_soil-landscape_maps_a_user_evaluation_of_color_organization_in_legend_designs_using_eye_tracking/4033545
URL https://dx.doi.org/10.6084/m9.figshare.4033545
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Author Çöltekin, Arzu
Author Alžběta Brychtová
Author Griffin, Amy L.
Author Robinson, Anthony C.
Author Imhof, Mark
Author Pettit, Chris
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Collected From Datacite; figshare
Hosted By figshare
Publication Date 2016-10-15
Publisher Taylor & Francis
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Language UNKNOWN
Resource Type Dataset
keyword FOS: Sociology
keyword FOS: Biological sciences
system:type dataset
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::06a7f1f671df90ef1f66dc472c8e2f04
Author jsonws_user
Version None
Last Updated 13 January 2021, 13:34 (CET)
Created 13 January 2021, 13:34 (CET)