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

Cöltekin, Arzu; Brychtova, Alzbeta; Griffin, Amy L; Robinson, Anthony C; Imhof, Mark; Pettit, Chris (2017). Perceptual complexity of soil-landscape maps: a user evaluation of color organization in legend designs using eye tracking. International Journal of Digital Earth, 10(6):560-581.

Abstract

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.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > Computer Science Applications
Physical Sciences > General Earth and Planetary Sciences
Language:English
Date:2017
Deposited On:02 Feb 2017 10:51
Last Modified:16 Jan 2025 02:39
Publisher:Taylor & Francis
ISSN:1753-8947
OA Status:Closed
Publisher DOI:https://doi.org/10.1080/17538947.2016.1234007

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