Icon Set Selection via Human Computation

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dc.contributor.authorLaursen, Lasse Farnungen_US
dc.contributor.authorKoyama, Yukien_US
dc.contributor.authorChen, Hsiang-Tingen_US
dc.contributor.authorGarces, Elenaen_US
dc.contributor.authorGutierrez, Diegoen_US
dc.contributor.authorHarper, Richarden_US
dc.contributor.authorIgarashi, Takeoen_US
dc.contributor.editorEitan Grinspun and Bernd Bickel and Yoshinori Dobashien_US
dc.date.accessioned2016-10-11T05:31:28Z
dc.date.available2016-10-11T05:31:28Z
dc.date.issued2016
dc.description.abstractPicking the best icons for a graphical user interface is difficult. We present a new method which, given several icon candidates representing functionality, selects a complete icon set optimized for comprehensibility and identifiability. These two properties are measured using human computation. We apply our method to a domain with a less established iconography and produce several icon sets. To evaluate our method, we conduct a user study comparing these icon sets and a designer-picked set. Our estimated comprehensibility score correlate with the percentage of correctly understood icons, and our method produces an icon set with a higher comprehensibility score than the set picked by an involved icon designer. The estimated identifiability score and related tests did not yield significant findings. Our method is easy to integrate in traditional icon design workflow and is intended for use by both icon designers, and clients of icon designers.en_US
dc.description.sectionheadersShort Papers
dc.description.seriesinformationPacific Graphics Short Papers
dc.identifier.doi10.2312/pg.20161326
dc.identifier.isbn978-3-03868-024-6
dc.identifier.issn-
dc.identifier.pages1-6
dc.identifier.urihttps://doi.org/10.2312/pg.20161326
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pg20161326
dc.publisherThe Eurographics Associationen_US
dc.subjectH.5.2. [Information Systems]
dc.subjectInformation Interfaces and Presentation (e.g. HCI)
dc.subjectUser Interfaces
dc.subjectGraphical user interfaces (GUI)
dc.subjectI.3.8. [Computing Methodologies]
dc.subjectComputer Graphics
dc.subjectApplications
dc.titleIcon Set Selection via Human Computationen_US
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