CrowdLayout: Crowdsourced Design and Evaluation of Biological Network Visualizations

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dc.contributor.authorSingh, Divit P.en
dc.contributor.authorLisle, Leeen
dc.contributor.authorMurali, T. M.en
dc.contributor.authorLuther, Kurten
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2018-05-31T14:37:49Zen
dc.date.available2018-05-31T14:37:49Zen
dc.date.issued2018-04en
dc.description.abstractBiologists often perform experiments whose results generate large quantities of data, such as interactions between molecules in a cell, that are best represented as networks (graphs). To visualize these networks and communicate them in publications, biologists must manually position the nodes and edges of each network to reflect their real-world physical structure. This process does not scale well, and graph layout algorithms lack the biological underpinnings to offer a viable alternative. In this paper, we present CrowdLayout, a crowdsourcing system that leverages human intelligence and creativity to design layouts of biological network visualizations. CrowdLayout provides design guidelines, abstractions, and editing tools to help novice workers perform like experts. We evaluated CrowdLayout in two experiments with paid crowd workers and real biological network data, finding that crowds could both create and evaluate meaningful, high-quality layouts. We also discuss implications for crowdsourced design and network visualizations in other domains.en
dc.description.sponsorshipThis research was supported by NIH grants 1UH2CA203768-01 and R01-GM095955.en
dc.identifier.urihttp://hdl.handle.net/10919/83427en
dc.language.isoen_USen
dc.publisherACMen
dc.relation.ispartofCHI 2018: CHI Conference on Human Factors in Computing Systemsen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectCrowdsourcingen
dc.subjectDesignen
dc.subjectComputational biologyen
dc.subjectNetworksen
dc.subjectGraphsen
dc.subjectGraph drawingen
dc.subjectVisualizationen
dc.subjectCitizen scienceen
dc.titleCrowdLayout: Crowdsourced Design and Evaluation of Biological Network Visualizationsen
dc.typeConference proceedingen
dc.typePresentationen

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Destination Area: Data and Decisions (D&D)
Scholarly Works, Computer Science