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dc.contributor.authorCrouser, R. Jordanen_US
dc.contributor.authorOttley, Alvittaen_US
dc.contributor.authorSwanson, Kendraen_US
dc.contributor.authorMontoly, Anandaen_US
dc.contributor.editorKerren, Andreas and Garth, Christoph and Marai, G. Elisabetaen_US
dc.date.accessioned2020-05-24T13:52:00Z
dc.date.available2020-05-24T13:52:00Z
dc.date.issued2020
dc.identifier.isbn978-3-03868-106-9
dc.identifier.urihttps://doi.org/10.2312/evs.20201050
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evs20201050
dc.description.abstractThroughout the last decade, researchers have shown that the effectiveness of a visualization tool depends on the experience, personality, and cognitive abilities of the user. This work has also demonstrated that these individual traits can have significant implications for tools that support reasoning and decision-making with data. However, most studies in this area to date have involved only short-duration tasks performed by lay users. This short paper presents a preliminary analysis of a series of exercises with 22 trained intelligence analysts that seeks to deepen our understanding of how individual differences modulate expert behavior in complex analysis tasks.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.subjectHuman centered computing
dc.subjectVisualization
dc.subjectUser models
dc.titleInvestigating the Role of Locus of Control in Moderating Complex Analytic Workflowsen_US
dc.description.seriesinformationEuroVis 2020 - Short Papers
dc.description.sectionheadersMix: Color, Design, etc.
dc.identifier.doi10.2312/evs.20201050
dc.identifier.pages67-71


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License