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dc.contributor.authorXiong, Cindyen_US
dc.contributor.authorPadilla, Laceen_US
dc.contributor.authorGrayson, Kenten_US
dc.contributor.authorFranconeri, Stevenen_US
dc.contributor.editorKosara, Robert and Lawonn, Kai and Linsen, Lars and Smit, Noeskaen_US
dc.date.accessioned2019-06-02T18:16:17Z
dc.date.available2019-06-02T18:16:17Z
dc.date.issued2019
dc.identifier.isbn978-3-03868-091-8
dc.identifier.urihttps://doi.org/10.2312/trvis.20191186
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/trvis20191186
dc.description.abstractPrior research suggests that perceived transparency is often associated with perceived trust. For some data types, greater transparency in data visualization is also associated with an increase in the amount of information depicted. Based on prior work in economics and political science that has identified four dimensions of transparency, we examined the influence of accuracy, clarity, amount of disclosure, and thoroughness on a decision task where participants relied on map-based visualizations with varying complexity to solve a crisis. The results of our preliminary analysis suggest that perceived clarity, amount of disclosure. and thoroughness significantly predicted individuals' selection of a Google Maps-like application with either less information or more information. Trust and perceived accuracy did not significantly predict which navigation application visualization participants decided to use (i.e., one with more information or less information). Further, our preliminary results suggest that an individual's ratings of accuracy and disclosure of a visualization predicted their ratings of the trustworthiness of that visualization. We discuss the implications of a possible dissociation between trust and decision tasks on visualization evaluation. In future work, we aim to examine the influence of the amount of information shown in a visualization on ratings of trust and determine the generalizability of our preliminary findings to different task types and visualization approaches.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectLaboratory experiments
dc.subjectHCI theory
dc.subjectconcepts and models
dc.subjectEmpirical studies in HCI
dc.titleExamining the Components of Trust in Map-Based Visualizationsen_US
dc.description.seriesinformationEuroVis Workshop on Trustworthy Visualization (TrustVis)
dc.description.sectionheadersPapers
dc.identifier.doi10.2312/trvis.20191186
dc.identifier.pages19-23


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