The Use of Embedded Interaction Mechanisms for Low-Level Analysis Tasks

dc.contributor.author Sandouka, Kari
dc.contributor.author Noteboom, Cherie
dc.date.accessioned 2020-01-04T07:25:29Z
dc.date.available 2020-01-04T07:25:29Z
dc.date.issued 2020-01-07
dc.description.abstract The use of information visualization is a strategy to reduce information overload and cognitive efforts. Interaction mechanisms aid the exploration of data when it is not practical to display all data points in one visual display. This study reports the results of a pilot study. The purpose of the study is to determine what interactive mechanisms are used and how they support a task or set of tasks.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.166
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/63905
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Interactive Visual Analytics and Visualization for Decision Making – Making Sense of a Growing Digital World
dc.title The Use of Embedded Interaction Mechanisms for Low-Level Analysis Tasks
dc.type Conference Paper
dc.type.dcmi Text
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