A Framework for Visual Information Analysis

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dc.contributor.authorNeumann, Petraeng
dc.contributor.authorTang, Anthonyeng
dc.contributor.authorCarpendale, Sheelagheng
dc.date.accessioned2008-02-27T16:53:32Z
dc.date.available2008-02-27T16:53:32Z
dc.date.computerscience2007-07-12eng
dc.date.issued2007-07-12eng
dc.description.abstractTo design information visualization tools that support users needs, we need to understand how users engage with information visualizations in their analysis process. With the rapid growth in size and complexity of datasets, the practicality of an individual analyzing an entire dataset is becoming unrealistic. Instead, the expertise to make informed decisions about these information-rich datasets is often best accomplished by a team. However, there exist relatively few models that describe the visual analysis process, and only few studies that explore the differences between how individuals and teams use visualizations. We present an observational study where we explored the information analysis process of groups and individuals in the context of visual information. From the analysis of our study, we derive a framework that captures the activities of co-located teams and individuals engaged in information analysis. This framework has implications for the design, heuristic evaluation, and analysis of both collaborative and single-user digital information visualization tools.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department2007-871-23eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30488
dc.identifier.urihttp://hdl.handle.net/1880/45784
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titleA Framework for Visual Information Analysiseng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
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