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A Framework for Visual Information Analysis

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Author
Neumann, Petra
Tang, Anthony
Carpendale, Sheelagh
Accessioned
2008-02-27T16:53:32Z
Available
2008-02-27T16:53:32Z
Computerscience
2007-07-12
Issued
2007-07-12
Subject
Computer Science
Type
unknown
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Abstract
To 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.
Notes
We 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.ca
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University of Calgary
Faculty
Science
Doi
http://dx.doi.org/10.11575/PRISM/30488
Uri
http://hdl.handle.net/1880/45784
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  • Science Research & Publications

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