CSDL Home H HICSS 2006 Proceedings of the 39th Annual Hawaii International Conference on System Sciences
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Kauia, HI, USA
Jan. 4, 2006 to Jan. 7, 2006
ISBN: 0-7695-2507-5
pp: 55
Daniel M. Russell , IBM Almaden Research Center
Malcolm Slaney , IBM Almaden Research Center
Yan Qu , IBM Almaden Research Center
Mave Houston , IBM Almaden Research Center
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HICSS.2006.73
ABSTRACT
How do people work with large document collections? We studied the effects of different kinds of analysis tools on the behavior of people doing rapid large-volume data assessment, analysis and organization. We analyzed the micro-structure details of using automated clustering techniques, the use of standard timeline and cluster visualization methods, alongside desktop paper sorting and piling. We find that the "natural" methods people use (with piles of paper documents) are in fact very sophisticated and have a subtlety that is lacking in current computer interfaces. This analysis shows that the lack of expressiveness and responsiveness in current interface designs dramatically limits human performance, suggesting ways in which the next generation of analytic tools must evolve in order to support literate use of large volume/complex document collections.
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CITATION
Daniel M. Russell,
Malcolm Slaney,
Yan Qu,
Mave Houston,
"Being Literate with Large Document Collections: Observational Studies and Cost Structure Tradeoffs", HICSS, 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences,
Proceedings of the 39th Annual Hawaii International Conference on System Sciences 2006, pp. 55, doi:10.1109/HICSS.2006.73