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dc.contributor.authorHumphries, Willen_US
dc.contributor.authorMcCrickard, D. Scotten_US
dc.contributor.authorNeale, Dennisen_US
dc.date.accessioned2013-06-19T14:35:49Z
dc.date.available2013-06-19T14:35:49Z
dc.date.issued2008-05-01
dc.identifierhttp://eprints.cs.vt.edu/archive/00001031/en_US
dc.identifier.urihttp://hdl.handle.net/10919/20017
dc.description.abstractDesigning Computer-Supported Cooperative Work (CSCW) systems that support the widely varying needs of targeted users is difficult. There is no silver bullet technology that enables users to effectively collaborate with one another in different contexts. We propose a method of collaborative systems evaluation that enables novice evaluators to make insightful observations about the systems they evaluate at a level comparable to experts in certain situations. These observations come in the form of a categorical breakdown analysis of a laboratory study. The quantity and type of breakdowns can then be connected to recommended CSCW tools and features developed and described in the related literature. We conducted a study to explore the results generated when the method was applied by both experts and novices in the field of CSCW. We observed that experts found the method to be usable, and that novices capitalized on the knowledge embodied in the breakdown categories to make categorizations similar to those of experts.en_US
dc.format.mimetypeapplication/pdfen_US
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen_US
dc.relation.ispartofComputer Science Technical Reportsen_US
dc.subjectHuman-computer interactionen_US
dc.titleKnowledge Reuse Through Categorical Breakdown Analysis: A Method for Collaborative Systems Evaluationen_US
dc.typeTechnical reporten_US
dc.identifier.trnumberTR-08-09en_US
dc.type.dcmitypeTexten_US
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00001031/01/ind_study_paper_0505_final.pdf


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