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FUZZ-IEEE 2007, IEEE International Conference on Fuzzy Systems, Imperial College, London, UK, 23-26 July, 2007, Proceedings; 01/2007
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Universal Access in the Information Society. 01/2007; 6:207-217.
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Cognition, Technology & Work. 01/2005; 7:76-87.
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Natural Language Processing and Information Systems, 9th International Conference on Applications of Natural Languages to Information Systems, NLDB 2004, Salford, UK, June 23-25, 2004, Proceedings; 01/2004
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ABSTRACT: This paper addresses the use of artefacts as a resource for analysis. Artefacts are particularly useful in situations where direct observation is ineffective, in particular for infrequent activities. We discuss two classes of techniques: focusing on the 'artefact as designed' as a means of recovering designers' explicit and implicit knowledge and 'artefacts as used' as a means of uncovering the trail left by currently inactive processes. These techniques have been applied using a meeting capture system and meeting minutes as the artefact resources. This is part of a wider study to understand the nature of decisions and so reduce rework.
03/2003;
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Paul Rayson,
Bernadette Sharp,
Albert Alderson,
John Cartmell,
Caroline Chibelushi,
Rodney J. Clarke,
Alan J. Dix, Victor Onditi,
Amanda Quek,
Devina Ramduny,
Andy Salter,
Hanifa Shah,
Ian Sommerville,
Philip C. Windridge
01/2003
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Paul Rayson,
Bernadette Sharp,
Albert Alderson,
John Cartmell,
Caroline Chibelushi,
Alan Dix, Victor Onditi,
Amanda Quek,
Devina Ramduny,
Andy Salter,
Hanifa Shah,
Ian Sommerville,
Phil Windridge
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ABSTRACT: The Tracker project is studying rework in systems engineering projects. Our hypothesis is that providing decision makers with information about previous relevant decisions will assist in reducing the amount of rework in a project. We propose an architecture for the flexible integration of the tools implementing the variety of theories and models used in the project. The techniques include ethnographic analysis, natural language processing, activity theory, norm analysis, and speech and handwriting recognition. In this paper, we focus on the natural language processing components, and describe experiments which demonstrate the feasibility of our text mining approach.
12/2002;