Building user context into workflow process models

Bates, D 2007, Building user context into workflow process models , PhD thesis, University of Salford.

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Abstract

industries. This work identified clear business benefits for an intelligent algorithm that could match their information delivery requirements to the capability of their delivery networks. Therefore this research introduces a new model for relating distributed information sources to a user's requirements and context/ containing within it such an algorithm. However/ fundamentally what is new is that in doing this/ the disparate worlds of context and workflow management research are brought together. In other words/ the aim is to build user context into workflow process models. This work is divided into three phases, the first of which is concerned with the application of context to workflows and introduces the new model. The outcome of this phase is a set of context-driven workflows. To ensure robustness of the model's design/ a series of key questions were asked. From the subsequent answers/ it was then possible to postulate how the model could be enhanced to accommodate them. Out of this process/ there emerged a number of important conclusions/ in particular the need for a set of supplementary advanced tasks under certain workflow criteria. The second phase is concerned with a system implementation prototype of the model. The core purpose of this prototype is a working system capable of demonstrating the key concepts of the research/ which can then be formally evaluated. The third phase is the evaluation phase which includes sections on software testing, user feedback and a critique. One of the aims of the work was not just to concentrate on the specific case/ but to draw out some general principles on formulating context-aware systems. Therefore this phase also introduces a context template for this very purpose. This is further elaborated with a look at the subsequent development that has emerged from this work, called mi-Guide.

Item Type: Thesis (PhD)
Schools: Schools > School of Computing, Science and Engineering
Funders: Engineering and Physical Sciences Research Council (EPSRC)
Depositing User: Institutional Repository
Date Deposited: 16 Aug 2021 13:22
Last Modified: 27 Aug 2021 21:57
URI: http://usir.salford.ac.uk/id/eprint/61569

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