This thesis is motivated by the steep increase in grass-root content production and the transformation of Web2.0 consumers into "prosumers", a concept that pre-dated the web itself (Toffler 1980). The notion of "prosumers" in the Web 2.0 and beyond presumes an increasingly wider-scale ability for content creation with a much deeper understanding of the implications and associated risks (at all levels from quality to IPR and copyright aspects). Technology today offers the possibility to easily master complex processes such as video/image editing with a home computer or a laptop yet this is not sufficient for managing all the decision points involved in an informed fashion. The widespread availability of office-automation solutions powerful enough to handle fairly complex processes of monitoring and management, raises the research question as to the feasibility of providing a didactic model and support tools that could better serve the increased desire of web users to become content producers. Accordingly this thesis reports on the research to assess the extent to which the complex "creative media content production process" can be described and formalised in terms of models of interacting processes and constraints that can be integrated within a model-based and data-driven decision support system to serve media content creation and production management for non-professional users working within an office automation computing environment. The study concluded that the hypothesis is feasible across the core common processes of media production in general but lower level support would require additional user input to provide information on the specific application scenario parametrics such as actor's (artistic) preferences, resources and constraints as may be particularised for various media production sets/genres/goals etc. and this can form the scope for future work based on this study. Additionally this study concluded that using Petri nets in order to understand the internal logic of the processes usefully allowed the decoupling of each process from the actors involved thus highlighting the input / output / constraints / risks-set affecting each node. This made it possible to verify pre-requisites and conditions easily as well as to have a clear indication of the factors determining the successful completion of an action; accordingly related risks and available choice space were highlighted thus facilitating informed decision making and clear understanding of process complexity along with its potential points of failure.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:617034 |
| Date | January 2014 |
| Creators | Fuschi, David Luigi |
| Publisher | University of Reading |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
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