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Title: Internet crowdsourcing for generative design
Author: Wu, Hao
Awarding Body: University of Strathclyde
Current Institution: University of Strathclyde
Date of Award: 2017
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In recent years, the ‘‘power of the crowd” has been repeatedly demonstrated and various Internet platforms have been used to support applications of collaborative intelligence in tasks ranging from open innovation to image analysis. However, crowdsourcing applications in the fields of design research and creative innovation have been much slower to emerge. So, although there have been reports of systems and researchers using Internet crowdsourcing to carry out generative design, there are still many gaps in knowledge about the capability and limitations of the technology. Indeed the process models developed to support traditional commercial design (e.g. Pugh’s Total Design, Agile, Double-Diamond etc.) have yet to be established for Crowdsourced Design (cDesign). As a contribution to the development of such a general model this thesis proposes the cDesign framework to support the effective use [sic] crowdsourcing for generative design. Within the cDesign framework the effective evaluation of design quality is identified as a key component that not only enables the leveraging of a large, virtual workforce’s creative activities but is also fundamental to almost all iterative optimisation processes. This thesis first describes a brief history of the internet crowdsourcing and how crowdsourcing has been used in the design domain. Then the aims and objectives of this research work are listed which are followed by the methodologies chosen for the research. After that three crowdsourced design case studies are presented and discussed. The results of these case studies are integrated to establish the cDesign framework. A fourth crowdsourced design case study on the validation of this cDesign framework is described before a final discussion on the significance of this research work presented. The thesis concludes, by identifying the limitations of the work and opportunities for future research.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral