KeyGraph: Automatic Indexing by Co-occurrence Graph based on Building Construction Metaphor
ADL '98 Proceedings of the Advances in Digital Libraries Conference
Innovation support system for creative product design based on chance discovery
Expert Systems with Applications: An International Journal
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In this study, analysis has been executed on the scenarios for consensus on specifications of new products, which were extracted with the refinement of Double Helix Loop process for Chance Discovery. The aim of this analysis was to confirm that SCENARIO MAP, which refines KeyGraph by attaching macro photography of defects on the undefined names of the defects on its nodes, helps examinees to extract high quality scenarios through group discussion and to find the roles of SCENARIO MAP and Group discussion with its effect. 11 high quality scenarios for future proposal were extracted successfully after 104 scenarios. We found that SCENARIO MAP played the role to help examinees to identify the undefined defects and interpret the context of objective data and subjective data easily and the group discussion accelerated them to exchange their inherent experiences, know how and knowledge. The human centric process of SCENARIO MAP and group discussion can be regarded to give effect to extract these high quality scenarios.