Collective Intelligence to solve creative problems in conceptual design phase

Abstract : In industry, there is an interest in the collective resolution of creative problems found on the phase of conceptual design. In this work we introduce an information-based software framework for collaboration in the problem resolution process. This framework proposes the implementation of techniques from the collective intelligence research field in combination with the systematic methods provided by TRIZ theory. Both approaches are centered in the human aspect of the innovation process, and are complementary. While collective intelligence focuses on the intelligence or behavior that emerges in collaborative work, the TRIZ theory is centered in the individual's capacity to solve problems. The framework's objective is to improve the individual creativity provided by TRIZ method and tools, with the value created by the collective contributions. This work aims to expand the horizon in the field of computer aided innovation (CAI), to the next evolutionary step called Open CAI 2.0.
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René Lopez Flores, Stéphane Negny, Jean-Pierre Belaud, Jean-Marc Le Lann. Collective Intelligence to solve creative problems in conceptual design phase. Procedia Engineering, Elsevier, 2015, 131, pp.850-860. ⟨10.1016/j.proeng.2015.12.394⟩. ⟨hal-01830629⟩



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