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ENHANCING ENGINEERING CREATIVITY WITH AUTOMATED FORMULATION OF ELEMENTARY SOLUTION PRINCIPLES

Published online by Cambridge University Press:  19 June 2023

Pavel Livotov
Pavel Livotov*
Affiliation:
Offenburg University of Applied Sciences
*
Livotov, Pavel, Offenburg University of Applied Sciences, Germany, pavel.livotov@hs-offenburg.de

Abstract

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Several researchers have reported on the effectiveness of knowledge-based inventive stimuli, known in the Theory of Inventive Problem Solving (TRIZ), in enhancing engineering creativity, but few authors have focused on the comparative analysis of structured ideation in engineering design in terms of quantitative and qualitative outcomes. Previous studies have mainly concentrated on the investigation of exemplary selected single stimuli rather than on a critical assessment of the relationship between the structured application of inventive stimuli and their contribution to engineering design. The paper describes a method for the automated formulation of elementary creative stimuli for product or process design at different levels of abstraction and in different engineering domains. The experimental study evaluates the impact of structured automated idea generation on inventive thinking in engineering design and compares it with previous experimental studies in educational and industrial settings. The outlook highlights the benefits of using automated ideation in the context of AI-assisted invention and innovation.

Keywords

CreativityDesign methodsInnovationNew product developmentTRIZ
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 1645 - 1654
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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