NDLI: Lower Abstraction Level of TRIZ Inventive Principles Improves Ideation Productivity of Engineering Students

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Lower Abstraction Level of TRIZ Inventive Principles Improves Ideation Productivity of Engineering Students

Content Provider	Hyper Articles en Ligne (HAL)
Author	Livotov, Pavel Chandra Sekaran, Arun, Prasad Mas’udah, -
Copyright Year	2019
Abstract	The 40 Altshuller Inventive Principles with numerous sub-principles remain over decades the most frequently applied tool of the Theory of Inventive Problem Solving TRIZ for systematic idea generation. However, their application often requires a concentrated, creative and abstract way of thinking that can be fairly challenging for the newcomers to TRIZ. This paper describes an approach to reduce the abstraction level of inventive sub-principles and presents the results of the idea generation experiment conducted with three groups of undergraduate and graduate students from different years of study in mechanical and process engineering. The students were asked to generate and to record their individual ideas for three design problems using a pre-defined set of classical and modified sub-principles within 10 min. The overall outcomes of the experiment support the assumption that the less abstract wording of the modified sub-principles leads to higher number of ideas. The distribution of ideas between the fields of MATCHEM-IBD (Mechanical, Acoustic, Thermal, Chemical, Electrical, Magnetic, Intermolecular, Biological and Data processing) differs significantly between groups using modified and abstract sub-principles.
Related Links	https://inria.hal.science/hal-02905548/file/489563_1_En_41_Chapter.pdf
ISBN	9783030324971
Conference Proceedings	19th International TRIZ Future Conference (TFC)
DOI	10.1007/978-3-030-32497-1_41
Volume Number	AICT-572
Language	English
Publisher	HAL CCSD Springer International Publishing
Publisher Date	2019-01-01
Access Restriction	Open
Subject Keyword	Engineering creativity TRIZ Inventive Principles Automated invention Ideation performance Computer Science [cs]
Content Type	Text
Resource Type	Conference Proceedings
Subject	Medicine

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