Knowledge Base Repository

In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

Evaluating TRIZ with and without LLM support: an experimental study on engineering problem-solving

Čok, Vanja (1); Motte, Damien (2); Hmina, Khadija (3); El Hassani, Ibtissam (3,2,4); Demšar, Ivan (1); Tavčar, Jože (2); Vukašinović, Nikola (1)


Type:
Year:
2026
Editor:
Štorga, M.; Škec, S.; Martinec, T.; Marjanović, D.; Pavković, N.
Author:
Series:
DESIGN
Institution:
1: Faculty of Mechanical Engineering, University of Ljubljana, Slovenia; 2: Department of Design Sciences, Lund University, Sweden; 3: ENSAM, University of Moulay Ismail, Morocco; 4: Mathematics, Computer Science and Engineering Department, University of Quebec at Rimouski, Canada
Page(s):
507-516
DOI number:
ISSN:
2732-527X (Online)
Abstract:
This paper examines integrating Large Language Models (LLMs) into the TRIZ contradiction matrix (TRIZ-C+LLM) to support engineering students in creative problem-solving. Experiments with three problems show that LLMs did not always improve design quality for complex tasks but reduced cognitive workload, improved understanding of contradictions, and increased perceived usefulness. Prompting experience strongly influenced outcomes, highlighting both the promise and limits of combining TRIZ with generative AI.
Keywords:

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