In search for working principles using large language models: an experimental study
ABSTRACT: The use of artificial intelligence, especially large language models (LLMs), is increasingly explored to support early system development. This paper evaluates low-threshold LLM-based tools for supporting conceptual design. Through an experiment, two LLM-based tools were compared generating alternative solutions using an existing function model of an electro-mechanical system as input. Functions were provided in natural language and using the Functional Basis. Results show limitations and significant potentials for effective and efficient conceptual design support.
Authors
- Boris Eisenbart (ORCID: https://orcid.org/0000-0001-5595-0327)
- Kilian Gericke (ORCID: https://orcid.org/0000-0001-9949-2217)
- Ute Dietrich
- Fabio Hanspach
Institutions
- HTW Berlin - University of Applied Sciences (DE)
- University of Rostock (DE)
- Swinburne University of Technology (AU)
Publication Details
- Journal
- Proceedings of the Design Society
- Published
- 2026-07-02
- DOI
- https://doi.org/10.1017/pds.2026.10591
- Primary Topic
- Design Education and Practice
- Type
- article
- Field-Weighted Citation Impact
- 0.00