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Benchmarking AI design skills: insights from ChatGPT's participation in a prototyping hackathon.

Authors :
Ege, Daniel Nygård
Øvrebø, Henrik H.
Stubberud, Vegar
Berg, Martin Francis
Steinert, Martin
Vestad, Håvard
Source :
Proceedings of the Design Society; May2024, Vol. 4, p1999-2008, 10p
Publication Year :
2024

Abstract

This study provides insights into the capabilities and performance of generative AI, specifically ChatGPT, in engineering design. ChatGPT participated in a 48-hour hackathon by instructing two participants who acted out its instructions, successfully designing and prototyping a NERF dart launcher that finished second among six teams. The paper highlights the potential and limitations of generative AI as a tool for ideation, decision-making, and optimization in engineering tasks, demonstrating the practical applicability of generating viable design solutions under real-world constraints. [ABSTRACT FROM AUTHOR]

Details

Language :
English
Volume :
4
Database :
Complementary Index
Journal :
Proceedings of the Design Society
Publication Type :
Conference
Accession number :
177379674
Full Text :
https://doi.org/10.1017/pds.2024.202