Join Us Sign In

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.

Comparing human, LLM, and LLM-QFD approaches to technical requirement extraction

Fain, Nuša (1); Vukašinović, Nikola (2); Čok, Vanja (2)

Type:
Papers
DS 145: Proceedings of the DESIGN2026 19th International Design Conference
Year:
2026
Editor:
Štorga, M.; Škec, S.; Martinec, T.; Marjanović, D.; Pavković, N.
Author:
Fain, Nuša (1); Vukašinović, Nikola (2); Čok, Vanja (2)
Series:
DESIGN
Institution:
1: Sprott School of Business, Carleton University, Canada; 2: Faculty of Mechanical Engineering, University of Ljubljana, Slovenia
Page(s):
537-546
DOI number:
10.1017/pds.2026.10412
ISSN:
2732-527X (Online)
Abstract:
This study investigates how large language models (LLMs) support extracting technical requirements from early product pitches. Mechanical engineering students worked under three conditions: manual, LLM-assisted, and LLM combined with a QFD interface. Both AI-assisted conditions improved requirement quality and lowered perceived difficulty. Thematic analysis showed cognitive effort shifted from generating requirements to evaluating and verifying AI outputs, while the LLM-only group reported the most positive attitudes.
Keywords:
quality function deployment (QFD), requirements management, artificial intelligence (AI)
DESIGN2026 - The 19th International Design Conference
Conferences

This site uses cookies and other tracking technologies to assist with navigation and your ability to provide feedback, analyse your use of our products and services, assist with our promotional and marketing efforts, and provide content from third parties. Privacy Policy.

Cookie Settings Accept Cookies