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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.

Multi-agent generative AI for concept evaluation: consistency, knowledge integration and human alignment

Mas'udah, Mas'udah (1); Livotov, Pavel (1); Kokoschko, Björn R. (2,3); Xu, Wanyu (4); Hendra, Immanuel (5); Hartmann, Niklas (1)


Type:
Year:
2026
Editor:
Štorga, M.; Škec, S.; Martinec, T.; Marjanović, D.; Pavković, N.
Author:
Series:
DESIGN
Institution:
1: Offenburg University of Applied Sciences, Germany; 2: Otto von Guericke University Magdeburg, Germany; 3: Anhalt University of Applied Sciences, Germany; 4: Texas A&M University, United States of America; 5: Singapore University of Technology and Design, Singapore
Page(s):
2453-2462
DOI number:
ISSN:
2732-527X (Online)
Abstract:
Early-stage concept evaluation is critical for selecting viable designs. This study introduces a multi-agent generative AI framework for assessing concepts across four configurations: AI with retrieval-augmented knowledge, AI without external knowledge, human experts, and a hybrid approach. The findings show that AI panels tend to produce uniform evaluation patterns, while retrieval-augmented knowledge alters rating behaviour without leading to closer alignment with human judgement. Hybrid setting achieved closest alignment, indicating AI is effective when combined with expert interpretation.
Keywords:

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