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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.

A data-driven approach to studying dominant designs through patent images

Consoloni, Marco (1,2); Meini, Denny (1); Marino, Gabriele (1); Socci, Luciano (3); Giordano, Vito (1,2); Fantoni, Gualtiero (1,2)

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:
Consoloni, Marco (1,2); Meini, Denny (1); Marino, Gabriele (1); Socci, Luciano (3); Giordano, Vito (1,2); Fantoni, Gualtiero (1,2)
Series:
DESIGN
Institution:
1: Università di Pisa, Italy; 2: Business Engineering for Data Science (B4DS) research group, Italy; 3: Coesia, Italy
Page(s):
2243-2252
DOI number:
10.1017/pds.2026.10582
ISSN:
2732-527X (Online)
Abstract:
Dominant designs establish de facto standards for all products within an industry, shaping both competition and innovation dynamics. Studying dominant designs enables firms to make informed decisions for new product development and to anticipate technological shifts. This paper presents a computer-based method that automatically extracts the spatial configuration of components from patent drawings to support the analysis of dominant designs and anomaly detection. A case study on eyeglasses validates the approach, demonstrating its potential for data-driven design innovation.
Keywords:
data-driven design, artificial intelligence (AI), dominant design, patent drawings, new product development
DESIGN2026 - The 19th International Design Conference
Conferences

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