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  • AiLoupe at Intertextile 2023

Baurley, Sharon ORCID: https://orcid.org/0000-0003-1760-759X, Ozden Yenigun, Elif ORCID: https://orcid.org/0000-0003-2295-5601, Hatfield, Lissy ORCID: https://orcid.org/0009-0003-1442-7072, Jansen, Chipp ORCID: https://orcid.org/0000-0003-2951-6396, Ma, Zengtao ORCID: https://orcid.org/0009-0009-2775-4412 and Tuo, Boyuan ORCID: https://orcid.org/0000-0003-3674-2260, 2023, Show, Exhibition or Event, AiLoupe at Intertextile 2023

Abstract or Description:

AiLoupe allows designers and material developers to discover and assess textile materials for material identification, knowledge and selection. Identifying materials takes you to each Material Data Card, showing sensory subjective data, translating the tactile, physical elements of touching the materials digitally. AiLoupe uses the Sensory Materials Library which is an AI research project for materials selection in the product design process by improving conventional materials libraries with sensory and human experience properties of materials. We have demonstrated how AiLoupe can present sustainable alternatives as ‘like for likes’ to traditional less sustainable materials that Designers are more familiar with.

Events:
Title
Location
Dates
Type
Intertextile Shanghai Apparel Fabrics – Autumn Edition
Shanghai, China
28-30 Aug 2023
Museum/exhibition
Official URL: https://intertextile-shanghai-apparel-fabrics-autu...
Subjects: Other > Mathematical and Computer Sciences > G400 Computer Science
Other > Mathematical and Computer Sciences > G700 Artificial Intelligence
Creative Arts and Design > W200 Design studies > W230 Clothing/Fashion Design
Creative Arts and Design > W200 Design studies > W230 Clothing/Fashion Design > W231 Textile Design
School or Centre: Research Centres > Materials Science Research Centre
Funders: Funded by the Laboratory for Artificial Intelligence in Design under the InnoHK Research Clusters, Hong Kong Special Administrative Region Government
Date Deposited: 03 Oct 2023 15:38
Last Modified: 05 Oct 2023 15:37
URI: https://researchonline.rca.ac.uk/id/eprint/5549
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