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dc.contributor.authorLin, Rebecca
dc.contributor.authorLeake, Mackenzie
dc.contributor.authorLukáč, Michal
dc.date.accessioned2025-10-06T20:15:54Z
dc.date.available2025-10-06T20:15:54Z
dc.date.issued2025-09-27
dc.identifier.isbn979-8-4007-2037-6
dc.identifier.urihttps://hdl.handle.net/1721.1/163060
dc.descriptionUIST ’25, Busan, Republic of Koreaen_US
dc.description.abstractWhile bodies change over time and trends vary, most store-bought clothing comes in fixed sizes and styles and fails to adapt to these changes. Alterations can enable small changes to otherwise static garments, but these changes often require sewing and are non-reversible. We propose a modular approach to garment design that considers resizing, restyling, and reuse earlier in the design process. Our contributions include a compact set of modules and connectors that form the building blocks of modular garments, a method to decompose a garment into modules via integer linear programming, and a digital design tool that supports modular garment design and simulation. Our user evaluation suggests that our approach to modular design can support the creation of a wide range of garments and can help users transform them across sizes and styles while reusing the same building blocks.en_US
dc.publisherACM|The 38th Annual ACM Symposium on User Interface Software and Technologyen_US
dc.relation.isversionofhttps://doi.org/10.1145/3746059.3747632en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleRefashion: Reconfigurable Garments via Modular Designen_US
dc.typeArticleen_US
dc.identifier.citationRebecca Lin, Michal Lukáč, and Mackenzie Leake. 2025. Refashion: Reconfigurable Garments via Modular Design. In Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology (UIST '25). Association for Computing Machinery, New York, NY, USA, Article 102, 1–18.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2025-10-01T07:52:48Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2025-10-01T07:52:49Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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