dc.contributor.author | Lin, Rebecca | |
dc.contributor.author | Leake, Mackenzie | |
dc.contributor.author | Lukáč, Michal | |
dc.date.accessioned | 2025-10-06T20:15:54Z | |
dc.date.available | 2025-10-06T20:15:54Z | |
dc.date.issued | 2025-09-27 | |
dc.identifier.isbn | 979-8-4007-2037-6 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/163060 | |
dc.description | UIST ’25, Busan, Republic of Korea | en_US |
dc.description.abstract | While 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.publisher | ACM|The 38th Annual ACM Symposium on User Interface Software and Technology | en_US |
dc.relation.isversionof | https://doi.org/10.1145/3746059.3747632 | en_US |
dc.rights | Creative Commons Attribution | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | Association for Computing Machinery | en_US |
dc.title | Refashion: Reconfigurable Garments via Modular Design | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Rebecca 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.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
dc.identifier.mitlicense | PUBLISHER_POLICY | |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2025-10-01T07:52:48Z | |
dc.language.rfc3066 | en | |
dc.rights.holder | The author(s) | |
dspace.date.submission | 2025-10-01T07:52:49Z | |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |