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CreativeConnect: Supporting Reference Recombination for Graphic Design Ideation with Generative AI
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dc.contributor.author Choi, DaEun -
dc.contributor.author Hong, Sumin -
dc.contributor.author Park, Jeongeon -
dc.contributor.author Chung, John Joon Young -
dc.contributor.author Kim, Juho -
dc.date.accessioned 2025-01-20T17:10:15Z -
dc.date.available 2025-01-20T17:10:15Z -
dc.date.created 2024-06-14 -
dc.date.issued 2024-05-13 -
dc.identifier.isbn 9798400703300 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/57545 -
dc.description.abstract Graphic designers often get inspiration through the recombination of references. Our formative study (N=6) reveals that graphic designers focus on conceptual keywords during this process, and want support for discovering the keywords, expanding them, and exploring diverse recombination options of them, while still having room for designers' creativity. We propose CreativeConnect, a system with generative AI pipelines that helps users discover useful elements from the reference image using keywords, recommends relevant keywords, generates diverse recombination options with user-selected keywords, and shows recombinations as sketches with text descriptions. Our user study (N=16) showed that CreativeConnect helped users discover keywords from the reference and generate multiple ideas based on them, ultimately helping users produce more design ideas with higher self-reported creativity, compared to the baseline system without generative pipelines. While CreativeConnect was shown effective in ideation, we discussed how CreativeConnect can be extended to support other types of tasks in creativity support. © 2024 Copyright held by the owner/author(s) -
dc.language English -
dc.publisher Association for Computing Machinery -
dc.relation.ispartof Conference on Human Factors in Computing Systems - Proceedings -
dc.title CreativeConnect: Supporting Reference Recombination for Graphic Design Ideation with Generative AI -
dc.type Conference Paper -
dc.identifier.doi 10.1145/3613904.3642794 -
dc.identifier.wosid 001266059701049 -
dc.identifier.scopusid 2-s2.0-85194832982 -
dc.identifier.bibliographicCitation Choi, DaEun. (2024-05-13). CreativeConnect: Supporting Reference Recombination for Graphic Design Ideation with Generative AI. ACM Conference on Human Factors in Computing Systems, 1–25. doi: 10.1145/3613904.3642794 -
dc.identifier.url https://programs.sigchi.org/chi/2024/program/content/147936 -
dc.citation.conferenceDate 2024-05-11 -
dc.citation.conferencePlace US -
dc.citation.conferencePlace Honolulu -
dc.citation.endPage 25 -
dc.citation.startPage 1 -
dc.citation.title ACM Conference on Human Factors in Computing Systems -
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