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ColoGene: Empowering Designers with Genetic Narratives of Traditional Chinese Colors

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

In color design, cultural knowledge remains scattered across academic papers and museums, making it less accessible during the creative process when designers need it most. We present ColoGene, a culturally-informed color design tool that transforms colors from simple visual values into cultural objects, with contextualization and provenance tracking through verifiable sources. This enables culturally-driven color selection to integrate more seamlessly into design workflows. We evaluated ColoGene through formative interviews and a pilot workshop study. Initial results showed more consistent task completion, larger pre-post gains on cultural design measures, and high usability scores compared to traditional tools. Our findings suggest that making cultural context accessible and actionable can improve both design efficiency and cultural justification quality, representing a promising direction for enabling better culture-sensitive design. © 2026 Copyright held by the owner/author(s).
Original languageEnglish
Title of host publicationCHI EA '26
Subtitle of host publicationProceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Number of pages7
ISBN (Print)979-8-4007-2281-3
DOIs
Publication statusPublished - 13 Apr 2026
Event2026 ACM CHI Conference on Human Factors in Computing Systems (CHI 2026): Creating Tomorrow Together - Centre de Convencions Internacional de Barcelona, Barcelona, Spain
Duration: 13 Apr 202617 Apr 2026
https://chi2026.acm.org/

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2026 ACM CHI Conference on Human Factors in Computing Systems (CHI 2026)
Abbreviated titleCHI'26
PlaceSpain
CityBarcelona
Period13/04/2617/04/26
Internet address

Research Keywords

  • Chinese Traditional Colors
  • Color Design Tool
  • Design Methods
  • Evidence-Informed Decision-Making

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