My Color: Finding Your Optimal Color Style through ML

dc.contributor.advisorAhn, Sang-gyeun
dc.contributor.authorKim, Sooji
dc.date.accessioned2022-07-14T22:03:16Z
dc.date.issued2022-07-14
dc.date.submitted2020
dc.descriptionThesis (Master's)--University of Washington, 2020
dc.description.abstractDuring the Fourth Industrial Revolution, Machine Learning (ML) has become one of the most critical technologies in various industries around the world. However, designers tend to view ML as challenging to understand in the design field because they are not familiar with using ML in their actual work. In this paper, I focus on exploring a method that can design a better user experience (UX) in shopping using ML. I present the app My Color, which can analyze people’s interior color style and offer recommended colors based on their style preferences. Through this project, I suggest what specifically ML applied design projects can be, and I discuss methodology about how designers can use it positively without being overwhelmed.
dc.embargo.lift2023-07-14T22:03:16Z
dc.embargo.termsRestrict to UW for 1 year -- then make Open Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherKim_washington_0250O_24584.pdf
dc.identifier.urihttp://hdl.handle.net/1773/48735
dc.language.isoen_US
dc.rightsnone
dc.subject
dc.subjectDesign
dc.subject.other
dc.titleMy Color: Finding Your Optimal Color Style through ML
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Kim_washington_0250O_24584.pdf
Size:
7.17 MB
Format:
Adobe Portable Document Format

Collections