My Color: Finding Your Optimal Color Style through ML

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Kim, Sooji

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Abstract

During 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.

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Thesis (Master's)--University of Washington, 2020

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