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Title:Busting bias in the fashion industry
Author(s):Huynh, Heather
Advisor(s):Karahalios, Karrie
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):bias, fashion, human-computer interaction, visualization
Abstract:Diversity in the media is a huge issue; lately there have been wins like more minority representation in films and TV, but one area that is known to be less diverse is the fashion industry. While many companies are trying to have more diversity, not just in race but in body type too, it's hard to tell who is doing a good job and how well they are doing it. We were interested in seeing if there was a way to easily compare these brands and their diversity through visualization which resulted in StyleRep. StyleRep is an interface composed of four main parts: the "average'', skin, shape, and clustering. These four sections each focus on a different way to represent diversity either through body shape or skin color. While not perfect, we were still able to see general patterns and trends in the fashion industry through our visualization. We hope StyleRep is the first of many steps towards trying to better represent the state of diversity within the fashion industry and beyond.
Issue Date:2020-05-11
Type:Thesis
URI:http://hdl.handle.net/2142/108139
Rights Information:Copyright 2020 Heather Huynh
Date Available in IDEALS:2020-08-26
Date Deposited:2020-05


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