Exploring a Makeup Support System for Transgender Passing based on Automatic Gender Recognition
Toby Chong, Nolwenn Maudet, Katsuki Harima, Takeo Igarashi

TL;DR
This paper explores how automatic gender recognition technology can be adapted to support transgender individuals in passing, focusing on a virtual makeup system tested through interviews in Tokyo.
Contribution
It introduces a virtual makeup support system for transgender passing and investigates its potential benefits in non-Western contexts like Japan.
Findings
AGR systems can assist transgender passing under specific conditions
Participants found virtual makeup helpful in expressing gender identity
Context and strict conditions are crucial for system effectiveness
Abstract
How to handle gender with machine learning is a controversial topic. A growing critical body of research brought attention to the numerous issues transgender communities face with the adoption of current automatic gender recognition (AGR) systems. In contrast, we explore how such technologies could potentially be appropriated to support transgender practices and needs, especially in non-Western contexts like Japan. We designed a virtual makeup probe to assist transgender individuals with passing, that is to be perceived as the gender they identify as. To understand how such an application might support expressing transgender individuals gender identity or not, we interviewed 15 individuals in Tokyo and found that in the right context and under strict conditions, AGR based systems could assist transgender passing.
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Taxonomy
TopicsFace recognition and analysis · Innovative Human-Technology Interaction · Sexuality, Behavior, and Technology
