TY - GEN
T1 - Exploring the Potential of Apple Face ID as a Drag, Queer and Trans Technology Design Tool.
AU - Argüello, Saúl Baeza
AU - Wakkary, Ron
AU - Andersen, Kristina
AU - Tomico, Oscar
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2021/6/28
Y1 - 2021/6/28
N2 - This pictorial is the result of a long-term research project focused on finding opportunities to use Apple Face ID software and infrastructure to build new hybrid identities, exploring its potential as a drag, queer and trans technology design tool. The aim of the project is to validate new paradigms for identity ambiguity, multiplicity and fluidity, using biometric artificial intelligence systems and technologies of control as tools for free identity expression, definition and personal proclamation. To do that, we present our motivation, methodology, approach to exploration, workshop results and validated outputs, and analyse the physical and digital implications of the research. The prostheses shown in this paper are functional, and allow users to train Apple Face ID software to design their own identities connected to their name, Apple ID Number, bank account, social networks, and any other data or online activity digitally associated to this persona.
AB - This pictorial is the result of a long-term research project focused on finding opportunities to use Apple Face ID software and infrastructure to build new hybrid identities, exploring its potential as a drag, queer and trans technology design tool. The aim of the project is to validate new paradigms for identity ambiguity, multiplicity and fluidity, using biometric artificial intelligence systems and technologies of control as tools for free identity expression, definition and personal proclamation. To do that, we present our motivation, methodology, approach to exploration, workshop results and validated outputs, and analyse the physical and digital implications of the research. The prostheses shown in this paper are functional, and allow users to train Apple Face ID software to design their own identities connected to their name, Apple ID Number, bank account, social networks, and any other data or online activity digitally associated to this persona.
KW - Apple Face ID
KW - Biometric Artificial Intelligence
KW - Digital Identity
KW - Drag
KW - Facial Recognition
KW - Gender
KW - Identity
KW - Identity Expression
KW - Multiple Identities
KW - Queer
KW - Race
KW - Trans Technology
UR - http://www.scopus.com/inward/record.url?scp=85110216205&partnerID=8YFLogxK
U2 - 10.1145/3461778.3461999
DO - 10.1145/3461778.3461999
M3 - Conference contribution
SP - 1654
EP - 1667
BT - DIS 2021 - Proceedings of the 2021 ACM Designing Interactive Systems Conference
ER -