A Design-Led Exploration of Material Interactions between Machine Learning and Digital Portraiture

Green, David Philip and Lindley, Joseph and Mason, Zach and Coulton, Paul (2022) A Design-Led Exploration of Material Interactions between Machine Learning and Digital Portraiture. In: [ ] With Design: Reinventing Design Modes : Proceedings of the 9th Congress of the International Association of Societies of Design Research (IASDR 2021). IASDR: Congress of the International Association of Societies of Design Research . Springer, Singapore, pp. 3268-3283. ISBN 9789811944710

[thumbnail of IASDR - Faces_V4-COMPRESSED]
Text (IASDR - Faces_V4-COMPRESSED)
IASDR_Faces_V4_COMPRESSED.pdf - Accepted Version
Restricted to Repository staff only until 6 November 2024.
Available under License Creative Commons Attribution-NonCommercial.

Download (1MB)

Abstract

Design materials are defined as a combination of what they are, what they do, and the ways they interact with other materials. In this pictorial, we explore the interactions between machine learning (as a design material) and another design material—the human face—in the form of digital portraiture. Employing an exploratory Research through Design approach we consider how machine learning simultaneously enriches and subverts the materiality of the human face. Through a combination of images and text, we offer some considerations and provocations for further research.

Item Type:
Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1200/1201
Subjects:
?? design materialsmaterialitymachine learningdigital portraiturefacesartarts and humanities (miscellaneous)cultural studies ??
ID Code:
163147
Deposited By:
Deposited On:
08 Dec 2021 13:13
Refereed?:
Yes
Published?:
Published
Last Modified:
22 Nov 2023 01:23