Three Post-Phenomenological Design Projects on and with ML Technologies as Philosophy-in-Practice

Jesse Josua Benjamin

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Abstract

In my doctoral research, I am concerned with making machine learning (ML) technologies accessible as a design material using post-phenomenological investigations. I use the latter framework because, on the one hand, it has become particularly widespread in HCI design research given its focus on technological mediation, or the shaping of subjectivity and objectivity, and according perceptions and actions in the world via technology. However, and on the other hand, the relationship between both approaches is reciprocal in my work. While post-phenomenology can inform design research, the former also requires assistance from the latter due to its own conceptual shortcomings regarding ML technologies. In this contribution, I focus on my work fusing post-phenomenology and design research as philosophy-in-practice to explicate conceptual vocabularies and provocative shorthands for approaching ML technologies as a design material.
Original languageEnglish
Title of host publication[ ] With Design: Reinventing Design Modes
Subtitle of host publicationProceedings of the 9th Congress of the International Association of Societies of Design Research (IASDR 2021)
EditorsGerhard Bruyns, Huaxin Wei
Place of PublicationSingapore
PublisherSpringer
Pages3540-3547
Number of pages8
ISBN (Electronic)978-981-19-4472-7
ISBN (Print)978-981-19-4471-0
DOIs
Publication statusPublished - 6 Nov 2022
Event9th Congress of the International Association of Societies of Design Research (IASDR 2021) - The Hong Kong Polytechnic University, Hong Kong, China
Duration: 5 Dec 20219 Dec 2021

Conference

Conference9th Congress of the International Association of Societies of Design Research (IASDR 2021)
Abbreviated titleIASDR
Country/TerritoryChina
CityHong Kong
Period5/12/219/12/21

Keywords

  • 2023 OA procedure

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