Designing for Reflexive Use of Generative AI

Research output: Contribution to conference - NOT published in proceeding or journalPaperResearch

Abstract

The increased popularity of generative AI calls for methods for
designers to evaluate their phenomenological qualities. Accuracy
or efficiency are not sufficient concepts as the aesthetic qualities
of generative models have significant impact on how they work
when employed in the real world. I have propose an approach to
designing for the reflexive use of generative AI. The intention is
to be able to design interfaces that afford the ability to interrogate
AI-based models and systems on particular experiential qualities.
This is among others, relevant for designers to assess qualities of
models ahead of their implementation in a system in the wild.
Original languageEnglish
Publication date2023
Number of pages3
Publication statusPublished - 2023
EventDesigning Interactive Systems Conference - Carnegie Mellon University, Pittsburg, United States
Duration: 10 Jul 202314 Jul 2023
Conference number: 2023
https://dis.acm.org/2023/
https://dl.acm.org/doi/proceedings/10.1145/3563657

Conference

ConferenceDesigning Interactive Systems Conference
Number2023
LocationCarnegie Mellon University
Country/TerritoryUnited States
CityPittsburg
Period10/07/202314/07/2023
Internet address

Keywords

  • generative ai
  • reflexive use
  • postphenomenology
  • aesthetics

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