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.
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.
| Originalsprog | Engelsk |
|---|---|
| Publikationsdato | 2023 |
| Antal sider | 3 |
| Status | Udgivet - 2023 |
| Begivenhed | Designing Interactive Systems '23 - Carnegie Mellon University, Pittsburg, USA Varighed: 10 jul. 2023 → 14 jul. 2023 Konferencens nummer: 2023 https://dis.acm.org/2023/ https://dl.acm.org/doi/proceedings/10.1145/3563657 |
Konference
| Konference | Designing Interactive Systems '23 |
|---|---|
| Nummer | 2023 |
| Lokation | Carnegie Mellon University |
| Land/Område | USA |
| By | Pittsburg |
| Periode | 10/07/2023 → 14/07/2023 |
| Internetadresse |