Abstract
This one day workshop will explore the use of Generative Artificial Intelligence (GenAI) in design research and practice. Generative technologies are developing rapidly and many designers are using them. Yet, there remains little published work on the use of GenAI in design. Our goal is to not only showcase the potential of GenAI for design, but to engage in discussions of its shortcomings and opportunities as they have been already articulated by scholars. By synthesizing both published and unpublished works, we will develop best practices, ethical considerations, and future research directions for the use of GenAI in design. We will explore a range of topics and themes, including leveraging the characteristics of GenAI for design, mapping the diverse applications of GenAI in design, envisioning a framework for design, and guiding future work on GenAI in design research. Ultimately, we hope to provide a roadmap for the integration of GenAI into the design research process and to encourage designers and researchers to explore the potential of GenAI in a thoughtful and deliberate way.
Original language | English |
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Title of host publication | DIS 2023 Companion |
Subtitle of host publication | Companion Publication of the 2023 ACM Designing Interactive Systems Conference |
Editors | Daragh Byrne, Nikolas Martelaro, Andy Boucher, David Chatting, Sarah Fdili Alaoui, Sarah Fox, Iohanna Nicenboim, Cayley MacArthur |
Place of Publication | New York |
Publisher | Association for Computing Machinery (ACM) |
Pages | 107-109 |
Number of pages | 3 |
ISBN (Print) | 978-1-4503-9898-5 |
DOIs | |
Publication status | Published - 2023 |
Event | 2023 ACM Designing Interactive Systems Conference, DIS 2023 Companion - Pittsburgh, United States Duration: 10 Jul 2023 → 14 Jul 2023 |
Conference
Conference | 2023 ACM Designing Interactive Systems Conference, DIS 2023 Companion |
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Country/Territory | United States |
City | Pittsburgh |
Period | 10/07/23 → 14/07/23 |
Keywords
- computational creativity
- creative practices
- design research
- generative artificial intelligence