Can AI replace or augment human capabilities in design? Recently, the claim was made that Large Language Models (LLMs) could work as a database of human experiences and be a valuable resource in human-centered design processes. If we take this claim at face value, it would imply that LLMs could be a proxy for human experiences in terms of representing the needs of future users in an interaction design process. Instead of involving human users, we could then have AI-based tools represent the problem space and create the artifacts, such as personas and scenarios, and in this way, replace humans and accounts of their experiences in interaction design.
In this workshop, we want to put this claim to the test. We will engage critically, playfully, and constructively to explore the limits and potential of using AI-based tools in interaction design.
We invite researchers, designers, and practitioners to:
We also invite contributions from fields like writing, music composition, video editing, and illustrating are welcome, reflecting on how AI-based tools are shaping creative processes across domains.
We will demonstate our AI tool that employs GPT-4 to translate descriptions of users into design artefacts. The tool embodies our concept of declarative design, where designers dictate goals and AI crafts the solutions, marking a shift from direct creation to a more editorial or directorial role of a designer.
The workshop took place on the 13th of October (Sunday), 2024.
To attend the workshop, submit a short position paper (no more than 4 pages, excluding references) in the ACM format. The paper should outline your background and a position statement that reflects the ideas, proposals, prototypes, or applications you would like to present and discuss during the workshop. Such contributions may include:
Accepted submissions will be published online on the workshop website.
Send your position paper to the email designing.with.ai.workshop@gmail.com
Submission deadline: 9th 19th 26th of September 2024 (acknowledging the CHI deadline).
Notification of acceptance: 30th of September.
Please register via the NordiCHI 2024 Website. Use workshop code for registration: WS15.
NB: Conference registration is not required.
Pavel Okopnyi is a postdoctoral fellow at the University of Bergen. His doctoral thesis was dedicated to the topic of collaboration in video editing. His research interests span various topics in HCI and CSCW, including human-AI interaction and collaborative work. He has an engineer’s degree and is a seasoned software developer.
Frode Guribye is a professor of Information Science focusing on HCI and the social implications of information and communication technologies. He has wide experience in research and innovation projects across areas such as mental health and journalism. He is doing research through design and empirical investigations, aiming to critically and constructively understand the potential and limitations of emerging technologies such as AI and conversational user interfaces.
Miroslav Bachinski is an associate professor in Information Science focusing on data-driven methods for HCI and interaction beyond the desktop. He has experience designing and developing diverse post-desktop interactive systems, as well as with their analysis and modelling.
Morten Fjeld is a professor of Human-Computer Interaction at the University of Bergen (Norway) and Chalmers University of Technology (Sweden). His research activities are situated in the field of Human-Computer Interaction with a focus on tangible and tabletop user computing.
Daniel Buschek is a professor of Mobile Intelligent User Interfaces at the University of Bayreuth, Germany. His group works at the intersection of Human-Computer Interaction and AI, exploring interaction with generative models for text and images to shape the future of working with AI tools in a human-centred way.
Tim Zindulka is a doctoral researcher in Human-AI Interaction at the University of Bayreuth, Germany. He’s part of Daniel Buschek’s group, exploring the intersection of HCI and AI, particularly novel document interactions, with a special interest in health topics. He also has prior research experience with VR and physiological data.
Florian Lehmann is a doctoral researcher in Human-AI Interaction at the University of Bayreuth, Germany. His research focuses on text editing with language models. He prototypes and studies interactive AI writing tools to explore fundamental concepts in human-AI interaction, such as control and initiative.
Paulina Becerril Palma is currently pursuing a Ph.D. in Human-Computer Interaction at the University of Bergen, Norway. She has experience in UX research and program management, having worked with companies like Amazon Web Services and Intel. Her work focuses on extended reality, user experience, and human-centred design.