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An interaction model for human–machine creative collaboration
Exploring how interactive systems can enhance creative productivity
How can we enhance creative work through interacting with artificial intelligence (AI)? It’s a crucial question for our times and addresses an opportunity that is largely unexplored as things stand right now.
Amidst black-and-white fears that AI will take over all creative jobs – or indeed excitement that it will solve all our problems – the question of human-AI collaboration provides much needed clarity in the debate around one of the most controversial and pertinent topics of the present moment.
At the core of this project is an aim to show that interactive systems can enhance creative productivity. More specifically, the aim is to demonstrate how this can happen through the development and evaluation of a model for the ways in which humans and AI might interact while creating.
The expected outcome of this work is to generate new strategies for effective, intelligent, and domain-general creativity support. These new strategies will nevertheless be validated in the domains of drawing and music composition by rigorous human-centred prototyping techniques. In working towards a model of creative work through interaction with AI, the benefits will include an increase in the rate of creative outputs – both within creative industries as well throughout the economy as a whole.
Project team
- Kazjon Grace - Senior Lecturer in Computational Design, DECRA Fellow
- Francisco Ibarrola - Researcher in Co-Creative Artificial Intelligence
- Marius Hoggenmueller – Lecturer in Interaction Design
- Sam Gillespie – Associate Lecturer
- Liam Bray – Adjunct Senior Lecturer
- Dan Ventura – Professor in Computer Science, Brigham Young University
- Ollie Bown – Associate Professor, University of New South Wales
- Marcus Carter – Associate Professor in Digital Cultures, Faculty of Arts and Social Sciences
- Alex Elton-Pym – PhD Candidate
- Shuyao Dai – PhD Candidate
- Geoffrey Lazarus – PhD Candidate