Journal article
Design Considerations for Real-Time Collaboration with Creative Artificial Intelligence
Organised Sound, Vol.25(1), pp.41-52
2020
Abstract
Machines incorporating techniques from artificial intelligence and machine learning can work with human users on a moment-to-moment, real-time basis to generate creative outcomes, performances and artefacts. We define such systems collaborative, creative AI systems, and in this article, consider the theoretical and practical considerations needed for their design so as to support improvisation, performance and co-creation through real-time, sustained, moment-to-moment interaction. We begin by providing an overview of creative AI systems, examining strengths, opportunities and criticisms in order to draw out the key considerations when designing AI for human creative collaboration. We argue that the artistic goals and creative process should be first and foremost in any design. We then draw from a range of research that looks at human collaboration and teamwork, to examine features that support trust, cooperation, shared awareness and a shared information space. We highlight the importance of understanding the scope and perception of two-way communication between human and machine agents in order to support reflection on conflict, error, evaluation and flow. We conclude with a summary of the range of design challenges for building such systems in provoking, challenging and enhancing human creative activity through their creative agency.
Details
- Title
- Design Considerations for Real-Time Collaboration with Creative Artificial Intelligence
- Authors
- Jon McCormack (Corresponding Author) - Goldsmiths University of LondonPatrick E Hutchings (Author) - Monash UniversityToby Gifford (Author) - Monash UniversityMatthew Yee-King (Author) - Goldsmiths University of LondonMaria Teresa Llano (Author) - Goldsmiths University of LondonMark D'inverno (Author) - Goldsmiths University of London
- Publication details
- Organised Sound, Vol.25(1), pp.41-52
- Publisher
- Cambridge University Press
- DOI
- 10.1017/S1355771819000451
- ISSN
- 1469-8153
- Organisation Unit
- School of Business and Creative Industries
- Language
- English
- Record Identifier
- 99713397902621
- Output Type
- Journal article
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- Web Of Science research areas
- Music
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