Collaborative human and machine creative interaction driven through affective response in live coding systems
| Main Authors: | Wilson, Elizabeth, Fazekas, György, Wiggins, Geraint |
|---|---|
| Format: | Proceeding |
| Bahasa: | eng |
| Terbitan: |
, 2020
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/3932879 |
Daftar Isi:
- Co-creation strategies for human-machine collaboration have been explored in various creative disciplines. Recent developments in music technology and artificial intelligence have made these creative interactions applicable to the domain of computer music, meaning it is now possible to interface with algorithms as creative partners. The application of computational creativity research is beginning to be incorporated within the practice of live algorithmic music known as live coding. As music is inherently coupled with affective response (often defined as the general psychological state of an individual, including but not limited to emotions and mood), it is crucial for any artificial musical intelligence system to consider how to incorporate emotional meaning into collaborative musical actions. This work looks at bestowing live coding systems with the ability to autonomously create emotionally intelligent musical collaborations and examine new ways of interfacing with musical algorithms.