Creative Computers, Improvisation and Intimacy
Autonomous musical machine partners, live algorithms, are able to collaborate with human improvisers on an equal footing. Adaptability can be a significant factor in human/machine interaction in this context. Intimacy is an additional factor; intimacy might be achieved if human and machine performers can adapt to each other and learn from one another. Previously associated in computer music with ideas of embodiment and HCI, intimacy as more widely understood, refers to the interpersonal process enjoyed between individuals, in which personal self-disclosure finds validation through a partner's response. Real intimacies are learned over time, not designed, and are based upon an evident reciprocity and emergent mutuality. In the context of musical expression, a social rather than a biological/technological discourse can be applied to live algorithms with a capacity for learning. This possibility is explored with reference to the author's various improvisation/composition systems including au(or)a, piano_prosthesis, and oboe_prosthesis.
Item Type | Article |
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Keywords | Computational creativity, improvisation, intimacy, composition, live algorithm, neural network, computer music, adaptation |
Subjects |
Mathematical and Computer Sciences > Human-computer Interaction Mathematical and Computer Sciences > Computing Science not elsewhere classified Creative Arts and Design > Music |
Departments, Centres and Research Units |
Music Music > Unit for Sound Practice Research |
Date Deposited | 23 May 2011 10:02 |
Last Modified | 29 Apr 2020 15:30 |
Explore Further
- http://www.michaelyoung.info (Author)
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picture_as_pdf - Young-Dagstuhl.pdf
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subject - Published Version