Matt Bellingham

Matt Bellingham
University of Wolverhampton · School of Performing Arts

Doctor of Philosophy

About

7
Publications
3,555
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23
Citations
Introduction
Skills and Expertise

Publications

Publications (7)
Thesis
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This thesis focuses on the design of Choosers, a prototype algorithmic programming system centred around a new abstraction (of the same name) designed to allow non-programmers access to nondeterministic music composition methods. Algorithmic composition typically involves structural elements such as indeterminism, parallelism, choice, multi-choice...
Conference Paper
Full-text available
Algorithmic composition typically involves manipulating structural elements such as indeterminism, parallelism, choice, multi-choice, recursion, weighting, sequencing, timing, and looping. There exist powerful tools for these purposes, however, many musicians who are not expert programmers find such tools inaccessible and difficult to understand an...
Conference Paper
Full-text available
Algorithmic music composition involves specifying music in such a way that it is non-deterministic on playback, leading to music which has the potential to be different each time it is played. Current systems for algorithmic music composition typically require the user to have considerable programming skill and may require formal knowledge of music...
Conference Paper
Full-text available
We present an algorithmic composition system designed to be accessible to those with minimal programming skills and little musical training, while at the same time allowing the manipulation of detailed musical structures more rapidly and more fluidly than would normally be possible for such a user group. These requirements led us to devise non-stan...
Poster
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Algorithmic composition systems allow for the partial or total automation of music composition by formal, computational means. Typical algorithmic composition systems generate nondeterministic music, meaning that multiple musical outcomes can result from the same algorithm - consequently the output is generally different each time the algorithm run...
Conference Paper
Full-text available
This paper presents an analysis of the user interfaces of a range of algorithmic music composition software using the Cognitive Dimensions of Notations as the main analysis tool. Findings include the following: much of the reviewed software exhibits a low viscosity and requires significant user knowledge. The use of metaphor (staff notation, music...
Conference Paper
Full-text available
This paper presents an analysis, using Cognitive Dimensions (Blackwell & Green, 2003), of a representative selection of user interfaces for algorithmic composition software. Cognitive Dimensions are design principles for notations, user interfaces and programming language design, or from another viewpoint 'discussion tools' for designers (Green & B...

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