Audio files to support 'Toward meaningful algorithmic music-making for non-programmers', a paper presented at PPIG 2019
Matthew Bellingham
Simon Holland
Paul Mulholland
10.21954/ou.rd.11359607.v1
https://ordo.open.ac.uk/articles/media/Audio_files_to_support_Toward_meaningful_algorithmic_music-making_for_non-programmers_a_paper_presented_at_PPIG_2019/11359607
Audio files to support 'Toward meaningful algorithmic music-making for non-programmers', a paper presented at PPIG 2019.<div><br></div><div><div>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 and use. By analysing a representative selection of user interfaces for algorithmic composition, through the use of the Cognitive Dimensions of Notations (CDN) and other analytical tools, we identified candidate design principles, and applied these principles to create and implement a new visual formalism, programming abstraction and execution model. The resulting visual programming language, Choosers, is designed to allow ready visualisation and manipulation of structural elements of the kind involved in algorithmic music composition, while making minimal demand on programming ability. Programming walkthroughs with novice users were used iteratively to refine and validate diverse aspects of the design. Currently, workshops with musical experts and teachers are being conducted to explore the value of the language for varied pragmatic purposes by expressing, manipulating and reflecting on diverse musical examples.</div></div>
2019-12-13 09:01:04
music
composition
algorithmic composition
graphical programming
music programming languages
interaction design
user interface
Music Composition
Educational Technology and Computing
Computer-Human Interaction