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A cognitive dimensions approach for the design of an interactive generative score editor

Hunt, Samuel; Mitchell, Tom; Nash, Chris

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Authors

Profile image of Samuel Hunt

Samuel Hunt Samuel.Hunt@uwe.ac.uk
Lecturer - Graduate Tutor

Tom Mitchell Tom.Mitchell@uwe.ac.uk
Professor of Audio and Music Interaction

Chris Nash Chris.Nash@uwe.ac.uk
Senior Lecturer in Music Tech - Software Development



Abstract

This paper describes how the Cognitive Dimensions of Notation can guide the design of algorithmic composition tools. Prior research has also used the cognitive dimensions for analysing interaction design for algorithmic composition software. This work aims to address the shortcomings of existing algorithmic composition software, by utilising the more commonly used score notation interfaces, rather than patch based or code based environments. The paper sets out design requirements in each dimension and presents these in the context of a software prototype. These principles are also applicable for general music composition systems.

Presentation Conference Type Conference Paper (unpublished)
Conference Name Fourth International Conference on Technologies for Music Notation and Representation
Start Date May 24, 2018
End Date May 26, 2018
Acceptance Date May 16, 2018
Publication Date May 26, 2018
Deposit Date May 16, 2018
Publicly Available Date May 16, 2018
Peer Reviewed Peer Reviewed
Public URL https://uwe-repository.worktribe.com/output/867740
Publisher URL http://matralab.hexagram.ca/tenor2018/
Additional Information Title of Conference or Conference Proceedings : Fourth International Conference on Technologies for Music Notation and Representation
Contract Date May 16, 2018

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