Bellingham, Matt; Holland, Simon and Mulholland, Paul
(2014).
|
PDF (Accepted Manuscript)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (746kB) | Preview |
| URL: | http://users.sussex.ac.uk/~bend/ppig2014/PPIGproce... |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
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 production hardware) introduces multiple levels of abstraction which the user has to understand in order to use effectively: some instances of close mapping reduce abstraction but require the user to do more work. Significant premature commitment is not conducive to music composition, and there are clear opportunities for the greater provisionality that a piece of structurally-aware music software could provide. Visibility and juxtaposability are frequently compromised by complex design. Patching software reduces the hard mental operations required of the user by making the signal flow clear, although graphical complexity can have a negative impact on role-expressiveness. Complexity leads to error-proneness in several instances, although there are some tools (such as error-checking and auto-completion) which seek to ameliorate the main problems
| Item Type: | Conference or Workshop Item | ||||||
|---|---|---|---|---|---|---|---|
| Copyright Holders: | 2014 The Authors | ||||||
| Project Funding Details: |
|
||||||
| Keywords: | POP-I.C. end-user applications, POP-II.B. design, POP-III.C. Cognitive Dimensions, user interfaces, theories of design, exploratory | ||||||
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) |
||||||
| Research Group: | Centre for Research in Computing (CRC) | ||||||
| Related URLs: | |||||||
| Item ID: | 43247 | ||||||
| Depositing User: | Simon Holland | ||||||
| Date Deposited: | 29 May 2015 08:16 | ||||||
| Last Modified: | 13 Sep 2018 13:14 | ||||||
| URI: | http://oro.open.ac.uk/id/eprint/43247 | ||||||
| Share this page: |     |
Download history for this item
These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)