Mr Duncan Williams D.A.H.Williams@salford.ac.uk
Senior Lecturer
Evaluating BCI for musical expression : historical approaches, challenges and benefits
Williams, DAH
Authors
Contributors
A Nijholt
Editor
Abstract
A recurring challenge in the use of BCI (and more generally HCI) for musical expression is in the design and conduct of appropriate evaluation strategies when considering BCI systems for music composition or performance. Assessing the value of computationally assisted creativity is challenging in most artistic domains, and the assessment of computer assisted (or entirely computer generated) music is no different. BCI provides two unique possibilities over traditional evaluation strategies: firstly, the possibility of devising evaluations which do not require conscious input from the listener (and therefore do not detract from the immersive experience of performing, creating, or listening to music), and secondly in devising neurofeedback loops to actively maneuver the creator or listener through an expressive musical experience. Music offers some unusual challenges in comparison to other artistic interfaces: for example, often it is made in ensemble, and there is evidence to suggest neurophysiological differences are evident in ensemble measurement when compared to solo performance activities, for example see (Babiloni et al. in cortex 47:1082–1090, 2011). Moreover, a central purpose of music is often to incite movement (swaying, nodding head, dancing)—both in performer and audience—and as such this also offers up challenges for BCI/HCI design. This chapter considers historical approaches as well as making proposals for borrowing solutions from the world of auditory display (also referred to as sonification) and psychoacoustic evaluation techniques, to propose a hybrid paradigm for the evaluation of expression in BCI music applications.
Citation
Williams, D. (2019). Evaluating BCI for musical expression : historical approaches, challenges and benefits. In A. Nijholt (Ed.), Brain Art (145-158). Springer. https://doi.org/10.1007/978-3-030-14323-7_5
Online Publication Date | May 26, 2019 |
---|---|
Publication Date | Jun 4, 2019 |
Deposit Date | Dec 12, 2019 |
Publicly Available Date | May 26, 2021 |
Publisher | Springer |
Pages | 145-158 |
Book Title | Brain Art |
ISBN | 9783030143220-(print);-9783030143237-(online) |
DOI | https://doi.org/10.1007/978-3-030-14323-7_5 |
Publisher URL | https://doi.org/10.1007/978-3-030-14323-7_5 |
Related Public URLs | https://link.springer.com/book/10.1007/978-3-030-14323-7#about |
Files
BCI Arts - evaluating music experience DW rev.pdf
(210 Kb)
PDF
You might also like
Timbral Metrics for Analysis of Metal Production: Then, Now and What Next?
(2023)
Book Chapter
Sonic enhancement of virtual exhibits
(2022)
Journal Article
What our bodies tell us about noise
(2022)
Journal Article
Psychophysiological approaches to sound and music in games
(2021)
Book Chapter
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search