research-article

A toolkit for designing interactive musical agents

Authors:

Aengus Martin,

Craig T. Jin,

Oliver BownAuthors Info & Claims

OzCHI '11: Proceedings of the 23rd Australian Computer-Human Interaction Conference

Pages 194 - 197

https://doi.org/10.1145/2071536.2071567

Published: 28 November 2011 Publication History

Get Access

Abstract

We have developed a prototype software toolkit to enable non-technical users to design artificially intelligent agents to perform electronic music in collaboration with a human musician. In this paper we describe the toolkit and present a preliminary investigation of its use. We then discuss how the investigation has helped identify issues to address in an upcoming user-centred design study, which will take place in Spring 2011.

References

[1]

Apt, K. R. Principles of Constraint Programming. Cambridge University Press (2003).

Digital Library

Google Scholar

[2]

Blackwell, T., Bown, O. and Young, M. Live Algorithms. In McCormack, J. and D'Inverno, M. (Eds) Computational Creativity. Springer, Berlin (in press).

Google Scholar

[3]

Fails, J. A. and Olsen, Jr., D. R. Interactive machine learning. In Proc. International Conference on Intelligent User Interfaces (2003), 39--45.

Digital Library

Google Scholar

[4]

Fiebrink, R., Cook, P. R. and Trueman, D. Human Model Evaluation in Interactive Supervised Learning. In Proc. CHI 2011, ACM Press (2011), 147--156.

Digital Library

Google Scholar

[5]

Hastie, T., Tibshirani, R. and Friedman, J. The Elements of Statistical Learning. Springer (2009).

Google Scholar

[6]

Herbard, E., Hnich, B., O'Sullivan, B. and Walsh, T. Finding diverse and similar solutions in constraint programming. In Proc. AAAI (2005), 372--377.

Digital Library

Google Scholar

[7]

Lewis, G. Too many notes: Computers, complexity and culture in voyager. Leonardo Music J. 10 (2000), 33--39.

Crossref

Google Scholar

[8]

Martin, A., McEwan, A., Jin, C. T., and Martens, W. L. A similarity algorithm for interactive style imitation. In Proc. ICMC (2011), 571--574.

Google Scholar

[9]

Pachet, F. The continuator: Musical interaction with style. J. New Music Res. 32, 3 (2003), 333--341.

Crossref

Google Scholar

[10]

Pressing, J. Improvisation: methods and models. In Sloboda, J. A. (Ed), Generative Processes in Music: The Psychology of Performance, Improvisation and Composition. Oxford University Press, (1988).

Google Scholar

[11]

Ron, D., Singer, S. and Tishby, N. The power of amnesia: Learning probabilistic automata with variable memory length. Mach. Learn. 25 (1996), 113--149.

Digital Library

Google Scholar

[12]

Toiviainen, P. An Interactive MIDI accompanist. Comput. Music J. 22, 4 (1998), 63--75.

Crossref

Google Scholar

[13]

Vredenberg, K., Mao, J.-Y., Smith, P. W. and Carey, T. A survey of user centred design practice. In Proc. CHI 2002, ACM Press (2002), 471--478.

Digital Library

Google Scholar

Cited By

View all

Tchemeube REns JPlut CPasquier PSafi MGrabit YRolland JElkind E(2023)Evaluating human-AI interaction via usability, user experience and acceptance measures for MMM-CProceedings of the Thirty-Second International Joint Conference on Artificial Intelligence10.24963/ijcai.2023/640(5769-5778)Online publication date: 19-Aug-2023
https://dl.acm.org/doi/10.24963/ijcai.2023/640
Bown OBrown A(2018)Interaction Design for Metacreative SystemsNew Directions in Third Wave Human-Computer Interaction: Volume 1 - Technologies10.1007/978-3-319-73356-2_5(67-87)Online publication date: 3-Jul-2018
https://doi.org/10.1007/978-3-319-73356-2_5
Pasquier PEigenfeldt ABown ODubnov S(2017)An Introduction to Musical MetacreationComputers in Entertainment (CIE)10.1145/293067214:2(1-14)Online publication date: 10-Jan-2017
https://dl.acm.org/doi/10.1145/2930672
Show More Cited By

Index Terms

A toolkit for designing interactive musical agents
1. Applied computing
  1. Arts and humanities
    1. Sound and music computing

Recommendations

PopMash: an automatic musical-mashup system using computation of musical and lyrical agreement for transitions
Abstract
Musical-mashup is a popular form of music re-creation, aiming at combining multiple pieces of music to create new music artworks. Presently, it is also a challenge in the field of music information study. In this work, an effective framework for ...
Functional modelling of musical harmony: an experience report
ICFP '11

Music theory has been essential in composing and performing music for centuries. Within Western tonal music, from the early Baroque on to modern-day jazz and pop music, the function of chords within a chord sequence can be explained by harmony theory. ...
Design and implementation of two-level synchronization for interactive music robot
AAAI'10: Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence

Our goal is to develop an interactive music robot, i.e., a robot that presents a musical expression together with humans. A music interaction requires two important functions: synchronization with the music and musical expression, such as singing and ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

OzCHI '11: Proceedings of the 23rd Australian Computer-Human Interaction Conference

November 2011

363 pages

ISBN:9781450310901

DOI:10.1145/2071536

Conference Chair:
Duncan Stevenson
Australian National University

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 November 2011

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

OzCHI '11

Sponsor:

Human Factors & Ergonomics Soc

OzCHI '11: The Annual Meeting of the Australian Special Interest Group for Computer Human Interaction

November 28 - December 2, 2011

Canberra, Australia

Acceptance Rates

Overall Acceptance Rate 362 of 729 submissions, 50%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
193
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 01 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Tchemeube REns JPlut CPasquier PSafi MGrabit YRolland JElkind E(2023)Evaluating human-AI interaction via usability, user experience and acceptance measures for MMM-CProceedings of the Thirty-Second International Joint Conference on Artificial Intelligence10.24963/ijcai.2023/640(5769-5778)Online publication date: 19-Aug-2023
https://dl.acm.org/doi/10.24963/ijcai.2023/640
Bown OBrown A(2018)Interaction Design for Metacreative SystemsNew Directions in Third Wave Human-Computer Interaction: Volume 1 - Technologies10.1007/978-3-319-73356-2_5(67-87)Online publication date: 3-Jul-2018
https://doi.org/10.1007/978-3-319-73356-2_5
Pasquier PEigenfeldt ABown ODubnov S(2017)An Introduction to Musical MetacreationComputers in Entertainment (CIE)10.1145/293067214:2(1-14)Online publication date: 10-Jan-2017
https://dl.acm.org/doi/10.1145/2930672
Navarro-Cáceres MBajo JCorchado J(2017)Applying social computing to generate sound cloudsEngineering Applications of Artificial Intelligence10.1016/j.engappai.2016.10.01957:C(171-183)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1016/j.engappai.2016.10.019
Martin CGardner HSwift BMartin MKaye JDruin ALampe CMorris DHourcade J(2016)Intelligent Agents and Networked Buttons Improve Free-Improvised Ensemble Music-Making on Touch-ScreensProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858269(2295-2306)Online publication date: 7-May-2016
https://dl.acm.org/doi/10.1145/2858036.2858269
Navarro MCorchado JDemazeau Y(2016)MUSIC-MASExpert Systems with Applications: An International Journal10.1016/j.eswa.2016.01.05857:C(345-355)Online publication date: 15-Sep-2016
https://dl.acm.org/doi/10.1016/j.eswa.2016.01.058
Martin CGardner HSwift BBerdahl EAllison J(2015)Tracking Ensemble Performance on Touch-Screens with Gesture Classification and Transition MatricesProceedings of the international conference on New Interfaces for Musical Expression10.5555/2993778.2993870(359-364)Online publication date: 30-May-2015
https://dl.acm.org/doi/10.5555/2993778.2993870
Bown OMartin ANagai YFerguson SHewett T(2013)BackgammonProceedings of the 9th ACM Conference on Creativity & Cognition10.1145/2466627.2481236(390-391)Online publication date: 17-Jun-2013
https://dl.acm.org/doi/10.1145/2466627.2481236
Martin ABown ONagai YFerguson SHewett T(2013)The agent designer toolkitProceedings of the 9th ACM Conference on Creativity & Cognition10.1145/2466627.2481211(386-387)Online publication date: 17-Jun-2013
https://dl.acm.org/doi/10.1145/2466627.2481211

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

PopMash: an automatic musical-mashup system using computation of musical and lyrical agreement for transitions

Functional modelling of musical harmony: an experience report

Design and implementation of two-level synchronization for interactive music robot