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Dr Steven R. Livingstone | |
| Postdoctoral Fellow Steven.Livingstone@mcgill.ca Sequence Production Lab Department of Psychology McGill University 1205 Dr Penfield Avenue Montreal, Quebec H3A 1B1, Canada Curriculum Vitae |
Publications
Book Chapters
- Livingstone, S. R., & Thompson, W. F. (2009). L'apparition de la musique de la théorie d'esprit. In Marc Richelle & Xavier Seron (Eds.). Musique et Evolution. Belgium: Pierre MARDAGA Press. In press.
Journal Papers
- Livingstone, S. R., Muhlberger, R., Brown, A. R., & Thompson, W.F. (in press). Changing Musical Emotion through Score and Performance with a Computational Rule System. Computer Music Journal.
- Livingstone, S.R., Thompson, W.F., & Russo, F. A. (2009). Facial expressions and emotional singing: A study of perception and production with motion capture and electromyography. Music Perception, 26, 475-488. Download PDF.
- Livingstone, S. R. & Thompson, W. F. (2009). The emergence of music from the Theory of Mind. Musicae Scientiae, Special Issue 2009/10 "Music and Evolution", 83-115. Download PDF.
- Livingstone, S. R., Muhlberger, R., Brown, A. R., & Loch, A. (2007). Controlling Musical Emotionality: An Affective Computational Architecture for Influencing Musical Emotion. Digital Creativity, 18. Download PDF (postprint).
- Livingstone, S. R. & Thompson, W. F. (2006). Multi-modal affective interaction: A comment on musical origins. Music Perception, 24, 89-94. Download PDF.
Conference Papers
- Livingstone, S. R., Schubert, E., Loehr, J. D., Palmer, C. (2009). Emotional arousal and the automatic detection of musical phrase boundaries. Second International Symposium on Performance Science
- Livingstone, S. R., Brown, A. R., Muhlberger, R. (2005). Influencing the Perceived Emotions of Music with Intent. Third International Conference on Generative Systems. Download PDF.
- Livingstone, S. R. & Brown, A. R. (2005). Dynamic Response: Real-Time Adaptation for Music Emotion. Australasian Conference on Interactive Entertainment. Download PDF.
- Livingstone, S. R., Muhlberger, R., Brown, A. R. (2005). Playing with Affect: Music Performance with Awareness of Score and Audience. Australasian Computer Music Conference. Download PDF.
- Henricksen, K. Livingstone, S. R., Indulska, J. (2004). Towards a hybrid approach to context modelling, reasoning and interoperation. Ubicomp’2004, First International Workshop on Advanced Context Modelling, Reasoning And Management. Download PDF.
Workshop Papers
- Livingstone, S. R., Muhlberger, R., Brown, A. R. (2006). Influencing Perceived Musical Emotions: The Importance of Performative and Structural Aspects in a Rule System. Music as Human Communication: An HCSNet Workshop on the Science of Music Perception, Performance and Cognition. Download PDF.
- Livingstone, S. R., Muhlberger, R., Brown, A. R. (2006). Music, Speech and a Theory of Mind: Investigations with a Computational Model of Musical Emotions. HCSNet Workshop on Human and Machine Speech. Download PDF.
- Livingstone, S. R., Muhlberger, R., Brown, A. R. (2006). The Music-Emotion Lifecycle. HCSNet Workshop on Perception and Action.
Other
- Livingstone, S. R. (2003). Service Discovery in Pervasive Systems. Unpublished honours thesis, winner of the DSTC industry prize. Download PDF.
Scholarships and Awards
- NSERC-Create Auditory Cognitive Neuroscience: Postdoctoral Scholarship, 2009.
- ITEE Research Scholarship, The University of Queensland, 2004-2007.
- DSTC Industry Award, Outstanding Honours Thesis.
- Dean’s Commendation (x4), The University of Queensland.
Grants and Experience
- Minor Equipments Grant (Author), Thompson W. F. (PI), Department of Psychology, Macquarie University, $5300, 2008.
- ARC Discovery (Editor) “Vocal Emotional Communication”. Thompson W. F. (CI), Palmer, C. (PI). $379, 216, 2008.
- Graduate School Research Travel Grant, Steven R. Livingstone (PI), The University of Queensland, $3500, 2006.
PhD Thesis - Changing Musical Emotion through Score and Performance with a Computational Rule System
In my dissertation I present CMERS - a Computational Music Emotion Rule System for the control of perceived musical emotions - that modifies a musical work at the levels of score and performance in real-time. I researched, designed, programmed, and tested CMERS, which handles all modifications to the musical work. CMERS achieves a change in perceived musical emotion through the application of music-emotion rules; these rules quantify the empirically observed relations between musical features and specific emotions (for example, major mode ≈ happy, minor mode ≈ sad). Employing a 2-dimensional representation of emotion (seen below), CMERS was shown in testing to be successful in changing the perceived emotion of all selected music works to each of the four emotion space quadrants, referred to loosely as happy, angry, sad, and tender, with a mean accuracy of 78% and a multinomial logistic regression analysis of Χ2(9) = 11183.0, p < 0.0005 (N = 20).A Computational Music-Emotion Rule System operating at the levels of score and performance, with automated expressive performance features, provides researchers with a powerful tool for exploring emotional relationships within music. CMERS ability to isolate individual structural, performance, and expressive performance elements, provides researchers with a precise and extensible platform from which to examine the contributions and conflating behaviour of specific features to musical emotion. CMERS real-time emotion modification capability, automated expressive performance, and simple emotion message format, allows for its use as a computer gaming music-emotion engine, in addition to a multitude of other real-time application environments.
Research Interests
- Music cognition
- Music and emotion
- Music performance and motion capture
- Amusia and speech prosody
- Origins of Music
Previous Tutoring Duties
- Semester 1, 2004
- COMP1500 - Introduction to Programming/Software Engineering
- Semester 2, 2004
- COMS3200 - Computer Networks I (Ipswich)
Education
- Doctor of Philosophy, Computer Science, The University of Queensland. Thesis: Changing musical emotions through score and performance with a computational rule system, 2008.
Advisors: Ralf Muhlberger, Andrew R. Brown. - Bachelor of Information Technology, Honours (I), 2001-2003
- Bachelor of Science, Physics, 1998-2000