Capturing the alignment between the movements of musicians and listeners with Dr. Alexander Demos

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The So Strangely Podcast

Finn Upham

15 episodes

9 months ago

Investigating the how and why of recent research in interdisciplinary Music Science by interviewing researchers from two angles: inside and outside of their area. Every episode, an expert shares their recommendation for a recent publication and we call up the PI to discuss how the research went and what the results mean for music and science. Note: This podcast is tailored for people into music and science, academics and students in the field rather than the general public.

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Capturing the alignment between the movements of musicians and listeners with Dr. Alexander Demos

The So Strangely Podcast

58 minutes 14 seconds

6 years ago

Capturing the alignment between the movements of musicians and listeners with Dr. Alexander Demos

Host Finn Upham recommends “How Music Moves Us: Entraining to Musicians’ Movements” by Alexander Demos and Roger Chaffin, published in Music Perception, 2017. They interview Dr Demos about this study and adjacent issues.
Note: This interview goes fairly deep into the challenges of time series data analysis. Feel free to use the time stamps listed in the show notes to skip ahead if this is not your cup of tea.
Time Stamps

* [0:00:10] Intro to article and Alex
* [0:03:20] Design of Air Conducting experiment
* [0:11:15] Capturing movements of performers and listeners
* [0:15:40] Assessing alignment between motion time series
* [0:25:26] Non-linearity in these time series
* [0:31:18] False negatives and intermittent alignment
* [0:38:32] Theories of Music and Ancillary motion
* [0:45:04] Closing Summary and Implications

Show notes

Recommended article:

Demos, A. P., & Chaffin, R. (2018). How Music Moves Us: Entraining to Musicians’ Movements. Music Perception: An Interdisciplinary Journal, 35(4), 405-424. (pdf)

Interviewee: Dr. Alexander Demos, Clinical assistant professor at the University of Illinois at Chicago (website)
Some publications cited in the discussion:

Schreiber, T., & Schmitz, A. (1996). Improved surrogate data for nonlinearity tests. Physical Review Letters, 77(4), 635–638.
Cook, N. (2013). Beyond the score: Music as performance. Oxford University Press.
Theiler, J., Eubank, S., Longtin, A., Galdrikian, B. & Farmer, J. D. (1992). Testing for nonlinearity in time series: The method of surrogate data. Physica D, 58, 77–94.
Dean, R. T., Bailes, F., & Dunsmuir, W. T. (2014). Time series analysis of real-time music perception: Approaches to the assessment of individual and expertise differences in perception of expressed affect. Journal of Mathematics and Music, 8(3), 183-205.
Wanderley, M. M., Vines, B. W., Middleton, N., Mckay, C., & Hatch, W. (2005). The musical significance of clarinetists’ ancillary gestures: An exploration of the field. Journal of New Music Research, 34(1), 97–113. DOI: 10.1080/092982105 00124208

Credits
The So Strangely Podcast is produced by Finn Upham, 2019. The closing music includes a sample of Diana Deutsch’s Speech-Song Illusion sound demo 1.