Skip to main content

The Neuroergonomics of Music Proficiency and Performance

  • Chapter
  • First Online:
Neuroergonomics

Part of the book series: Cognitive Science and Technology ((CSAT))

  • 828 Accesses

Abstract

This chapter addresses the nature of the interaction between musical behavior and underlying brain mechanisms. We address a series of relevant questions: (1) does neuroergonomics offer a legitimate scientific framework for understanding variability in musical behavior? (2) are there other scientific perspectives that complement or contradict the neuroergonomic perspective, in terms of understanding musical behavior? and (3) does musical behavior conform to the predictions of neuroergonomics and as such, represent an appropriate topic for this text? Our analysis supports the following conclusions: (1) regarding Questions 1 and 3, evidence for cognitive specialization, based on brain laterality, in the expression of musical behavior and talent, is aligned with the focus of neuroergonomics; but (2) nevertheless, based on studies of other modes of behavior, we also argue that there are a series of environmental design factors that also have the potential to influence variability in musical behavior, a phenomenon termed context specificity mediated by brain plasticity. Neuroergonomics, arguably, has not broadly embraced the idea that context specificity influences observed variability in behavior, including musical behavioral expression. Nevertheless, music also represents the only mode of artistic expression for which concrete empirical evidence exists for the neuroergonomic assumption that proficiency in musical talent must be understood in terms of cognitive specialization.

Without music, life would be a mistake.

Nietzsche.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Ansari, D., & Coch, D. (2006). Bridges over troubled waters: Education and cognitive neuroscience. Trends in Cognitive Sciences, 10(4), 146–151.

    Article  Google Scholar 

  • Benward, B., & Saker, M. (2015). Music in theory and practice (9th ed., Vol. I). New York: McGraw-Hill.

    Google Scholar 

  • Berlucchi, G., & Buchtel, H. A. (2009). Neuronal plasticity: Historical roots and evolution of meaning. Experimental Brain Research, 192(3), 307–319.

    Article  Google Scholar 

  • Bever, T. G., & Chiarello, R. J. (1974). Cerebral dominance in musicians and nonmusicians. Science, 185(4150), 537–539.

    Google Scholar 

  • Bilger, B. (2019). Extreme range. The vocal experiments of Roomful of Teeth. New Yorker (February 11), XCIV(48), 44–53.

    Google Scholar 

  • Bispham, J. (2006). ‘‘Music’’ means nothing if we don’t know what it means. Journal of Human Evolution, 50(2), 587–593.

    Article  Google Scholar 

  • Boyette, J. (2003). Instrument ergonomics: treatment and prevention of injury in the musician. In Proceedings of the Human Factors and Ergonomics Society 47th Annual Meeting (pp. 1582–1585). Santa Monica, CA: Human Factors and Ergonomics Society.

    Google Scholar 

  • Burholder, J. P., Grout, D. J., & Palisca, C. V. (Eds.). (1960). A history of western music (9th ed.). New York: Norton.

    Google Scholar 

  • Chesky, K., Devroop, K., & Ford, J., III. (2002). Medical problems of brass instrumentalists: prevalence rates for trumpet, trombone, French horn, and low brass. Medical Problems of Performing Artists, 17, 93–98.

    Google Scholar 

  • Daly, I., & Williams, D. (2019). Case studies of applications that use neural technology to measure emotions. In C. Nam (Ed.), Neuroergonomics: Principles and practice. New York: Springer.

    Google Scholar 

  • David, J. H. Jr. (1994). The two sides of music. Austin, TX: Austin Community College. Retrieved January 09, 2019 from http://jackhdavid.thehouseofdavid.com/papers/brain.html.

  • Duchenne, G. B. A. (1862). M ecanisme de la physionomie humaine: ou analyse electro-physiologique de/’expression des passions applicàbble a la pratique des arts plastiques. Paris: Libraire de Jules Renouard.

    Google Scholar 

  • The Economist. (2008). Why music? (Biologists are addressing one of humanity’s strangest attributes, its all-singing, all-dancing culture). The Economist (December 20), 41–44.

    Google Scholar 

  • The Economist. (2018a). The burden of history. The Economist (December 8), 79–80.

    Google Scholar 

  • The Economist. (2018b). Dona nobis pacem. The Economist (December 22), 39–40.

    Google Scholar 

  • The Economist. (2018c). Sweet and serious songs. The Economist (December 22), 95–98.

    Google Scholar 

  • Ellingson, T. (1987). Music: Music and religion. Encyclopedia of Religion. Farmington Hills, MI: Thomson Gale. Retrieved January 07, 2019 from Encyclopedia.com: www.encyclopedia.com/environment/encyclopedias-almanacs-transcripts-and-maps/music-music-and-religion.

  • Fischer, E. K., Ghalombor, C. K., & Hoke, K. L. (2016). Can a network approach resolve how adaptive vs nonadaptive plasticity impacts evolutionary trajectories. Integrative and Comparative Biology, 56(5), 877–888.

    Google Scholar 

  • Gladwell, M. (2008). Outliers. The story of success. New York: Little, Brown and Company.

    Google Scholar 

  • Goodall, H. (2015). The story of music from Babylon to the Beatles: How music has shaped civilization. Plano, TX: Pegasus Classics.

    Google Scholar 

  • Harmand, et al. (2015). 3.3-million-year-old stone tools from Lomekwi 3, West Turkana, Kenya. Nature, 521, 310–315.

    Article  Google Scholar 

  • Higham, T., Basell, L., Jacobi, R., Wood, R., Ramsey, C. B., & Conard, N. J. (2012). Τesting models for the beginnings of the Aurignacian and the advent of figurative art and music: the radiocarbon chronology of Geißenklösterle. Journal of Human Evolution, 62(6), 664–676.

    Article  Google Scholar 

  • Horvath, J. (2014). Playing healthy staying healthy. No pain, all gain: Strategies for healthy and happy musicians. American Music Teacher (October/November), 26–30.

    Google Scholar 

  • International Ergonomics Association. (2019). Retrieved January 11, 2019 from www.iea.cc/whats/index.html.

  • Jones, M. B. (1966). Individual differences. In E. A. Bilodeau (Ed.), Acquisition of skill (pp. 109–146). New York: Academic Press.

    Google Scholar 

  • Jones, M. B. (1969). Differential processes in acquisition. In E. A. Bilodeau & I. M. Bilodeau (Eds.), Principles of skill acquisition (pp. 141–170). New York: Academic Press.

    Google Scholar 

  • Limb, et al. (2006). Left hemispheric lateralization of brain activity during passive rhythm perception in musicians. The Anatomical Record Part A, 288A, 382–389.

    Article  Google Scholar 

  • Mandler, G. (2002). Origins of the cognitive (r)evolution. Journal of the History of the Behavioral Sciences, 38, 339–353.

    Article  Google Scholar 

  • Maor, E. (2018). Music by the numbers: From pythagoras to schoenberg. Princeton, NJ: Princeton University Press.

    Book  Google Scholar 

  • Merriam-Webster. (2019). Retrieved January 06, 2019 from www.merriam-webster.com/dictionary/music.

  • Mithen, S. (2005). The singing Neanderthals: The origins of music, language, mind and body. London: Weidenfeld and Nicolson.

    Google Scholar 

  • Moore, K. (2019). First abstract art. Natural History, 127(1), 7.

    Google Scholar 

  • Moray, N. (1994). “De maximis non curat lex”; or How context reduces science to art in the practice of human factors. In Proceedings of the Human Factors and Ergonomics Society 38th Annual Meeting (pp. 526–530). Santa Monica, CA: Human Factors and Ergonomics Society.

    Google Scholar 

  • Parasuraman, R. (2003). Neuroergonomics: Research and practice. Theoretical Issues in Ergonomics Science, 4, 5–20.

    Google Scholar 

  • Patel, A. D. (2008). Music, language, and the brain. Oxford, UK: Oxford University Press.

    Google Scholar 

  • Pinker, S. (1997). How the mind works. London: Allen Lane.

    Google Scholar 

  • Robinson, D. N. (1997). The great ideas of psychology. Chantilly, VA: The Teaching Company Great Courses.

    Google Scholar 

  • Rood, J., et al. (2017). Song around the animal kingdom. The Scientist, 31(3), 34.

    Google Scholar 

  • Schmidt, R. A., & Lee, T. D. (1999). Motor control and learning. A behavioral emphasis (3rd ed.). Champaign, IL: Human Kinetics.

    Google Scholar 

  • Slevc, L. R., & Okada, B. M. (2015). Processing structure in language and music: A case for shared reliance on cognitive control. Psychonomic Bulletin & Review, 22, 637–652.

    Article  Google Scholar 

  • Smith, K. U. (1962). Delayed sensory feedback and behavior. Philadelphia: Saunders.

    Google Scholar 

  • Smith, K. U. (1972). Cybernetic psychology. In R. N. Singer (Ed.), The psychomotor domain (pp. 285–348). New York: Lea and Febiger.

    Google Scholar 

  • Smith, K. U. (1974). Industrial social cybernetics. Madison, WI: University of Wisconsin Behavioral Cybernetics Laboratory.

    Google Scholar 

  • Smith, K. U. (1984). “Facedness” and its relation to musical talent. Journal of the Acoustical Society of America, 75(6), 1907–1908.

    Article  Google Scholar 

  • Smith, K. U., & Smith, M. F. (1966). Cybernetic principles of learning and educational design. New York: Holt, Rinehart and Winston.

    Google Scholar 

  • Smith, K. U., Smith, T. J., & Smith, W. M. (1991a). Computerized research on the human face (part I of 2 part article). Electric Quarterly, 13(1), 2–3.

    Google Scholar 

  • Smith, K. U., Smith, T. J., & Smith, W. M. (1991b). Computerized research on the human face (part II of 2 part article). Electric Quarterly, 13(2), 2–3.

    MathSciNet  Google Scholar 

  • Smith, T. J. (1999). Synergism of ergonomics, safety, and quality—A behavioral cybernetic analysis. International Journal of Occupational Safety and Ergonomics, 5(2), 247–278.

    Article  Google Scholar 

  • Smith, T. J. (2007). The ergonomics of learning: Educational design and learning performance. Ergonomics, 50(10), 1530–1546.

    Article  Google Scholar 

  • Smith, T. J. (2013). Designing learning environments to promote student learning–ergonomics in all but name. Work: A Journal of Prevention, Assessment & Rehabilitation, 44, S39–S60.

    Google Scholar 

  • Smith, T. J., Henning, R. H., & Smith, K. U. (1994). Sources of performance variability. In G. Salvendy & W. Karwowski (Eds.), Design of work and development of personnel in advanced manufacturing (Chapter 11, pp. 273–330). New York: Wiley.

    Google Scholar 

  • Smith, T. J., & Smith, K. U. (1987). Feedback-control mechanisms of human behavior. In G. Salvendy (Ed.), Handbook of human factors (Chapter 2.9, pp. 251–293). New York: Wiley.

    Google Scholar 

  • Smith, T. J., Wade, M. G., Henning, R., & Fisher, T. (2015). Variability in human performance. Boca Raton, FL: CRC Press.

    Google Scholar 

  • Sparr, S. A. (2002). Receptive amelodia in a trained musician. Neurology, 59(10), 1659–1660.

    Article  Google Scholar 

  • Somers, J. (2018). Binary stars. The New Yorker, XCIV(40), 28–35 (December 10).

    Google Scholar 

  • Wilford, J. N. (2012). Flute’s revised age dates the sound of music earlier. New York Times, D4 (May 29).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thomas J. Smith .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Smith, T.J., McNiven, J. (2020). The Neuroergonomics of Music Proficiency and Performance. In: Nam, C. (eds) Neuroergonomics. Cognitive Science and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-34784-0_14

Download citation

Publish with us

Policies and ethics