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Sports Engineering

, Volume 18, Issue 1, pp 29–41 | Cite as

Exploration and evaluation of a system for interactive sonification of elite rowing

  • Gaël DubusEmail author
  • Roberto Bresin
Original Article

Abstract

In recent years, many solutions based on interactive sonification have been introduced for enhancing sport training. Few of them have been assessed in terms of efficiency or design. In a previous study, we performed a quantitative evaluation of four models for the sonification of elite rowing in a non-interactive context. For the present article, we conducted on-water experiments to investigate the effects of some of these models on two kinematic quantities: stroke rate value and fluctuations in boat velocity. To this end, elite rowers interacted with discrete and continuous auditory displays in two experiments. A method for computing an average rowing cycle is introduced, together with a measure of velocity fluctuations. Participants answered to questionnaires and interviews to assess the degree of acceptance of the different models and to reveal common trends and individual preferences. No significant effect of sonification could be determined in either of the two experiments. The measure of velocity fluctuations was found to depend linearly on stroke rate. Participants provided feedback about their aesthetic preferences and functional needs during interviews, allowing us to improve the models for future experiments to be conducted over longer periods.

Keywords

Sonification Rowing Interactive Evaluation  Auditory display Sport Sonic interaction 

Notes

Acknowledgments

This work was supported by the Swedish Research Council (Grant Nr. 2010-4654), by the Olympic Performance Center (OPC) SONEA project, and partly by the EU-ICT SAME project (FP7-ICT-STREP-215749, http://sameproject.eu). The research conducted in the study documented in this paper has been approved by the Ethical Review Board for the Stockholm region in Sweden, reference number 2009/1520-31/5. The authors would like to thank the rowers and trainers of the Swedish national team who took part in the experiments.

References

  1. 1.
    Barra M, Cillo T, De Santis A, Petrillo UF, Negro A, Scarano V (2002) Multimodal monitoring of web servers. IEEE Multimed 9(3):32–41CrossRefGoogle Scholar
  2. 2.
    Bolíbar J, Bresin R (2012) Sound feedback for the optimization of performance in running. In: Proceedings of sound and music computing Sweden. Stockholm, Sweden, pp 39–41Google Scholar
  3. 3.
    de Brouwer AJ, de Poel HJ, Hofmijster MJ (2013) Don’t rock the boat: how antiphase crew coordination affects rowing. PLoS One 8(1):e54996CrossRefGoogle Scholar
  4. 4.
    Dubus G (2012) Evaluation of four models for the sonification of elite rowing. J Multimodal User Interfaces 5(3–4):143–156CrossRefGoogle Scholar
  5. 5.
    Dubus G, Bresin R (2013) A systematic review of mapping strategies for the sonification of physical quantities. PLoS One 8(12):e82491CrossRefGoogle Scholar
  6. 6.
    Effenberg AO (2005) Movement sonification: effects on perception and action. IEEE Multimed 12(2):53–59CrossRefGoogle Scholar
  7. 7.
    Fritz TH, Hardikar S, Demoucron M, Niessen M, Demey M, Giot O, Li Y, Haynes JD, Villringer A, Leman M (2013) Musical agency reduces perceived exertion during strenuous physical performance. Proc Natl Acad Sci 110(44):17784–17789CrossRefGoogle Scholar
  8. 8.
    Gaver WW (1993) What in the world do we hear? An ecological approach to auditory source perception. Ecol Psychol 5(1):1–29CrossRefMathSciNetGoogle Scholar
  9. 9.
    Godbout A, Boyd JE (2010) Corrective sonic feedback for speed skating: a case study. In: Proceedings of the 16th international conference on auditory display (ICAD 2010), Washington, DC, USA, pp 23–30Google Scholar
  10. 10.
    Hadjakos A, Aitenbichler E, Mühlhäuser M (2008) The Elbow Piano: sonification of piano playing movements. In: Proceedings of the 8th international conference on new interfaces for musical expression (NIME 08), Genoa, Italy, pp 285–288Google Scholar
  11. 11.
    Hermann T, Höner O, Ritter HJ (2006) AcouMotion: an interactive sonification system for acoustic motion control. In: Gibet S, Courty N, Kamp JF (eds) Gesture in human-computer interaction and simulation, Lecture notes in computer science, vol 3881. Springer, Berlin, pp 312–323CrossRefGoogle Scholar
  12. 12.
    Hermann T, Hunt A, Neuhoff JG (eds) (2011) The sonification handbook. Logos Publishing House, BerlinGoogle Scholar
  13. 13.
    Hermann T, Ungerechts B, Toussaint H, Grote M (2012) Sonification of pressure changes in swimming for analysis and optimization. In: Proceedings of the 18th international conference on auditory display (ICAD 2012), Atlanta, GA, USA, pp 60–67Google Scholar
  14. 14.
    Hill H, Fahrig S (2009) The impact of fluctuations in boat velocity during the rowing cycle on race time. Scand J Med Sci Sports 19(4):585–594CrossRefGoogle Scholar
  15. 15.
    Hofmijster MJ (2010) Mechanics and energetics of rowing. PhD thesis, Vrije Universiteit, Amsterdam, The NetherlandsGoogle Scholar
  16. 16.
    Hofmijster MJ, Landman EHJ, Smith RM, van Soest AJK (2007) Effect of stroke rate on the distribution of net mechanical power in rowing. J Sports Sci 25(4):403–411CrossRefGoogle Scholar
  17. 17.
    Hofmijster MJ, van Soest AJK, de Koning JJ (2008) Rowing skill affects power loss on a modified rowing ergometer. Med Sci Sports Exerc 40(6):1101–1110CrossRefGoogle Scholar
  18. 18.
    Hunt A, Hermann T, Pauletto S (2004) Interacting with sonification systems: closing the loop. In: Proceedings of the 8th international conference on information visualisation (IV’04), London, UK, pp 879–884Google Scholar
  19. 19.
    Kleshnev V (1998) Estimation of biomechanical parameters and propulsive efficiency of rowing, unpublished, Australian Institute of SportGoogle Scholar
  20. 20.
    Kleshnev V (2005) Rowing faster. chap 18: Technology for technique improvement, Human Kinetics Inc, pp 209–225Google Scholar
  21. 21.
    Murgia M, Sors F, Vono R, Muroni AF, Delitala L, Di Corrado D, Agostini T (2012) Using auditory stimulation to enhance athletes’ strength: an experimental study in weightlifting. Rev Psychol 19(1):13–16Google Scholar
  22. 22.
    Ng K, Weyde T, Larkin O, Neubarth K, Koerselman T, Ong B (2007) 3D augmented mirror: a multimodal interface for string instrument learning and teaching with gesture support. In: Proceedings of the 9th international conference on multimodal interfaces (ICMI ’07), Nagoya, Japan, pp 339–345Google Scholar
  23. 23.
    Repp BH, Penel A (2004) Rhythmic movement is attracted more strongly to auditory than to visual rhythms. Psychol Res 68(4):252–270CrossRefGoogle Scholar
  24. 24.
    Schaffert N, Mattes K, Effenberg AO (2009) A sound design for the purposes of movement optimisation in elite sport (using the example of rowing). In: Proceedings of the 15th international conference on auditory display (ICAD 2009), Copenhagen, Denmark, pp 72–75Google Scholar
  25. 25.
    Schaffert N, Gehret R, Mattes K (2012) Modeling the rowing stroke cycle acoustically. J Audio Eng Soc 60(7–8):551–560Google Scholar
  26. 26.
    Soper C, Hume PA (2004) Towards an ideal rowing technique for performance: the contributions from biomechanics. Sports Med 34(12):825–848CrossRefGoogle Scholar
  27. 27.
    Varni G, Dubus G, Oksanen S, Volpe G, Fabiani M, Bresin R, Kleimola J, Välimäki V, Camurri A (2012) Interactive sonification of synchronisation of motoric behaviour in social active listening to music with mobile devices. J Multimodal User Interfaces 5(3–4):157–173CrossRefGoogle Scholar
  28. 28.
    Vogt K, Pirrò D, Kobenz I, Höldrich R, Eckel G (2010) PhysioSonic: evaluated movement sonification as auditory feedback in physiotherapy. In: Ystad S, Aramaki M, Kronland-Martinet R, Jensen K (eds) Auditory display, Lecture notes in computer science, vol 5954. Springer, Berlin, pp 103–120Google Scholar
  29. 29.
    Wulf G, Shea CH, Matschiner S (1998) Frequent feedback enhances complex motor skill learning. J Motor Behav 30(2):180–192CrossRefGoogle Scholar

Copyright information

© International Sports Engineering Association 2014

Authors and Affiliations

  1. 1.Sound and Music Computing, School of Computer Science and CommunicationKTH Royal Institute of TechnologyStockholmSweden

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