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MusicJacket: the efficacy of real-time vibrotactile feedback for learning to play the violin

Published: 10 April 2010 Publication History

Abstract

This research investigates the potential for vibrotactile feedback to enhance motor learning in the context of playing the violin. A prototype has been built which delivers vibrotactile feedback to the arms to indicate to a novice player how to correctly hold the violin and how to bow in a straight manner. This prototype was tested in a pilot user study with four complete beginners. Observations showed improvements in three of the four players whilst receiving the feedback. We also discuss the pros and cons of using negative feedback to enhance learning.

References

[1]
Animazoo. http://www.animazoo.com/
[2]
Arduino. http://www.arduino.cc/
[3]
A. Bloomfield and N.I. Badler, "Virtual Training via Vibrotactile Arrays," Presence: Teleoperators & Virtual Environments, vol. 17, Apr. 2008, pp. 103--120.
[4]
J. Konczak, H. vander Velden, and L. Jaeger, Learning to play the violin: motor control by freezing, not freeing degrees of freedom," Journal of Motor Behavior, vol. 41, 2009, pp. 243--252.
[5]
J. Lieberman and C. Breazeal, "TIKL: Development of a Wearable Vibrotactile Feedback Suit for Improved Human Motor Learning," Robotics, IEEE Transactions on, vol. 23, 2007, pp. 919--926.
[6]
D. Spelmezan, M. Jacobs, A. Hilgers, and J. Borchers, "Tactile motion instructions for physical activities," Proc. CHI 2009.
[7]
van der Linden, J., Schoonderwaldt E., Bird J.,Johnson, R., MusicJacket - A Case Study in Combining Motion Capture and Vibrotactile Feedback to Teach Violin Bowing. IEEE Transactions on Instrumentation and Measurements, Special issue on Haptic, Audio and Visual Environments for Games. 2009, (Under review.)
[8]
van der Linden, J. Schoonderwaldt, E. Bird, J. Towards a real-time system for teaching novices correct violin bowing technique," Proc. HAVE 2009.

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  • (2024)Improving Electromyographic Muscle Response Times through Visual and Tactile Prior Stimulation in Virtual RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642091(1-17)Online publication date: 11-May-2024
  • (2024)Internet of Musical Things for Children2024 IEEE 5th International Symposium on the Internet of Sounds (IS2)10.1109/IS262782.2024.10704214(1-9)Online publication date: 30-Sep-2024
  • (2023)Research on wearable technologies for learning: a systematic reviewFrontiers in Education10.3389/feduc.2023.12703898Online publication date: 9-Nov-2023
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Published In

cover image ACM Conferences
CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing Systems
April 2010
2219 pages
ISBN:9781605589305
DOI:10.1145/1753846

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Association for Computing Machinery

New York, NY, United States

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Published: 10 April 2010

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Author Tags

  1. haptics
  2. motion capture
  3. vibrotactile feedback
  4. violin teaching
  5. wearable computing

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  • Extended-abstract

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CHI EA '10 Paper Acceptance Rate 350 of 1,346 submissions, 26%;
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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  • (2024)Improving Electromyographic Muscle Response Times through Visual and Tactile Prior Stimulation in Virtual RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642091(1-17)Online publication date: 11-May-2024
  • (2024)Internet of Musical Things for Children2024 IEEE 5th International Symposium on the Internet of Sounds (IS2)10.1109/IS262782.2024.10704214(1-9)Online publication date: 30-Sep-2024
  • (2023)Research on wearable technologies for learning: a systematic reviewFrontiers in Education10.3389/feduc.2023.12703898Online publication date: 9-Nov-2023
  • (2023)EyePiano: Leveraging Gaze For Reflective Piano LearningProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596065(1209-1223)Online publication date: 10-Jul-2023
  • (2023) The Role of Smart, Haptic Wearables in the Performance of Mensura Contemporary Music Review10.1080/07494467.2023.227979942:3(351-362)Online publication date: 28-Nov-2023
  • (2022)Technology-Enhanced Learning of PerformanceThe Oxford Handbook of Music Performance, Volume 210.1093/oxfordhb/9780190058869.013.24(528-C24.P144)Online publication date: 18-Mar-2022
  • (2021)Soloist: Generating Mixed-Initiative Tutorials from Existing Guitar Instructional Videos Through Audio ProcessingProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445162(1-14)Online publication date: 6-May-2021
  • (2020)Touching the audience: musical haptic wearables for augmented and participatory live music performancesPersonal and Ubiquitous Computing10.1007/s00779-020-01395-2Online publication date: 24-Mar-2020
  • (2019)Technology Use and Attitudes in Music LearningFrontiers in ICT10.3389/fict.2019.000116Online publication date: 31-May-2019
  • (2019)Learning Patient Transfers with TechnologyProceedings of Mensch und Computer 201910.1145/3340764.3340784(79-90)Online publication date: 8-Sep-2019
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