AR Graphic Representation of Musical Notes for Self-Learning on Guitar

Marta Sylvia del Río Guerra, Jorge Martín-Gutiérrez, Vicente Lopez-Chao, Rodolfo Flores-Parra, Mario Ramirez-Sosa

Research output: Contribution to journalArticle

Abstract

Despite being one of the most commonly self-taught instruments, and despite the ready availability of significant amounts of didactic material, the guitar is a challenging instrument to learn. This paper proposes an application based on augmented reality (AR) that is designed to teach beginner students basic musical chords on the guitar, and provides details of the experimental study performed to determine whether the AR methodology produced faster results than traditional one-on-one training with a music teacher. Participants were divided into two groups of the same size. Group 1 consisted of 32 participants who used the AR app to teach themselves guitar, while Group 2, with a further 32 participants, received formal instruction from a music teacher. Results found no differences in learning times between the two groups based on the variables of method and gender. However, participant feedback suggested that there are advantages to the self-taught approach using AR that are worth considering. A system usability scale (SUS) questionnaire was used to measure the usability of the application, obtaining a score of 82.5, which was higher than the average of 68 that indicates an application to be good from a user experience point of view, and satisfied the purpose for which the application was created.
Original languageEnglish
Article number4527
Number of pages14
JournalApplied Sciences (Switzerland)
Volume9
Issue number21
DOIs
Publication statusPublished - 1 Nov 2019

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Augmented reality
learning
instructors
music
education
Application programs
students
availability
Availability
methodology
Students
Feedback

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

Cite this

del Río Guerra, M. S., Martín-Gutiérrez, J., Lopez-Chao, V., Flores-Parra, R., & Ramirez-Sosa, M. (2019). AR Graphic Representation of Musical Notes for Self-Learning on Guitar. Applied Sciences (Switzerland), 9(21), [4527]. https://doi.org/10.3390/app9214527
del Río Guerra, Marta Sylvia ; Martín-Gutiérrez, Jorge ; Lopez-Chao, Vicente ; Flores-Parra, Rodolfo ; Ramirez-Sosa, Mario. / AR Graphic Representation of Musical Notes for Self-Learning on Guitar. In: Applied Sciences (Switzerland). 2019 ; Vol. 9, No. 21.
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del Río Guerra, MS, Martín-Gutiérrez, J, Lopez-Chao, V, Flores-Parra, R & Ramirez-Sosa, M 2019, 'AR Graphic Representation of Musical Notes for Self-Learning on Guitar', Applied Sciences (Switzerland), vol. 9, no. 21, 4527. https://doi.org/10.3390/app9214527

AR Graphic Representation of Musical Notes for Self-Learning on Guitar. / del Río Guerra, Marta Sylvia; Martín-Gutiérrez, Jorge; Lopez-Chao, Vicente; Flores-Parra, Rodolfo; Ramirez-Sosa, Mario.

In: Applied Sciences (Switzerland), Vol. 9, No. 21, 4527, 01.11.2019.

Research output: Contribution to journalArticle

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