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Let's Frets! Assisting Guitar Students During Practice via Capacitive Sensing

Marky, Karola ; Weiß, Andreas ; Matviienko, Andrii ; Brandherm, Florian ; Wolf, Sebastian ; Schmitz, Martin ; Krell, Florian ; Müller, Florian ; Mühlhäuser, Max ; Kosch, Thomas (2021):
Let's Frets! Assisting Guitar Students During Practice via Capacitive Sensing.
2021 CHI Conference on Human Factors in Computing Systems, virtual Conference, 08.-13.05., DOI: 10.1145/3411764.3445595,
[Conference or Workshop Item]

Abstract

Learning a musical instrument requires regular exercise. However, students are often on their own during their practice sessions due to the limited time with their teachers, which increases the likelihood of mislearning playing techniques. To address this issue, we present Let's Frets - a modular guitar learning system that provides visual indicators and capturing of finger positions on a 3D-printed capacitive guitar fretboard. We based the design of Let's Frets on requirements collected through in-depth interviews with professional guitarists and teachers. In a user study (N=24), we evaluated the feedback modules of Let's Frets against fretboard charts. Our results show that visual indicators require the least time to realize new finger positions while a combination of visual indicators and {position capturing} yielded the highest playing accuracy. We conclude how Let's Frets enables independent practice sessions that can be translated to other musical instruments.

Item Type: Conference or Workshop Item
Erschienen: 2021
Creators: Marky, Karola ; Weiß, Andreas ; Matviienko, Andrii ; Brandherm, Florian ; Wolf, Sebastian ; Schmitz, Martin ; Krell, Florian ; Müller, Florian ; Mühlhäuser, Max ; Kosch, Thomas
Title: Let's Frets! Assisting Guitar Students During Practice via Capacitive Sensing
Language: English
Abstract:

Learning a musical instrument requires regular exercise. However, students are often on their own during their practice sessions due to the limited time with their teachers, which increases the likelihood of mislearning playing techniques. To address this issue, we present Let's Frets - a modular guitar learning system that provides visual indicators and capturing of finger positions on a 3D-printed capacitive guitar fretboard. We based the design of Let's Frets on requirements collected through in-depth interviews with professional guitarists and teachers. In a user study (N=24), we evaluated the feedback modules of Let's Frets against fretboard charts. Our results show that visual indicators require the least time to realize new finger positions while a combination of visual indicators and {position capturing} yielded the highest playing accuracy. We conclude how Let's Frets enables independent practice sessions that can be translated to other musical instruments.

Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
Event Title: 2021 CHI Conference on Human Factors in Computing Systems
Event Location: virtual Conference
Event Dates: 08.-13.05.
Date Deposited: 20 Jan 2021 16:17
DOI: 10.1145/3411764.3445595
URL / URN: https://fileserver.tk.informatik.tu-darmstadt.de/Publication...
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