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A master's thesis from Aalborg University
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A Saxophone Teaching Glove: Introducing Haptic Feedback Amongst Beginner Musical Enthusiasts

Authors

;

Term

4. term

Publication year

2021

Submitted on

Pages

12

Abstract

At spille saxofon er givende, men tidskrævende, især når man følger den traditionelle vej, hvor begyndere skal lære at læse noder, før de kan lave meningsfulde lyde. Den nylige vækst i selvstyret læring, forstærket under pandemien, har synliggjort nye udfordringer som faldende motivation og en svagere forbindelse mellem elev og lærer. Dette projekt præsenterer en prototype, der bruger haptisk (berøringsbaseret) vejledning: Lærere eller mentorer kan optage bevægelser og dele dem, og elever kan følge bevægelsessignaler sendt via berøring uden at være afhængige af traditionel nodenotation. I vores tests foretrak nybegyndere langsom og metodisk undervisning, mens deltagere med erfaring foretrak hurtigere, rytmefokuseret vejledning. Overordnet var saxofonister positive over for haptisk teknologi, men studiet rejser også spørgsmålet om, hvilke typer haptik og feedback den enkelte foretrækker.

Playing the saxophone is rewarding but time-consuming, especially when following traditional paths that ask beginners to read music before they can make meaningful sounds. The recent rise in self-directed learning, accelerated during the pandemic, has brought new challenges such as declining motivation and a weaker connection between students and teachers. This project introduces a prototype that uses haptic (touch-based) guidance: learners can follow movement cues delivered through touch, and people who want to teach can record and share those movements without relying on standard musical notation. In our tests, beginners strongly preferred slow, methodical instruction, while participants with prior experience favored faster, rhythm-focused guidance. Overall, saxophonists were receptive to haptic technology, but the study raises questions about which kinds of haptic cues and feedback different individuals prefer.

[This summary has been rewritten with the help of AI based on the project's original abstract]