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Adaptive Multimodal Music Learning via Interactive-haptic Instrument

Authors: Yian Zhang; Yinmiao Li; Daniel Chin; Gus Xia;

Adaptive Multimodal Music Learning via Interactive-haptic Instrument

Abstract

Haptic interfaces have untapped the sense of touch to assist multimodal music learning. We have recently seen various improvements of interface design on tactile feedback and force guidance aiming to make instrument learning more effective. However, most interfaces are still quite static; they cannot yet sense the learning progress and adjust the tutoring strategy accordingly. To solve this problem, we contribute an adaptive haptic interface based on the latest design of haptic flute. We first adopted a clutch mechanism to enable the interface to turn on and off the haptic control flexibly in real time. The interactive tutor is then able to follow human performances and apply the "teacher force" only when the software instructs so. Finally, we incorporated the adaptive interface with a step-by-step dynamic learning strategy. Experimental results showed that dynamic learning dramatically outperforms static learning, which boosts the learning rate by 45.3% and shrinks the forgetting chance by 86%.

6 pages, 14 figures, 2 tables. This paper is accepted by NIME 2019(New Interface for Musical Expression)

Keywords

FOS: Computer and information sciences, H.5.5; I.2.9; I.2.6, I.2.6, Computer Science - Human-Computer Interaction, H.5.5, I.2.9, Human-Computer Interaction (cs.HC)

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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