Pith. sign in

REVIEW

ShIFT: A Semi-haptic Interface for Flute Tutoring

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1803.06625 v2 pith:7QYNY27R submitted 2018-03-18 cs.HC

classification cs.HC
keywords learninginterfacepiecessemi-hapticdurationeffectivehaptichaptically
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

Traditional instrument learning is time-consuming. It begins with learning music notation and necessitates layers of sophistication and abstraction. Haptic interfaces open another door to the music world for the vast majority of beginners when traditional training methods are not effective. However, existing haptic interfaces can only deal with specially designed pieces with great restrictions on performance duration and pitch range due to the fact that not all performance motions could be guided haptically for most instruments. Our system breaks such restrictions using a semi-haptic interface. For the first time, the pitch range of the haptically learned pieces goes beyond an octave (with the fingering motion covers most of the possible choices) and the duration of learned pieces cover a whole phrase. This significant change leads to a more realistic instrument learning process. Experiments show that our semi-haptic interface is effective as long as learners are not "tone deaf." Using our prototype device, the learning rate is about 30% faster compared to learning from videos.

Discussion (0). Continue with ORCID to comment.

Pith tools