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Record W1993930201 · doi:10.1109/achi.2010.40

Vibrotactile Display of Music on the Human Back

2010· article· en· W1993930201 on OpenAlexafffund
Carmen Branje, Michael Maksimouski, Maria Karam, Deborah I. Fels, Frank Russo

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicTactile and Sensory Interactions
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsContactorAcousticsVibrationOctave (electronics)Computer scienceSpeech recognitionPhysics

Abstract

fetched live from OpenAlex

We present an experiment designed to reveal characteristics of a tactile display that presents vibrations representing music to the back of the body. Based on the model human cochlea, a sensory substitution system aimed at translating music into vibrations, we are investigating the use of larger contactor sizes (over 10mm in diameter) as an effective device for the detection of signals originating from music. Using the method of limits, we measured ability to discriminate the frequency of vibrotactile stimuli across a wide range of frequencies common to western classical harmonic music. Vibrotactile stimuli were presented to artificially deafened participants using a large contactor applied to the back. Between 65 Hz (C2) and 1047 Hz (C6), frequency difference limens (FDL) were consistently less than 1/3 of an octave and as small as 200 cents. These findings suggest that vibrotactile information can be used to support the experience of music even in the absence of sound, and that voice coils are effective in presenting some characteristics of sound as vibrations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.057
GPT teacher head0.299
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations25
Published2010
Admission routes2
Has abstractyes

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