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Record W849994654

Perceptual Characterization of a Tactile Display for a Live-Electronics Notification System

2014· article· en· W849994654 on OpenAlexaff
Emma Frid, M. Giordano, Marlon Schumacher, Marcelo M. Wanderley

Bibliographic record

VenueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2014
Typearticle
Languageen
FieldNeuroscience
TopicTactile and Sensory Interactions
Canadian institutionsMcGill University
Fundersnot available
KeywordsElectronicsComputer scienceTactile perceptionModular designPerceptionHaptic technologyAccelerometerArtificial intelligenceComputer visionHuman–computer interactionSimulationEngineeringElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

In this paper we present a study we conducted to assess physical and perceptual properties of a tactile display for a tactile notification system within the CIRMMT Live Electronics Framework (CLEF), a Max-based1 modular environment for composition and performance of live electronic music. Our tactile display is composed of two rotating eccentric mass actuators driven by a PWM signal generated from an Arduino microcontroller. We conducted physical measurements using an accelerometer and two user-based studies in order to evaluate: vibrotactile absolute perception threshold, differential threshold and vibration spectral peaks. Results, obtained through the use of a logit regression model, provide us with precise design guidelines. These guidelines will enable us to ensure robust perceptual discrimination between vibrotactile stimuli at different intensities. Among with other characterizations presented in this study, these guidelines will allow us to better design tactile cues for our notification system for live-electronics performance.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
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 score0.240
Threshold uncertainty score0.825

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.272
Teacher spread0.244 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2014
Admission routes1
Has abstractyes

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Same venueKTH Publication Database DiVA (KTH Royal Institute of Technology)Same topicTactile and Sensory InteractionsFrench-language works237,207