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Record W2399178718

Composition Techniques for the Ilinx Vibrotactile Garment.

2015· article· en· W2399178718 on OpenAlexafffund
Ian Hattwick, Ivan Carlos Franco, M. Giordano, Deborah Egloff, Marcelo M. Wanderley, Valérie Lamontagne, Ian Arawjo, Christopher L. Salter, Maurizio Martinucci

Bibliographic record

VenueThe Journal of the Abraham Lincoln Association · 2015
Typearticle
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsConcordia UniversityMcGill University
FundersCanada Council for the Arts
KeywordsHaptic technologyTactile stimuliFocus (optics)Computer scienceHuman–computer interactionKey (lock)Sensory systemWork (physics)MultimediaChannel (broadcasting)PsychologyCognitive psychologyEngineeringSimulationTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

In 2014 the multi-sensory immersive experience Ilinx was premiered at the TodaysArt 2014 festival in The Hague. A key element of this work was the creation of a full-body vibrotactile garment that provided haptic sensations, working in tandem with the visual and auditory elements of the piece. The tactile sensory channel is significantly different from the auditory channel, posing novel challenges from both the technical and conceptual perspectives. We describe our experiences in the addressing these challenges and focus particularly in the discussion of different techniques for the creation of tactile stimuli compositions in a multimedia work.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.957
Threshold uncertainty score0.309

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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 science0.0010.000
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 head0.027
GPT teacher head0.292
Teacher spread0.265 · 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 designNot applicable
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
Published2015
Admission routes2
Has abstractyes

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