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Record W2914838709 · doi:10.1386/ts.10.1.19_1

Experimental phenomenology in the development of a colocative audio-visual display

2017· article· en· W2914838709 on OpenAlexaff
Michael Filimowicz

Bibliographic record

VenueThe Soundtrack · 2017
Typearticle
Languageen
FieldNeuroscience
TopicTactile and Sensory Interactions
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPhenomenology (philosophy)PerceptionComputer scienceAudio visualComplement (music)SoftwareMultimediaComputer graphics (images)Cognitive sciencePsychologyEpistemology

Abstract

fetched live from OpenAlex

This article describes the methodological background for perceptual studies conducted on the author’s Pixelphonic display – a system that colocates visuals and their associated sounds in moving image displays. The concept of Pixelphonics is to add a spatial complement to synchronized sound, so that audio can now be in place with its image, in addition to being in time with it. Methods grounded in experimental phenomenology are used to better understand the general perceptual response to the system, which works by attaching a 2D array of audio exciters to the backside of a screen, connected to signal distribution and software. Findings show the general efficacy of the system and adequate perceptual resolution for further development and refinement of the display. One experiment is selected for discussion to illustrate the approach.

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 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 score0.091
Threshold uncertainty score0.559

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 studies0.0010.000
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 head0.091
GPT teacher head0.379
Teacher spread0.288 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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