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Record W2014214242 · doi:10.1109/icvr.2013.6662129

Development of a new virtual environment for a power wheelchair simulator: A user-centered approach

2013· article· en· W2014214242 on OpenAlexaff
Philippe S. Archambault, Gordon Tao, Caryne Torkia, Patrick Boissy, Martin Lemay, Denise Reid, François Routhier, Stephen E. Ryan, Janet Woodhouse

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalUniversité LavalUniversité de SherbrookeCentre Hospitalier Universitaire Sainte-JustineUniversity of TorontoMcGill University
Fundersnot available
KeywordsWheelchairHuman–computer interactionComputer scienceProcess (computing)Virtual realityVirtual machineSimulationPower (physics)Iterative and incremental developmentMultimediaSoftware engineeringWorld Wide WebOperating system

Abstract

fetched live from OpenAlex

A virtual reality simulator can provide a safe environment to practice power wheelchair skills. We developed a virtual community center through an iterative process based on expert user feedback. A team including occupational therapists, researchers and game developers created a first version. Feedback led to a second version, which was evaluated by a larger group of clinicians and young wheelchair users.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.999

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)0.0020.000

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 head0.103
GPT teacher head0.387
Teacher spread0.284 · 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.

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
Published2013
Admission routes1
Has abstractyes

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