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Record W305266587

TNO Contribution to the Quest 303 Trial - Human Performance Assessed by a Vigilance and Tracking Test, a Multi-Attribute Task, and by Dynamic Visual Acuity (TNO Bijdrage aan het Quest 303 Onderzoek)

2008· article· en· W305266587 on OpenAlexaboutno aff
J.E. Bos, Maarten A. Hogervorst, K. Munnoch, James L. Colwell

Bibliographic record

VenueDefense Technical Information Center (DTIC) · 2008
Typearticle
Languageen
FieldEngineering
TopicMaritime Navigation and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsVigilance (psychology)Sea trialMotion sicknessSimulationComputer sciencePsychologyEngineeringCognitive psychologyMarine engineering
DOInot available

Abstract

fetched live from OpenAlex

A multi-national sea trial on the effects of ship motions on human performance was performed off the coast of Canada, in early 2007. Primary goal: To obtain subjective and objective measures for human task performance, possibly affected by real ship motion. TNO participated with a Vigilance and Tracking Test, a Multi-Attribute Task, and a Dynamic Visual Acuity test. The experiment was conducted in three phases: a pre-exposure phase in harbour, an exposure phase at sea, (sea conditions varying from calm to low sea state six) and a post-exposure phase in sheltered waters to re-examine baseline performance. Experiment schedule and protocol are described, motions and wave conditions encountered during the trial, and the results of the Dutch tests are presented. Results: Cognitive performance and visual acuity are impaired by ship motion. This seems to be caused by seasickness in particular, possibly even more so than by ship motion per se. Tracking was affected only by sickness, and not by motion itself. Apart from showing that DVA is of value to further quantify human performance, these data also support the development of an onsite fit-to-perform screening tool based on DVA.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.261
Teacher spread0.249 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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