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Record W1535115391

The effects of attending to auditory stimuli on driver speed and lane weaving behaviors in a driving simulator

2003· article· en· W1535115391 on OpenAlexafffundvenue
Kirsten Dugdale, Elzbieta B. Slawinski

Bibliographic record

VenueCanadian acoustics · 2003
Typearticle
Languageen
FieldPsychology
TopicSleep and Work-Related Fatigue
Canadian institutionsUniversity of Calgary
FundersUniversity of Calgary
KeywordsStimulus (psychology)WeavingDriving simulatorActive listeningPsychologyAuditory stimuliAudiologySimulationEngineeringCognitive psychologyCommunicationPerceptionMedicineNeuroscience
DOInot available

Abstract

fetched live from OpenAlex

The thought of whether or not attending to an auditory stimulus while driving in a simulator will have an effect on drivers' speed and lane-weaving behaviors was determined. A comedy sketch was used in the effect condition as it was assumed that because of the pleasant nature of the stimulus, participants will be more likely to attend to the stimulus than they would be to a neutral, non-engaging stimulus. It was hypothesized that drives attending to an engaging auditory stimulus will drive a significantly different speed than drivers listening to a nonsense recording of scrambled words.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.613

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.010
GPT teacher head0.270
Teacher spread0.260 · 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 designObservational
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
Published2003
Admission routes3
Has abstractyes

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