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Record W1985301962 · doi:10.1080/03610730500511918

Visual Attention and Older Drivers: The Contribution of Inhibition of Return to Safe Driving

2006· article· en· W1985301962 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueExperimental Aging Research · 2006
Typearticle
Languageen
FieldHealth Professions
TopicOlder Adults Driving Studies
Canadian institutionsLakehead UniversitySt. Joseph's Care Group
Fundersnot available
KeywordsInhibition of returnMechanism (biology)Visual searchPsychologyReflexivityCognitive psychologyVisual attentionPoison controlHuman factors and ergonomicsDocumentationSafe drivingDevelopmental psychologyCognitionMedicineNeuroscienceComputer scienceEngineeringMedical emergency

Abstract

fetched live from OpenAlex

Increasing data suggest that visual attention may be impaired in some older drivers, and that such impairment may be related to poorer driving abilities and a higher crash risk. Because effective scanning of the environment is important for safe driving, the authors sought to examine the relationship between a reflexive visual attention mechanism and driving. To examine this issue the authors conducted a preliminary study using the inhibition of return (IOR) paradigm, which has been labeled as a fundamental search mechanism. Forty-one drivers aged 55 and over completed two on-road driving evaluations and IOR testing. After accounting for the contribution of age, IOR statistically predicted overall driving evaluation scores (p = .045), and the number of errors in scanning the environment (p = .031). To the authors' knowledge these findings represent the first documentation of a relationship between IOR and driving. The results are informative regarding the importance of reflexive visual attention mechanisms towards safe driving.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score0.604

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 communication0.0000.000
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 head0.046
GPT teacher head0.474
Teacher spread0.428 · 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