Final report on the portable computerized assessments of sleepy drivers in operational environments.
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Summary
This study addresses the critical safety issue of drowsy driving, which contributes to a significant proportion of motor vehicle crashes. The research was motivated by the lack of a gold standard field test for Motor Vehicle Enforcement Officers to identify drivers impaired by sleepiness. While the Psychomotor Vigilance Task (PVT) is known to be sensitive to sleep deprivation, its 10–11 minute duration makes it impractical for roadside administration. The study aimed to determine if shorter, computerized cognitive tests could effectively detect sleep impairment and whether objective or subjective measures of sleepiness predicted performance on these tasks. The researchers conducted an experimental study with 46 healthy adults working night or rotating shifts. Participants completed seven computerized cognitive tests assessing attention, memory, and psychomotor speed, alongside the standard PVT, twice: once before and once after a full work shift. This counterbalanced design allowed for the isolation of sleepiness effects from practice effects. Sleepiness was quantified using objective measures, such as hours awake and two-week sleep diaries, and subjective measures, including the Stanford Sleepiness Scale and Epworth Sleepiness Scale. Statistical analyses included repeated-measure ANOVAs to compare pre- and post-shift performance and correlations to link cognitive scores with sleepiness indices. The results indicated that sleepiness effects were detected in only three of the six brief cognitive tasks, whereas the PVT showed consistent slowing in both best and typical reaction times. Specifically, the Visual Search and Spatial Working Memory tasks showed significant slowing only in high-clutter conditions, with reaction time increases of 26 to 54 milliseconds. However, these brief tests lacked the consistency of the PVT. Crucially, post-shift cognitive performance showed weak correlations with objective sleepiness markers. The PVT, despite being the most sensitive to pre-post shift changes, failed to correlate with the number of hours awake. Only the PVT showed meaningful associations with subjective ratings of acute and cumulative sleepiness. The authors conclude that it is currently not possible to set absolute performance thresholds to identify sleep-impaired drivers using cognitive tests in the field. The variability in individual baselines, the influence of stress during traffic stops, and the inability to distinguish sleepiness from other impairments like intoxication render field-based cognitive testing unreliable. Consequently, the report recommends against relying on such tests for enforcement. Instead, it advocates for industry-wide Fatigue Risk Management Systems (FRMS) that manage work-rest cycles, along with education and policy interventions to mitigate drowsy driving risks.
Key finding
The Psychomotor Vigilance Task was the only cognitive test to consistently show slowed reaction times due to sleepiness, yet it failed to correlate significantly with objective measures of acute sleep deprivation.
Methodology
field_study
Sample size: 46
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- sleep deprivation
- drowsiness detection algorithms
- drowsiness
- truck driver fatigue
- time on task
- shift work driving
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Empirical Findings: physiological data
- Methodological Resource: validation psychometrics
- Theoretical Contribution: theory or model