SUBJECTIVE AND INDIRECT METHODS TO OBSERVE DRIVER’S DROWSINESS AND ALERTNESS: AN OVERVIEW
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Summary
This review paper addresses the critical issue of driver fatigue, drowsiness, and alertness, which are significant contributors to traffic accidents and human error. The authors aim to assess the current status of research on fatigue detection technologies, specifically focusing on subjective and indirect methods. The motivation stems from the high cost and frequency of accidents attributable to human factors, necessitating reliable tools for fatigue management in driving and shift work contexts. The study seeks to provide a comprehensive overview of existing assessment tools to guide future research and the development of countermeasures. The methodology involved a systematic review of twenty-six relevant studies retrieved from electronic databases such as Science Direct and Google Scholar, dating back to 1997. The search utilized keywords including "fatigue," "drowsiness," "alertness," "sleepiness," "subjective and indirect method," and "driver." The authors analyzed these studies to categorize and compare the various subjective measures employed. The review distinguishes between objective methods, which are reliable but expensive and invasive (e.g., EEG, EOG), and subjective methods, which are quicker, cheaper, and easier to administer but prone to bias. The analysis highlights that many studies combine both approaches to validate findings. The findings identify three primary categories of subjective methods used in past research: standardized subjective scales, checklists, and performance tests. Five standardized scales are detailed: the Stanford Sleepiness Scale (SSS), Karolinska Sleepiness Scale (KSS), Visual Analogue Scales (VAS), Samn-Perelli Seven-point Fatigue Scale (SPS), and Epworth Sleepiness Scale (ESS). The KSS is noted for its strong correlation with time of day and objective physiological changes, particularly when scores exceed seven. Checklists, such as the FACES Adjective Checklist, are used to identify specific feelings and symptoms of fatigue. Performance tests, including visual response tests and PERCLOS (eye closure measurement), assess behavioral responses and attention lapses. The review notes that while subjective scales are less demanding than checklists, performance tests often require longer durations to accurately reflect fatigue levels. The significance of this review lies in its conclusion that while subjective methods offer practical advantages for routine use due to their simplicity and lack of invasive equipment, they are best utilized in combination with objective methods to ensure reliability. The authors emphasize that understanding the psychology of fatigue through these validated tools is essential for improving safety in driving and other daily tasks. The paper provides a critical discussion on the designs used in past studies, offering insights for future researchers and industry stakeholders to develop effective fatigue countermeasures and monitoring systems.
Key finding
Across 26 studies, no single subjective scale dominates; SSS, KSS, and VAS are the most widely used short-form sleepiness scales for drivers, and combining subjective scales with objective measures (e.g., EEG, EOG) yields the most reliable assessment of driver fatigue and alertness.
Methodology
review
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 discover_doaj on 2026-05-03 (7 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | author_sweep | — | — | 2 | 2026-05-27 |
| archive | success | — | — | — | 1 | 2026-05-03 |
| 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 | skipped | — | — | — | 4 | 2026-07-02 |
| promote | success | — | — | — | 1 | 2026-05-03 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 18 | 2026-06-11 |
| verify | partial | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified_with_issues.
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Information type
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- Empirical Findings: physiological data
- Methodological Resource: validation psychometrics, measurement protocol